Shie Mannor

According to our database, Shie Mannor authored at least 424 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of two.

2024

On the Global Convergence of Policy Gradient in Average Reward Markov Decision Processes.

Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Y. Levy, R. Srikant, Shie Mannor

CoRR, 2024

Conservative DDPG - Pessimistic RL without Ensemble.

Nitsan Soffair, Shie Mannor

CoRR, 2024

Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization.

Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant

CoRR, 2024

MinMaxMin Q-learning.

Nitsan Soffair, Shie Mannor

CoRR, 2024

SQT - std Q-target.

Nitsan Soffair, Dotan Di Castro, Orly Avner, Shie Mannor

CoRR, 2024

Improving Token-Based World Models with Parallel Observation Prediction.

Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor

CoRR, 2024

Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization.

Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Continuous-Time Fitted Value Iteration for Robust Policies.

Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Prospective Side Information for Latent MDPs.

Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis

CoRR, 2023

Implicitly Normalized Explicitly Regularized Density Estimation.

Mark Kozdoba, Binyamin Perets, Shie Mannor

CoRR, 2023

Robust Reinforcement Learning via Adversarial Kernel Approximation.

Kaixin Wang, Uri Gadot, Navdeep Kumar, Kfir Levy, Shie Mannor

CoRR, 2023

Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization.

Esther Derman, Yevgeniy Men, Matthieu Geist, Shie Mannor

CoRR, 2023

An Efficient Solution to s-Rectangular Robust Markov Decision Processes.

Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor

CoRR, 2023

Policy Gradient for s-Rectangular Robust Markov Decision Processes.

Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor

CoRR, 2023

SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search.

Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik

CoRR, 2023

Towards Deployable RL - What's Broken with RL Research and a Potential Fix.

Shie Mannor, Aviv Tamar

CoRR, 2023

CALM: Conditional Adversarial Latent Models for Directable Virtual Characters.

Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Policy Gradient for Rectangular Robust Markov Decision Processes.

Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimization or Architecture: How to Hack Kalman Filtering.

Ido Greenberg, Netanel Yannay, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Train Hard, Fight Easy: Robust Meta Reinforcement Learning.

Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Individualized Dosing Dynamics via Neural Eigen Decomposition.

Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient.

Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2023

Learning Hidden Markov Models When the Locations of Missing Observations are Unknown.

Binyamin Perets, Mark Kozdoba, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2023

Representation-Driven Reinforcement Learning.

Ofir Nabati, Guy Tennenholtz, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2023

Reward-Mixing MDPs with Few Latent Contexts are Learnable.

Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2023

Learning to Initiate and Reason in Event-Driven Cascading Processes.

Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik

Proceedings of the International Conference on Machine Learning, 2023

Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs.

Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning.

Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Planning and Learning with Adaptive Lookahead.

Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reinforcement Learning for Datacenter Congestion Control.

Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor

SIGMETRICS Perform. Evaluation Rev., 2022

Policy Gradient for Reinforcement Learning with General Utilities.

Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor

CoRR, 2022

SoftTreeMax: Policy Gradient with Tree Search.

Gal Dalal, Assaf Hallak, Shie Mannor, Gal Chechik

CoRR, 2022

Actor-Critic based Improper Reinforcement Learning.

Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor

CoRR, 2022

Efficient Policy Iteration for Robust Markov Decision Processes via Regularization.

Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor

CoRR, 2022

Whats Missing? Learning Hidden Markov Models When the Locations of Missing Observations are Unknown.

Binyamin Perets, Mark Kozdoba, Shie Mannor

CoRR, 2022

Learning to reason about and to act on physical cascading events.

Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik

CoRR, 2022

Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics.

Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor

CoRR, 2022

Reinforcement Learning with a Terminator.

Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning.

Guy Tennenholtz, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tractable Optimality in Episodic Latent MABs.

Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Finite Sample Analysis Of Dynamic Regression Parameter Learning.

Mark Kozdoba, Edward Moroshko, Shie Mannor, Yacov Crammer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Risk-Averse Reinforcement Learning.

Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Actor-Critic based Improper Reinforcement Learning.

Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2022

The Geometry of Robust Value Functions.

Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2022

Analysis of Stochastic Processes through Replay Buffers.

Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro

Proceedings of the International Conference on Machine Learning, 2022

Optimizing Tensor Network Contraction Using Reinforcement Learning.

Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik

Proceedings of the International Conference on Machine Learning, 2022

Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms.

Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2022

On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning.

Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit

Proceedings of the Tenth International Conference on Learning Representations, 2022

Reinforcement Learning for Extended Intelligence.

Shie Mannor

Proceedings of the 19th International Conference on Informatics in Control, 2022

DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles.

Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone

Proceedings of the Conference on Robot Learning, 2022

Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning.

Roy Zohar, Shie Mannor, Guy Tennenholtz

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Online Apprenticeship Learning.

Lior Shani, Tom Zahavy, Shie Mannor

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Inverse reinforcement learning in contextual MDPs.

Stav Belogolovsky, Philip Korsunsky, Shie Mannor, Chen Tessler, Tom Zahavy

Mach. Learn., 2021

Dare not to Ask: Problem-Dependent Guarantees for Budgeted Bandits.

Nadav Merlis, Yonathan Efroni, Shie Mannor

CoRR, 2021

Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling.

Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor

CoRR, 2021

Using Kalman Filter The Right Way: Noise Estimation Is Not Optimal.

Ido Greenberg, Shie Mannor, Netanel Yannay

CoRR, 2021

Maximum Entropy Reinforcement Learning with Mixture Policies.

Nir Baram, Guy Tennenholtz, Shie Mannor

CoRR, 2021

GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning.

Guy Tennenholtz, Nir Baram, Shie Mannor

CoRR, 2021

Improper Learning with Gradient-based Policy Optimization.

Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor

CoRR, 2021

Dimension Free Generalization Bounds for Non Linear Metric Learning.

Mark Kozdoba, Shie Mannor

CoRR, 2021

Bandits with partially observable confounded data.

Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Action redundancy in reinforcement learning.

Nir Baram, Guy Tennenholtz, Shie Mannor

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Known unknowns: Learning novel concepts using reasoning-by-elimination.

Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Robust Value Iteration for Continuous Control Tasks.

Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Sim and Real: Better Together.

Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RL for Latent MDPs: Regret Guarantees and a Lower Bound.

Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforcement Learning in Reward-Mixing MDPs.

Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Twice regularized MDPs and the equivalence between robustness and regularization.

Esther Derman, Matthieu Geist, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction.

Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Limited Memory Neural-Linear Bandits with Likelihood Matching.

Ofir Nabati, Tom Zahavy, Shie Mannor

Proceedings of the 38th International Conference on Machine Learning, 2021

Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks.

Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik

Proceedings of the 38th International Conference on Machine Learning, 2021

Value Iteration in Continuous Actions, States and Time.

Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg

Proceedings of the 38th International Conference on Machine Learning, 2021

Detecting Rewards Deterioration in Episodic Reinforcement Learning.

Ido Greenberg, Shie Mannor

Proceedings of the 38th International Conference on Machine Learning, 2021

Confidence-Budget Matching for Sequential Budgeted Learning.

Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor

Proceedings of the 38th International Conference on Machine Learning, 2021

Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning.

Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar

Proceedings of the 9th International Conference on Learning Representations, 2021

Acting in Delayed Environments with Non-Stationary Markov Policies.

Esther Derman, Gal Dalal, Shie Mannor

Proceedings of the 9th International Conference on Learning Representations, 2021

Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks.

Roi Pony, Itay Naeh, Shie Mannor

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

On the Volatility of Optimal Control Policies of a Class of Linear Quadratic Regulators.

Avi Mohan, Shie Mannor, Arman C. Kizilkale

Proceedings of the 2021 American Control Conference, 2021

Lenient Regret for Multi-Armed Bandits.

Nadav Merlis, Shie Mannor

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Reinforcement Learning with Trajectory Feedback.

Yonathan Efroni, Nadav Merlis, Shie Mannor

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems.

Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu

CoRR, 2020

Drift Detection in Episodic Data: Detect When Your Agent Starts Faltering.

Ido Greenberg, Shie Mannor

CoRR, 2020

How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks.

Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik

CoRR, 2020

The Pendulum Arrangement: Maximizing the Escape Time of Heterogeneous Random Walks.

Asaf B. Cassel, Shie Mannor, Guy Tennenholtz

CoRR, 2020

Bandits with Partially Observable Offline Data.

Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni

CoRR, 2020

Distributional Robustness and Regularization in Reinforcement Learning.

Esther Derman, Shie Mannor

CoRR, 2020

Exploration-Exploitation in Constrained MDPs.

Yonathan Efroni, Shie Mannor, Matteo Pirotta

CoRR, 2020

Stealing Black-Box Functionality Using The Deep Neural Tree Architecture.

Daniel Teitelman, Itay Naeh, Shie Mannor

CoRR, 2020

Kalman meets Bellman: Improving Policy Evaluation through Value Tracking.

Shirli Di-Castro Shashua, Shie Mannor

CoRR, 2020

Price Volatility in Electricity Markets: A Stochastic Control Perspective.

Avinash Mohan, Shie Mannor, Arman C. Kizilkale

CoRR, 2020

Patternless Adversarial Attacks on Video Recognition Networks.

Itay Naeh, Roi Pony, Shie Mannor

CoRR, 2020

Maximizing the Total Reward via Reward Tweaking.

Chen Tessler, Shie Mannor

CoRR, 2020

Scalable Detection of Offensive and Non-compliant Content / Logo in Product Images.

Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Online Planning with Lookahead Policies.

Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimistic Policy Optimization with Bandit Feedback.

Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor

Proceedings of the 37th International Conference on Machine Learning, 2020

Topic Modeling via Full Dependence Mixtures.

Dan Fisher, Mark Kozdoba, Shie Mannor

Proceedings of the 37th International Conference on Machine Learning, 2020

Tight Lower Bounds for Combinatorial Multi-Armed Bandits.

Nadav Merlis, Shie Mannor

Proceedings of the Conference on Learning Theory, 2020

An adaptive stochastic optimization algorithm for resource allocation.

Xavier Fontaine, Shie Mannor, Vianney Perchet

Proceedings of the Algorithmic Learning Theory, 2020

Off-Policy Evaluation in Partially Observable Environments.

Guy Tennenholtz, Uri Shalit, Shie Mannor

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs.

Lior Shani, Yonathan Efroni, Shie Mannor

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-User Communication Networks: A Coordinated Multi-Armed Bandit Approach.

Orly Avner, Shie Mannor

IEEE/ACM Trans. Netw., 2019

Natural Language State Representation for Reinforcement Learning.

Erez Schwartz, Guy Tennenholtz, Chen Tessler, Shie Mannor

CoRR, 2019

Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients.

Chen Tessler, Nadav Merlis, Shie Mannor

CoRR, 2019

Multi-Step Greedy and Approximate Real Time Dynamic Programming.

Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor

CoRR, 2019

Practical Risk Measures in Reinforcement Learning.

Dotan Di Castro, Joel Oren, Shie Mannor

CoRR, 2019

Variance Estimation For Online Regression via Spectrum Thresholding.

Mark Kozdoba, Edward Moroshko, Shie Mannor, Koby Crammer

CoRR, 2019

Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces.

Chen Tessler, Tom Zahavy, Deborah Cohen, Daniel J. Mankowitz, Shie Mannor

CoRR, 2019

Image Matters: Detecting Offensive and Non-Compliant Content / Logo in Product Images.

Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor

CoRR, 2019

A Problem-Adaptive Algorithm for Resource Allocation.

Xavier Fontaine, Shie Mannor, Vianney Perchet

CoRR, 2019

Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching.

Tom Zahavy, Shie Mannor

CoRR, 2019

Trust Region Value Optimization using Kalman Filtering.

Shirli Di-Castro Shashua, Shie Mannor

CoRR, 2019

A Bayesian Approach to Robust Reinforcement Learning.

Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Distributional Policy Optimization: An Alternative Approach for Continuous Control.

Chen Tessler, Guy Tennenholtz, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning.

Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies.

Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Action Robust Reinforcement Learning and Applications in Continuous Control.

Chen Tessler, Yonathan Efroni, Shie Mannor

Proceedings of the 36th International Conference on Machine Learning, 2019

The Natural Language of Actions.

Guy Tennenholtz, Shie Mannor

Proceedings of the 36th International Conference on Machine Learning, 2019

Exploration Conscious Reinforcement Learning Revisited.

Lior Shani, Yonathan Efroni, Shie Mannor

Proceedings of the 36th International Conference on Machine Learning, 2019

Nonlinear Distributional Gradient Temporal-Difference Learning.

Chao Qu, Shie Mannor, Huan Xu

Proceedings of the 36th International Conference on Machine Learning, 2019

Reward Constrained Policy Optimization.

Chen Tessler, Daniel J. Mankowitz, Shie Mannor

Proceedings of the 7th International Conference on Learning Representations, 2019

Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem.

Nadav Merlis, Shie Mannor

Proceedings of the Conference on Learning Theory, 2019

On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters.

Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

How to Combine Tree-Search Methods in Reinforcement Learning.

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Detecting Cascades from Weak Signatures.

Eli A. Meirom, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai

IEEE Trans. Netw. Sci. Eng., 2018

Source Estimation in Time Series and the Surprising Resilience of HMMs.

Mark Kozdoba, Shie Mannor

IEEE Trans. Inf. Theory, 2018

Multi Instance Learning For Unbalanced Data.

Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer

CoRR, 2018

Revisiting Exploration-Conscious Reinforcement Learning.

Lior Shani, Yonathan Efroni, Shie Mannor

CoRR, 2018

Inspiration Learning through Preferences.

Nir Baram, Shie Mannor

CoRR, 2018

Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning.

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

CoRR, 2018

Interdependent Gibbs Samplers.

Mark Kozdoba, Shie Mannor

CoRR, 2018

Deep Learning Reconstruction of Ultra-Short Pulses.

Tom Zahavy, Alex Dikopoltsev, Oren Cohen, Shie Mannor, Mordechai Segev

CoRR, 2018

Train on Validation: Squeezing the Data Lemon.

Guy Tennenholtz, Tom Zahavy, Shie Mannor

CoRR, 2018

Chance-Constrained Outage Scheduling using a Machine Learning Proxy.

Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel

CoRR, 2018

Soft-Robust Actor-Critic Policy-Gradient.

Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning.

Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning.

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

PAC Bandits with Risk Constraints.

Yahel David, Balázs Szörényi, Mohammad Ghavamzadeh, Shie Mannor, Nahum Shimkin

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018

Beyond the One-Step Greedy Approach in Reinforcement Learning.

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

Proceedings of the 35th International Conference on Machine Learning, 2018

Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms.

Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning How Not to Act in Text-based Games.

Matan Haroush, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor

Proceedings of the 6th International Conference on Learning Representations, 2018

Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning.

Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor

Proceedings of the Conference On Learning Theory, 2018

A General Approach to Multi-Armed Bandits Under Risk Criteria.

Asaf B. Cassel, Shie Mannor, Assaf Zeevi

Proceedings of the Conference On Learning Theory, 2018

Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce.

Tom Zahavy, Abhinandan Krishnan, Alessandro Magnani, Shie Mannor

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning Robust Options.

Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Finite Sample Analyses for TD(0) With Function Approximation.

Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

<i>k</i>-Armed Bandit.

Shie Mannor

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Sequential Decision Making With Coherent Risk.

Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor

IEEE Trans. Autom. Control., 2017

Nonstochastic Multi-Armed Bandits with Graph-Structured Feedback.

Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile, Shie Mannor, Yishay Mansour, Ohad Shamir

SIAM J. Comput., 2017

Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests.

Noam Segev, Maayan Harel, Shie Mannor, Koby Crammer, Ran El-Yaniv

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Strategic Formation of Heterogeneous Networks.

Eli A. Meirom, Shie Mannor, Ariel Orda

IEEE J. Sel. Areas Commun., 2017

The Stochastic Firefighter Problem.

Guy Tennenholtz, Constantine Caramanis, Shie Mannor

CoRR, 2017

Situationally Aware Options.

Daniel J. Mankowitz, Aviv Tamar, Shie Mannor

CoRR, 2017

Deep Robust Kalman Filter.

Shirli Di-Castro Shashua, Shie Mannor

CoRR, 2017

Outlier Robust Online Learning.

Jiashi Feng, Huan Xu, Shie Mannor

CoRR, 2017

Finite Sample Analysis for TD(0) with Linear Function Approximation.

Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor

CoRR, 2017

Concentration Bounds for Two Timescale Stochastic Approximation with Applications to Reinforcement Learning.

Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor

CoRR, 2017

Online Learning with Many Experts.

Alon Cohen, Shie Mannor

CoRR, 2017

A Nonparametric Sequential Test for Online Randomized Experiments.

Vineet Abhishek, Shie Mannor

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Non-parametric Online AUC Maximization.

Balázs Szörényi, Snir Cohen, Shie Mannor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Shallow Updates for Deep Reinforcement Learning.

Nir Levine, Tom Zahavy, Daniel J. Mankowitz, Aviv Tamar, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Rotting Bandits.

Nir Levine, Koby Crammer, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Supervised learning for optimal power flow as a real-time proxy.

Raphaël Canyasse, Gal Dalal, Shie Mannor

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Approximate Value Iteration with Temporally Extended Actions (Extended Abstract).

Timothy A. Mann, Shie Mannor, Doina Precup

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Consistent On-Line Off-Policy Evaluation.

Assaf Hallak, Shie Mannor

Proceedings of the 34th International Conference on Machine Learning, 2017

Multi-objective Bandits: Optimizing the Generalized Gini Index.

Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor

Proceedings of the 34th International Conference on Machine Learning, 2017

End-to-End Differentiable Adversarial Imitation Learning.

Nir Baram, Oron Anschel, Itai Caspi, Shie Mannor

Proceedings of the 34th International Conference on Machine Learning, 2017

Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization.

Daniel Vainsencher, Shie Mannor, Huan Xu

Proceedings of the 30th Conference on Learning Theory, 2017

Proxy Voting for Better Outcomes.

Gal Cohensius, Shie Mannor, Reshef Meir, Eli A. Meirom, Ariel Orda

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

A Deep Hierarchical Approach to Lifelong Learning in Minecraft.

Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Robust MDPs with <i>k</i>-Rectangular Uncertainty.

Shie Mannor, Ofir Mebel, Huan Xu

Math. Oper. Res., 2016

Reinforcement Learning in Robust Markov Decision Processes.

Shiau Hong Lim, Huan Xu, Shie Mannor

Math. Oper. Res., 2016

Learning the Variance of the Reward-To-Go.

Aviv Tamar, Dotan Di Castro, Shie Mannor

J. Mach. Learn. Res., 2016

Regularized Policy Iteration with Nonparametric Function Spaces.

Amir-massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor

J. Mach. Learn. Res., 2016

Visualizing Dynamics: from t-SNE to SEMI-MDPs.

Nir Ben-Zrihem, Tom Zahavy, Shie Mannor

CoRR, 2016

Is a picture worth a thousand words? A Deep Multi-Modal Fusion Architecture for Product Classification in e-commerce.

Tom Zahavy, Alessandro Magnani, Abhinandan Krishnan, Shie Mannor

CoRR, 2016

How to Allocate Resources For Features Acquisition?

Oran Richman, Shie Mannor

CoRR, 2016

Bending the Curve: Improving the ROC Curve Through Error Redistribution.

Oran Richman, Shie Mannor

CoRR, 2016

Adaptive Lambda Least-Squares Temporal Difference Learning.

Timothy A. Mann, Hugo Penedones, Shie Mannor, Todd Hester

CoRR, 2016

Situational Awareness by Risk-Conscious Skills.

Daniel J. Mankowitz, Aviv Tamar, Shie Mannor

CoRR, 2016

Iterative Hierarchical Optimization for Misspecified Problems (IHOMP).

Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor

CoRR, 2016

Clustering Time Series and the Surprising Robustness of HMMs.

Mark Kozdoba, Shie Mannor

CoRR, 2016

A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients.

Irit Hochberg, Guy Feraru, Mark Kozdoba, Shie Mannor, Moshe Tennenholtz, Elad Yom-Tov

CoRR, 2016

Ensemble Robustness of Deep Learning Algorithms.

Jiashi Feng, Tom Zahavy, Bingyi Kang, Huan Xu, Shie Mannor

CoRR, 2016

Unit Commitment using Nearest Neighbor as a Short-Term Proxy.

Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel

CoRR, 2016

Deep Reinforcement Learning Discovers Internal Models.

Nir Baram, Tom Zahavy, Shie Mannor

CoRR, 2016

Model-based Adversarial Imitation Learning.

Nir Baram, Oron Anschel, Shie Mannor

CoRR, 2016

Distributed scenario-based optimization for asset management in a hierarchical decision making environment.

Gal Dalal, Elad Gilboa, Shie Mannor

Proceedings of the Power Systems Computation Conference, 2016

INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data.

Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien, Dermot Kinane, Jakub Marecek, Jia Yuan Yu, Rudi Verago, Elizabeth Daly, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Katharina Morik, François Schnitzler, Matthias Weidlich, Avigdor Gal, Shie Mannor, Hendrik Stange, Werner Halft, Gennady L. Andrienko

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Adaptive Skills Adaptive Partitions (ASAP).

Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Multi-user lax communications: A multi-armed bandit approach.

Orly Avner, Shie Mannor

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

Graying the black box: Understanding DQNs.

Tom Zahavy, Nir Ben-Zrihem, Shie Mannor

Proceedings of the 33nd International Conference on Machine Learning, 2016

Hierarchical Decision Making In Electricity Grid Management.

Gal Dalal, Elad Gilboa, Shie Mannor

Proceedings of the 33nd International Conference on Machine Learning, 2016

Heteroscedastic Sequences: Beyond Gaussianity.

Oren Anava, Shie Mannor

Proceedings of the 33nd International Conference on Machine Learning, 2016

Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis.

Assaf Hallak, Aviv Tamar, Rémi Munos, Shie Mannor

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Distinguishing Infections on Different Graph Topologies.

Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai

IEEE Trans. Inf. Theory, 2015

The Perturbed Variation.

Maayan Harel, Shie Mannor

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Approximate Value Iteration with Temporally Extended Actions.

Timothy A. Mann, Shie Mannor, Doina Precup

J. Artif. Intell. Res., 2015

Oracle-Based Robust Optimization via Online Learning.

Aharon Ben-Tal, Elad Hazan, Tomer Koren, Shie Mannor

Oper. Res., 2015

Bayesian Reinforcement Learning: A Survey.

Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar

Found. Trends Mach. Learn., 2015

Bootstrapping Skills.

Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor

CoRR, 2015

Actively Learning to Attract Followers on Twitter.

Nir Levine, Timothy A. Mann, Shie Mannor

CoRR, 2015

Overlapping Community Detection by Online Cluster Aggregation.

Mark Kozdoba, Shie Mannor

CoRR, 2015

Overlapping Communities Detection via Measure Space Embedding.

Mark Kozdoba, Shie Mannor

CoRR, 2015

Emphatic TD Bellman Operator is a Contraction.

Assaf Hallak, Aviv Tamar, Shie Mannor

CoRR, 2015

Off-policy evaluation for MDPs with unknown structure.

Assaf Hallak, François Schnitzler, Timothy A. Mann, Shie Mannor

CoRR, 2015

Contextual Markov Decision Processes.

Assaf Hallak, Dotan Di Castro, Shie Mannor

CoRR, 2015

Reinforcement Learning for the Unit Commitment Problem.

Gal Dalal, Shie Mannor

CoRR, 2015

Learning to coordinate without communication in multi-user multi-armed bandit problems.

Orly Avner, Shie Mannor

CoRR, 2015

Localized Epidemic Detection in Networks with Overwhelming Noise.

Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai, Ariel Orda

Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

Policy Gradient for Coherent Risk Measures.

Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Community Detection via Measure Space Embedding.

Mark Kozdoba, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach.

Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Online Learning for Adversaries with Memory: Price of Past Mistakes.

Oren Anava, Elad Hazan, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Semantic locality and context-based prefetching using reinforcement learning.

Leeor Peled, Shie Mannor, Uri C. Weiser, Yoav Etsion

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015

Local detection of infections in heterogeneous networks.

Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Formation games of reliable networks.

Eli A. Meirom, Shie Mannor, Ariel Orda

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Dynamic Sensing: Better Classification under Acquisition Constraints.

Oran Richman, Shie Mannor

Proceedings of the 32nd International Conference on Machine Learning, 2015

Off-policy Model-based Learning under Unknown Factored Dynamics.

Assaf Hallak, François Schnitzler, Timothy A. Mann, Shie Mannor

Proceedings of the 32nd International Conference on Machine Learning, 2015

Thompson Sampling for Learning Parameterized Markov Decision Processes.

Aditya Gopalan, Shie Mannor

Proceedings of The 28th Conference on Learning Theory, 2015

Sensor Selection for Crowdsensing Dynamical Systems.

François Schnitzler, Jia Yuan Yu, Shie Mannor

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Optimizing the CVaR via Sampling.

Aviv Tamar, Yonatan Glassner, Shie Mannor

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Learning When to Switch between Skills in a High Dimensional Domain.

Timothy A. Mann, Daniel J. Mankowitz, Shie Mannor

Proceedings of the Learning for General Competency in Video Games, 2015

2014

High-Throughput Energy-Efficient LDPC Decoders Using Differential Binary Message Passing.

Kevin Cushon, Saied Hemati, Camille Leroux, Shie Mannor, Warren J. Gross

IEEE Trans. Signal Process., 2014

Opportunistic Approachability and Generalized No-Regret Problems.

Andrey Bernstein, Shie Mannor, Nahum Shimkin

Math. Oper. Res., 2014

Set-valued approachability and online learning with partial monitoring.

Shie Mannor, Vianney Perchet, Gilles Stoltz

J. Mach. Learn. Res., 2014

Implicit Temporal Differences.

Aviv Tamar, Panos Toulis, Shie Mannor, Edoardo M. Airoldi

CoRR, 2014

Policy Gradients Beyond Expectations: Conditional Value-at-Risk.

Aviv Tamar, Yonatan Glassner, Shie Mannor

CoRR, 2014

Thompson Sampling for Learning Parameterized MDPs.

Aditya Gopalan, Shie Mannor

CoRR, 2014

Distributed Robust Learning.

Jiashi Feng, Huan Xu, Shie Mannor

CoRR, 2014

Network formation games with heterogeneous players and the internet structure.

Eli A. Meirom, Shie Mannor, Ariel Orda

Proceedings of the ACM Conference on Economics and Computation, 2014

Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights.

François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Sub-sampling for Multi-armed Bandits.

Akram Baransi, Odalric-Ambrym Maillard, Shie Mannor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Concurrent Bandits and Cognitive Radio Networks.

Orly Avner, Shie Mannor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

How hard is my MDP?" The distribution-norm to the rescue".

Odalric-Ambrym Maillard, Timothy A. Mann, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Robust Logistic Regression and Classification.

Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Loop-Aware Memory Prefetching Using Code Block Working Sets.

Adi Fuchs, Shie Mannor, Uri C. Weiser, Yoav Etsion

Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture, 2014

Scaling Up Robust MDPs using Function Approximation.

Aviv Tamar, Shie Mannor, Huan Xu

Proceedings of the 31th International Conference on Machine Learning, 2014

Time-Regularized Interrupting Options (TRIO).

Timothy A. Mann, Daniel J. Mankowitz, Shie Mannor

Proceedings of the 31th International Conference on Machine Learning, 2014

Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations.

Timothy A. Mann, Shie Mannor

Proceedings of the 31th International Conference on Machine Learning, 2014

Latent Bandits.

Odalric-Ambrym Maillard, Shie Mannor

Proceedings of the 31th International Conference on Machine Learning, 2014

Concept Drift Detection Through Resampling.

Maayan Harel, Shie Mannor, Ran El-Yaniv, Koby Crammer

Proceedings of the 31th International Conference on Machine Learning, 2014

Thompson Sampling for Complex Online Problems.

Aditya Gopalan, Shie Mannor, Yishay Mansour

Proceedings of the 31th International Conference on Machine Learning, 2014

Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center.

François Schnitzler, Thomas Liebig, Shie Mannor, Katharina Morik

Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management.

Alexander Artikis, Matthias Weidlich, François Schnitzler, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dimitrios Gunopulos, Dermot Kinane

Proceedings of the 17th International Conference on Extending Database Technology, 2014

Approachability in unknown games: Online learning meets multi-objective optimization.

Shie Mannor, Vianney Perchet, Gilles Stoltz

Proceedings of The 27th Conference on Learning Theory, 2014

Energy-efficient gear-shift LDPC decoders.

Kevin Cushon, Saied Hemati, Shie Mannor, Warren J. Gross

Proceedings of the IEEE 25th International Conference on Application-Specific Systems, 2014

2013

Outlier-Robust PCA: The High-Dimensional Case.

Huan Xu, Constantine Caramanis, Shie Mannor

IEEE Trans. Inf. Theory, 2013

Stochastic Decoding of LDPC Codes over GF(q).

Gabi Sarkis, Saied Hemati, Shie Mannor, Warren J. Gross

IEEE Trans. Commun., 2013

Relaxed Half-Stochastic Belief Propagation.

François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross

IEEE Trans. Commun., 2013

On information propagation in mobile call networks.

Kirill Dyagilev, Shie Mannor, Elad Yom-Tov

Soc. Netw. Anal. Min., 2013

Generating storylines from sensor data.

Jordan Frank, Shie Mannor, Doina Precup

Pervasive Mob. Comput., 2013

Time Series Analysis Using Geometric Template Matching.

Jordan Frank, Shie Mannor, Joelle Pineau, Doina Precup

IEEE Trans. Pattern Anal. Mach. Intell., 2013

A State Action Frequency Approach to Throughput Maximization over Uncertain Wireless Channels.

Krishna P. Jagannathan, Shie Mannor, Ishai Menache, Eytan H. Modiano

Internet Math., 2013

Dynamics in tree formation games.

Esteban Arcaute, Kirill Dyagilev, Ramesh Johari, Shie Mannor

Games Econ. Behav., 2013

Algorithmic aspects of mean-variance optimization in Markov decision processes.

Shie Mannor, John N. Tsitsiklis

Eur. J. Oper. Res., 2013

A Primal Condition for Approachability with Partial Monitoring

Shie Mannor, Vianney Perchet, Gilles Stoltz

CoRR, 2013

Online Learning for Loss Functions with Memory and Applications to Statistical Arbitrage

Oren Anava, Elad Hazan, Shie Mannor

CoRR, 2013

Robust High Dimensional Sparse Regression and Matching Pursuit

Yudong Chen, Constantine Caramanis, Shie Mannor

CoRR, 2013

Policy Evaluation with Variance Related Risk Criteria in Markov Decision Processes

Aviv Tamar, Dotan Di Castro, Shie Mannor

CoRR, 2013

Scaling Up Robust MDPs by Reinforcement Learning.

Aviv Tamar, Huan Xu, Shie Mannor

CoRR, 2013

Variance Adjusted Actor Critic Algorithms.

Aviv Tamar, Shie Mannor

CoRR, 2013

Formation Games and the Internet Structure.

Eli A. Meirom, Shie Mannor, Ariel Orda

CoRR, 2013

Thompson Sampling for Complex Bandit Problems.

Aditya Gopalan, Shie Mannor, Yishay Mansour

CoRR, 2013

Learning Multiple Models via Regularized Weighting.

Daniel Vainsencher, Shie Mannor, Huan Xu

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Online PCA for Contaminated Data.

Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Detecting epidemics using highly noisy data.

Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai

Proceedings of the Fourteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2013

Model selection in markovian processes.

Assaf Hallak, Dotan Di Castro, Shie Mannor

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Temporal Difference Methods for the Variance of the Reward To Go.

Aviv Tamar, Dotan Di Castro, Shie Mannor

Proceedings of the 30th International Conference on Machine Learning, 2013

Robust Sparse Regression under Adversarial Corruption.

Yudong Chen, Constantine Caramanis, Shie Mannor

Proceedings of the 30th International Conference on Machine Learning, 2013

Approachability, fast and slow.

Vianney Perchet, Shie Mannor

Proceedings of the COLT 2013, 2013

Opportunistic Strategies for Generalized No-Regret Problems.

Andrey Bernstein, Shie Mannor, Nahum Shimkin

Proceedings of the COLT 2013, 2013

Online Learning for Time Series Prediction.

Oren Anava, Elad Hazan, Shie Mannor, Ohad Shamir

Proceedings of the COLT 2013, 2013

2012

Dithered Belief Propagation Decoding.

François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross

IEEE Trans. Commun., 2012

Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem.

Huan Xu, Constantine Caramanis, Shie Mannor

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Distributionally Robust Markov Decision Processes.

Huan Xu, Shie Mannor

Math. Oper. Res., 2012

A Distributional Interpretation of Robust Optimization.

Huan Xu, Constantine Caramanis, Shie Mannor

Math. Oper. Res., 2012

Robustness and generalization.

Huan Xu, Shie Mannor

Mach. Learn., 2012

Statistical Optimization in High Dimensions.

Huan Xu, Constantine Caramanis, Shie Mannor

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Preface.

Shie Mannor, Nathan Srebro

Proceedings of the COLT 2012, 2012

More Is Better: Large Scale Partially-supervised Sentiment Classication.

Yoav Haimovitch, Koby Crammer, Shie Mannor

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Optimization Under Probabilistic Envelope Constraints.

Huan Xu, Constantine Caramanis, Shie Mannor

Oper. Res., 2012

More Is Better: Large Scale Partially-supervised Sentiment Classification - Appendix

Yoav Haimovitch, Koby Crammer, Shie Mannor

CoRR, 2012

How to sample if you must: on optimal functional sampling

Assaf Hallak, Shie Mannor

CoRR, 2012

Clustered Bandits

Loc Bui, Ramesh Johari, Shie Mannor

CoRR, 2012

Approximately optimal bidding policies for repeated first-price auctions.

Amir Danak, Shie Mannor

Ann. Oper. Res., 2012

Joint Stochastic Decoding of LDPC Codes and Partial-Response Channels.

Saeed Sharifi Tehrani, Paul H. Siegel, Shie Mannor, Warren J. Gross

Proceedings of the 2012 IEEE Workshop on Signal Processing Systems, 2012

Network forensics: random infection vs spreading epidemic.

Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai

Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty.

Shie Mannor, Ofir Mebel, Huan Xu

Proceedings of the 29th International Conference on Machine Learning, 2012

Policy Gradients with Variance Related Risk Criteria.

Dotan Di Castro, Aviv Tamar, Shie Mannor

Proceedings of the 29th International Conference on Machine Learning, 2012

Decoupling Exploration and Exploitation in Multi-Armed Bandits.

Orly Avner, Shie Mannor, Ohad Shamir

Proceedings of the 29th International Conference on Machine Learning, 2012

Large scale real-time bidding in the smart grid: A mean field framework.

Arman C. Kizilkale, Shie Mannor, Peter E. Caines

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Duality of ancillary services and intermittent suppliers.

Arman C. Kizilkale, Shie Mannor

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

On identifying the causative network of an epidemic.

Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Bayesian Reinforcement Learning.

Nikos Vlassis, Mohammad Ghavamzadeh, Shie Mannor, Pascal Poupart

Proceedings of the Reinforcement Learning, 2012

2011

Tracking Forecast Memories for Stochastic Decoding.

Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Shie Mannor, Warren J. Gross

J. Signal Process. Syst., 2011

Delayed Stochastic Decoding of LDPC Codes.

Ali Naderi, Shie Mannor, Mohamad Sawan, Warren J. Gross

IEEE Trans. Signal Process., 2011

Efficient Bidding in Dynamic Grid Markets.

Amir Danak, Shie Mannor

IEEE Trans. Parallel Distributed Syst., 2011

A Robust Learning Approach to Repeated Auctions With Monitoring and Entry Fees.

Amir Danak, Shie Mannor

IEEE Trans. Comput. Intell. AI Games, 2011

The Sample Complexity of Dictionary Learning.

Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein

J. Mach. Learn. Res., 2011

Robust approachability and regret minimization in games with partial monitoring.

Shie Mannor, Vianney Perchet, Gilles Stoltz

Proceedings of the COLT 2011, 2011

Does an Efficient Calibrated Forecasting Strategy Exist?

Jacob D. Abernethy, Shie Mannor

Proceedings of the COLT 2011, 2011

Regulation, Volatility and Efficiency in Continuous-Time Markets

Arman C. Kizilkale, Shie Mannor

CoRR, 2011

Bandits with an Edge

Dotan Di Castro, Claudio Gentile, Shie Mannor

CoRR, 2011

Activity Recognition with Mobile Phones.

Jordan Frank, Shie Mannor, Doina Precup

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

From Bandits to Experts: On the Value of Side-Observations.

Shie Mannor, Ohad Shamir

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Committing Bandits.

Loc Bui, Ramesh Johari, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Probabilistic Goal Markov Decision Processes.

Huan Xu, Shie Mannor

Proceedings of the IJCAI 2011, 2011

Unimodal Bandits.

Jia Yuan Yu, Shie Mannor

Proceedings of the 28th International Conference on Machine Learning, 2011

Bundle Selling by Online Estimation of Valuation Functions.

Daniel Vainsencher, Ofer Dekel, Shie Mannor

Proceedings of the 28th International Conference on Machine Learning, 2011

Mean-Variance Optimization in Markov Decision Processes.

Shie Mannor, John N. Tsitsiklis

Proceedings of the 28th International Conference on Machine Learning, 2011

Learning from Multiple Outlooks.

Maayan Harel, Shie Mannor

Proceedings of the 28th International Conference on Machine Learning, 2011

Regulation and double price mechanisms in markets with friction.

Arman C. Kizilkale, Shie Mannor

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Stochastic bandits with pathwise constraints.

Orly Avner, Shie Mannor

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Activity Recognition with Time-Delay Emobeddings.

Jordan Frank, Shie Mannor, Doina Precup

Proceedings of the Computational Physiology, 2011

2010

<i>k</i>-Armed Bandit.

Shie Mannor

Proceedings of the Encyclopedia of Machine Learning, 2010

Relaxation dynamics in stochastic iterative decoders.

Saeed Sharifi Tehrani, Chris Winstead, Warren J. Gross, Shie Mannor, Sheryl L. Howard, Vincent C. Gaudet

IEEE Trans. Signal Process., 2010

Majority-based tracking forecast memories for stochastic LDPC decoding.

Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Saied Hemati, Shie Mannor, Warren J. Gross

IEEE Trans. Signal Process., 2010

Robust regression and Lasso.

Huan Xu, Constantine Caramanis, Shie Mannor

IEEE Trans. Inf. Theory, 2010

A Min-Sum Iterative Decoder Based on Pulsewidth Message Encoding.

Kevin Cushon, Camille Leroux, Saied Hemati, Shie Mannor, Warren J. Gross

IEEE Trans. Circuits Syst. II Express Briefs, 2010

A Geometric Proof of Calibration.

Shie Mannor, Gilles Stoltz

Math. Oper. Res., 2010

Percentile Optimization for Markov Decision Processes with Parameter Uncertainty.

Erick Delage, Shie Mannor

Oper. Res., 2010

Stochastic Chase Decoding of Reed-Solomon Codes.

Camille Leroux, Saied Hemati, Shie Mannor, Warren J. Gross

IEEE Commun. Lett., 2010

Adaptive Bases for Reinforcement Learning.

Dotan Di Castro, Shie Mannor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Online Classification with Specificity Constraints.

Andrey Bernstein, Shie Mannor, Nahum Shimkin

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Generative models for rapid information propagation.

Kirill Dyagilev, Shie Mannor, Elad Yom-Tov

Proceedings of the First Workshop on Social Media Analytics, 2010

Resource Allocation with Supply Adjustment in Distributed Computing Systems.

Amir Danak, Shie Mannor

Proceedings of the 2010 International Conference on Distributed Computing Systems, 2010

A novel similarity measure for time series data with applications to gait and activity recognition.

Jordan Frank, Shie Mannor, Doina Precup

Proceedings of the UbiComp 2010: Ubiquitous Computing, 12th International Conference, 2010

Lowering Error Floors Using Dithered Belief Propagation.

François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross

Proceedings of the Global Communications Conference, 2010

Principal Component Analysis with Contaminated Data: The High Dimensional Case.

Huan Xu, Constantine Caramanis, Shie Mannor

Proceedings of the COLT 2010, 2010

Learning with Global Cost in Stochastic Environments.

Eyal Even-Dar, Shie Mannor, Yishay Mansour

Proceedings of the COLT 2010, 2010

Regulation and efficiency in markets with friction.

Arman C. Kizilkale, Shie Mannor

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Adaptive bases for Q-learning.

Dotan Di Castro, Shie Mannor

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Relaxed half-stochastic decoding of LDPC codes over GF(q).

Gabi Sarkis, Saied Hemati, Shie Mannor, Warren J. Gross

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Volatility and efficiency in markets with friction.

Arman C. Kizilkale, Shie Mannor

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Tutor learning using linear constraints in approximate dynamic programming.

Dotan Di Castro, Shie Mannor

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Activity and Gait Recognition with Time-Delay Embeddings.

Jordan Frank, Shie Mannor, Doina Precup

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

A Kalman Filter Design Based on the Performance/Robustness Tradeoff.

Huan Xu, Shie Mannor

IEEE Trans. Autom. Control., 2009

Network Formation: Bilateral Contracting and Myopic Dynamics.

Esteban Arcaute, Ramesh Johari, Shie Mannor

IEEE Trans. Autom. Control., 2009

Markov Decision Processes with Arbitrary Reward Processes.

Jia Yuan Yu, Shie Mannor, Nahum Shimkin

Math. Oper. Res., 2009

Robustness and Regularization of Support Vector Machines.

Huan Xu, Constantine Caramanis, Shie Mannor

J. Mach. Learn. Res., 2009

Online Learning with Sample Path Constraints.

Shie Mannor, John N. Tsitsiklis, Jia Yuan Yu

J. Mach. Learn. Res., 2009

Approachability in repeated games: Computational aspects and a Stackelberg variant.

Shie Mannor, John N. Tsitsiklis

Games Econ. Behav., 2009

Bidirectional interleavers for LDPC decoders using transmission gates.

Kevin Cushon, Warren J. Gross, Shie Mannor

Proceedings of the IEEE Workshop on Signal Processing Systems, 2009

High dimensional Principal Component Analysis with contaminated data.

Huan Xu, Constantine Caramanis, Shie Mannor

Proceedings of the 2009 IEEE Information Theory Workshop, 2009

Piecewise-stationary bandit problems with side observations.

Jia Yuan Yu, Shie Mannor

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Stochastic Decoding of LDPC Codes over GF(q).

Gabi Sarkis, Shie Mannor, Warren J. Gross

Proceedings of IEEE International Conference on Communications, 2009

Tracking Forecast Memories in stochastic decoders.

Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Shie Mannor, Warren J. Gross

Proceedings of the IEEE International Conference on Acoustics, 2009

A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes.

François Leduc-Primeau, Saied Hemati, Warren J. Gross, Shie Mannor

Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

Online learning in Markov decision processes with arbitrarily changing rewards and transitions.

Jia Yuan Yu, Shie Mannor

Proceedings of the 1st International Conference on Game Theory for Networks, 2009

Bidding efficiently in repeated auctions with entry and observation costs.

Amir Danak, Shie Mannor

Proceedings of the 1st International Conference on Game Theory for Networks, 2009

Online Learning for Global Cost Functions.

Eyal Even-Dar, Robert Kleinberg, Shie Mannor, Yishay Mansour

Proceedings of the COLT 2009, 2009

Arbitrarily modulated Markov decision processes.

Jia Yuan Yu, Shie Mannor

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Parametric regret in uncertain Markov decision processes.

Huan Xu, Shie Mannor

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Risk sensitive robust support vector machines.

Huan Xu, Constantine Caramanis, Shie Mannor, Sungho Yun

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Regularized Fitted Q-Iteration for planning in continuous-space Markovian decision problems.

Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor

Proceedings of the American Control Conference, 2009

2008

Fully Parallel Stochastic LDPC Decoders.

Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross

IEEE Trans. Signal Process., 2008

Strategies for Prediction Under Imperfect Monitoring.

Gábor Lugosi, Shie Mannor, Gilles Stoltz

Math. Oper. Res., 2008

Regret minimization in repeated matrix games with variable stage duration.

Shie Mannor, Nahum Shimkin

Games Econ. Behav., 2008

Robustness, Risk, and Regularization in Support Vector Machines

Huan Xu, Shie Mannor, Constantine Caramanis

CoRR, 2008

Local Two-Stage Myopic Dynamics for Network Formation Games.

Esteban Arcaute, Ramesh Johari, Shie Mannor

Proceedings of the Internet and Network Economics, 4th International Workshop, 2008

Efficient reinforcement learning in parameterized models: discrete parameters.

Kirill Dyagilev, Shie Mannor, Nahum Shimkin

Proceedings of the 3rd International ICST Conference on Performance Evaluation Methodologies and Tools, 2008

Regularized Policy Iteration.

Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A Lazy Approach to Online Learning with Constraints.

Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Reinforcement learning in the presence of rare events.

Jordan Frank, Shie Mannor, Doina Precup

Proceedings of the Machine Learning, 2008

Regularized Fitted Q-Iteration: Application to Planning.

Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case.

Kirill Dyagilev, Shie Mannor, Nahum Shimkin

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

Learning in the Limit with Adversarial Disturbances.

Constantine Caramanis, Shie Mannor

Proceedings of the 21st Annual Conference on Learning Theory, 2008

Robust dimensionality reduction for high-dimension data.

Huan Xu, Constantine Caramanis, Shie Mannor

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Local dynamics for network formation games.

Esteban Arcaute, Ramesh Johari, Shie Mannor

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Online Learning with Expert Advice and Finite-Horizon Constraints.

Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

An Inequality for Nearly Log-Concave Distributions With Applications to Learning.

Constantine Caramanis, Shie Mannor

IEEE Trans. Inf. Theory, 2007

Online calibrated forecasts: Memory efficiency versus universality for learning in games.

Shie Mannor, Jeff S. Shamma, Gürdal Arslan

Mach. Learn., 2007

Bias and Variance Approximation in Value Function Estimates.

Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis

Manag. Sci., 2007

Efficiency of Market-Based Resource Allocation among Many Participants.

Jia Yuan Yu, Shie Mannor

IEEE J. Sel. Areas Commun., 2007

Multi-agent learning for engineers.

Shie Mannor, Jeff S. Shamma

Artif. Intell., 2007

An Area-Efficient FPGA-Based Architecture for Fully-Parallel Stochastic LDPC Decoding.

Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross

Proceedings of the IEEE Workshop on Signal Processing Systems, 2007

Reinforcement Learning-Based Load Shared Sequential Routing.

Fariba Heidari, Shie Mannor, Lorne Mason

Proceedings of the NETWORKING 2007. Ad Hoc and Sensor Networks, 2007

Survey of Stochastic Computation on Factor Graphs.

Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross

Proceedings of the 37th International Symposium on Multiple-Valued Logic, 2007

Percentile optimization in uncertain Markov decision processes with application to efficient exploration.

Erick Delage, Shie Mannor

Proceedings of the Machine Learning, 2007

Non-Cooperative Design of Translucent Networks.

Benoît Châtelain, Shie Mannor, François Gagnon, David V. Plant

Proceedings of the Global Communications Conference, 2007

Dynamics and stability in network formation games with bilateral contracts.

Esteban Arcaute, Eric Dallal, Ramesh Johari, Shie Mannor

Proceedings of the 46th IEEE Conference on Decision and Control, 2007

User Model and Utility Based Power Management.

Chih-Han Yu, Shie Mannor, Georgios Theocharous, Avi Pfeffer

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Adaptive Timeout Policies for Fast Fine-Grained Power Management.

Branislav Kveton, Prashant Gandhi, Georgios Theocharous, Shie Mannor, Barbara Rosario, Nilesh Shah

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Design of ℓ₁-optimal controllers with flexible disturbance rejection level.

Patrick Cadotte, Shie Mannor, Hannah Michalska, Benoit Boulet

IEEE Trans. Autom. Control., 2006

Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems.

Eyal Even-Dar, Shie Mannor, Yishay Mansour

J. Mach. Learn. Res., 2006

Stochastic decoding of LDPC codes.

Saeed Sharifi Tehrani, Warren J. Gross, Shie Mannor

IEEE Commun. Lett., 2006

A contract-based model for directed network formation.

Ramesh Johari, Shie Mannor, John N. Tsitsiklis

Games Econ. Behav., 2006

The Robustness-Performance Tradeoff in Markov Decision Processes.

Huan Xu, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Asymptotics of Efficiency Loss in Competitive Market Mechanisms.

Jia Yuan Yu, Shie Mannor

Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006

Automatic basis function construction for approximate dynamic programming and reinforcement learning.

Philipp W. Keller, Shie Mannor, Doina Precup

Proceedings of the Machine Learning, 2006

Online Learning with Constraints.

Shie Mannor, John N. Tsitsiklis

Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

Online Learning with Variable Stage Duration.

Shie Mannor, Nahum Shimkin

Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

Design of l1-Optimal Controllers with Flexible Disturbance Rejection Level.

Patrick Cadotte, Shie Mannor, Hannah Michalska, Benoit Boulet

Proceedings of the American Control Conference, 2006

2005

Efficiency loss in a network resource allocation game: the case of elastic supply.

Ramesh Johari, Shie Mannor, John N. Tsitsiklis

IEEE Trans. Autom. Control., 2005

On the Empirical State-Action Frequencies in Markov Decision Processes Under General Policies.

Shie Mannor, John N. Tsitsiklis

Math. Oper. Res., 2005

Basis Function Adaptation in Temporal Difference Reinforcement Learning.

Ishai Menache, Shie Mannor, Nahum Shimkin

Ann. Oper. Res., 2005

A Tutorial on the Cross-Entropy Method.

Pieter-Tjerk de Boer, Dirk P. Kroese, Shie Mannor, Reuven Y. Rubinstein

Ann. Oper. Res., 2005

The Workshop Program at the Nineteenth National Conference on Artificial Intelligence.

Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh

AI Mag., 2005

The cross entropy method for classification.

Shie Mannor, Dori Peleg, Reuven Y. Rubinstein

Proceedings of the Machine Learning, 2005

Reinforcement learning with Gaussian processes.

Yaakov Engel, Shie Mannor, Ron Meir

Proceedings of the Machine Learning, 2005

2004

The kernel recursive least-squares algorithm.

Yaakov Engel, Shie Mannor, Ron Meir

IEEE Trans. Signal Process., 2004

The Sample Complexity of Exploration in the Multi-Armed Bandit Problem.

Shie Mannor, John N. Tsitsiklis

J. Mach. Learn. Res., 2004

A Geometric Approach to Multi-Criterion Reinforcement Learning.

Shie Mannor, Nahum Shimkin

J. Mach. Learn. Res., 2004

Bias and variance in value function estimation.

Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis

Proceedings of the Machine Learning, 2004

Dynamic abstraction in reinforcement learning via clustering.

Shie Mannor, Ishai Menache, Amit Hoze, Uri Klein

Proceedings of the Machine Learning, 2004

Reinforcement Learning for Average Reward Zero-Sum Games.

Shie Mannor

Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

Efficiency loss in a resource allocation game: A single link in elastic supply.

Ramesh Johari, Shie Mannor, John N. Tsitsiklis

Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003

The Empirical Bayes Envelope and Regret Minimization in Competitive Markov Decision Processes.

Shie Mannor, Nahum Shimkin

Math. Oper. Res., 2003

Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity.

Shie Mannor, Ron Meir, Tong Zhang

J. Mach. Learn. Res., 2003

The Cross Entropy Method for Fast Policy Search.

Shie Mannor, Reuven Y. Rubinstein, Yohai Gat

Proceedings of the Machine Learning, 2003

Action Elimination and Stopping Conditions for Reinforcement Learning.

Eyal Even-Dar, Shie Mannor, Yishay Mansour

Proceedings of the Machine Learning, 2003

Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning.

Yaakov Engel, Shie Mannor, Ron Meir

Proceedings of the Machine Learning, 2003

Lower Bounds on the Sample Complexity of Exploration in the Multi-armed Bandit Problem.

Shie Mannor, John N. Tsitsiklis

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

On-Line Learning with Imperfect Monitoring.

Shie Mannor, Nahum Shimkin

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

On the Existence of Linear Weak Learners and Applications to Boosting.

Shie Mannor, Ron Meir

Mach. Learn., 2002

Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning.

Ishai Menache, Shie Mannor, Nahum Shimkin

Proceedings of the Machine Learning: ECML 2002, 2002

Sparse Online Greedy Support Vector Regression.

Yaakov Engel, Shie Mannor, Ron Meir

Proceedings of the Machine Learning: ECML 2002, 2002

The Consistency of Greedy Algorithms for Classification.

Shie Mannor, Ron Meir, Tong Zhang

Proceedings of the Computational Learning Theory, 2002

PAC Bounds for Multi-armed Bandit and Markov Decision Processes.

Eyal Even-Dar, Shie Mannor, Yishay Mansour

Proceedings of the Computational Learning Theory, 2002

2001

The Steering Approach for Multi-Criteria Reinforcement Learning.

Shie Mannor, Nahum Shimkin

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Learning Embedded Maps of Markov Processes.

Yaakov Engel, Shie Mannor

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Adaptive Strategies and Regret Minimization in Arbitrarily Varying Markov Environments.

Shie Mannor, Nahum Shimkin

Proceedings of the Computational Learning Theory, 2001

Geometric Bounds for Generalization in Boosting.

Shie Mannor, Ron Meir

Proceedings of the Computational Learning Theory, 2001

2000

Weak Learners and Improved Rates of Convergence in Boosting.

Shie Mannor, Ron Meir

Proceedings of the Advances in Neural Information Processing Systems 13, 2000