Yisong Yue

According to our database1, Yisong Yue authored at least 152 papers between 2007 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions.
IEEE Trans. Robotics, 2022

Neural-Fly enables rapid learning for agile flight in strong winds.
Sci. Robotics, 2022

Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics.
IEEE Robotics Autom. Lett., 2022

Sampled-Data Stabilization With Control Lyapunov Functions via Quadratically Constrained Quadratic Programs.
IEEE Control. Syst. Lett., 2022

Policy Optimization with Linear Temporal Logic Constraints.
CoRR, 2022

Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings.
CoRR, 2022

Investigating Generalization by Controlling Normalized Margin.
CoRR, 2022

Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models.
CoRR, 2022

MLNav: Learning to Safely Navigate on Martian Terrains.
CoRR, 2022

Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision.
CoRR, 2022

LyaNet: A Lyapunov Framework for Training Neural ODEs.
CoRR, 2022

Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Safety-Aware Preference-Based Learning for Safety-Critical Control.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Learning Pseudo-Backdoors for Mixed Integer Programs.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2022

2021
Learning Invariant Representation of Tasks for Robust Surgical State Estimation.
IEEE Robotics Autom. Lett., 2021

Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems.
IEEE Robotics Autom. Lett., 2021

Multilabel Classification Models for the Prediction of Cross-Coupling Reaction Conditions.
J. Chem. Inf. Model., 2021

Neurosymbolic Programming.
Found. Trends Program. Lang., 2021

A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety.
IEEE Control. Syst. Lett., 2021

Self-Supervised Keypoint Discovery in Behavioral Videos.
CoRR, 2021

Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis.
CoRR, 2021

On the Implicit Biases of Architecture & Gradient Descent.
CoRR, 2021

Unsupervised Learning of Neurosymbolic Encoders.
CoRR, 2021

Interpreting Expert Annotation Differences in Animal Behavior.
CoRR, 2021

Meta-Adaptive Nonlinear Control: Theory and Algorithms.
CoRR, 2021

End-to-End Sequential Sampling and Reconstruction for MR Imaging.
CoRR, 2021

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions.
CoRR, 2021

Learning Unstable Dynamics with One Minute of Data: A Differentiation-based Gaussian Process Approach.
CoRR, 2021

Computing the Information Content of Trained Neural Networks.
CoRR, 2021

Disentangling Observed Causal Effects from Latent Confounders using Method of Moments.
CoRR, 2021

Competitive policy optimization.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Meta-Adaptive Nonlinear Control: Theory and Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Iterative Amortized Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DeepGEM: Generalized Expectation-Maximization for Blind Inversion.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

End-to-End Sequential Sampling and Reconstruction for MRI.
Proceedings of the Machine Learning for Health, 2021

Fine-Grained System Identification of Nonlinear Neural Circuits.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning by Turning: Neural Architecture Aware Optimisation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning to Make Decisions via Submodular Regularization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Task Programming: Learning Data Efficient Behavior Representations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Active Learning under Label Shift.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Minimax Model Learning.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Online Robust Control of Nonlinear Systems with Large Uncertainty.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Deep Bayesian Quadrature Policy Optimization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning With End-to-End Learning.
IEEE Robotics Autom. Lett., 2020

Task Programming: Learning Data Efficient Behavior Representations.
CoRR, 2020

On the Benefits of Early Fusion in Multimodal Representation Learning.
CoRR, 2020

Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version).
CoRR, 2020

Architecture Agnostic Neural Networks.
CoRR, 2020

Competitive Control with Delayed Imperfect Information.
CoRR, 2020

Distributionally Robust Learning for Unsupervised Domain Adaptation.
CoRR, 2020

Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions.
CoRR, 2020

Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries.
CoRR, 2020

A General Large Neighborhood Search Framework for Solving Integer Programs.
CoRR, 2020

Beyond No-Regret: Competitive Control via Online Optimization with Memory.
CoRR, 2020

Dueling Posterior Sampling for Preference-Based Reinforcement Learning.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

The Power of Predictions in Online Control.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A General Large Neighborhood Search Framework for Solving Integer Linear Programs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Optimization with Memory and Competitive Control.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Differentiable Programs with Admissible Neural Heuristics.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning compositional functions via multiplicative weight updates.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the distance between two neural networks and the stability of learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning for Safety-Critical Control with Control Barrier Functions.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Robust Regression for Safe Exploration in Control.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Preference-Based Learning for Exoskeleton Gait Optimization.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning Calibratable Policies using Programmatic Style-Consistency.
Proceedings of the 37th International Conference on Machine Learning, 2020

Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Triply Robust Off-Policy Evaluation.
CoRR, 2019

Dueling Posterior Sampling for Preference-Based Reinforcement Learning.
CoRR, 2019

Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning.
CoRR, 2019

Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems.
CoRR, 2019

Co-training for Policy Learning.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Imitation-Projected Programmatic Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

NAOMI: Non-Autoregressive Multiresolution Sequence Imputation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Teaching Multiple Concepts to a Forgetful Learner.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems<sup>*</sup>.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Neural Lander: Stable Drone Landing Control Using Learned Dynamics.
Proceedings of the International Conference on Robotics and Automation, 2019

An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Control Regularization for Reduced Variance Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Batch Policy Learning under Constraints.
Proceedings of the 36th International Conference on Machine Learning, 2019

Generating Multi-Agent Trajectories using Programmatic Weak Supervision.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Barrier Certificates for Assured Machine Teaching.
Proceedings of the 2019 American Control Conference, 2019

Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics.
ACM Trans. Comput. Hum. Interact., 2018

Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes.
CoRR, 2018

PhaseLink: A Deep Learning Approach to Seismic Phase Association.
CoRR, 2018

Teaching Multiple Concepts to Forgetful Learners.
CoRR, 2018

Learning to Search via Self-Imitation.
CoRR, 2018

Generative Multi-Agent Behavioral Cloning.
CoRR, 2018

Detecting Adversarial Examples via Neural Fingerprinting.
CoRR, 2018

Multi-resolution Tensor Learning for Large-Scale Spatial Data.
CoRR, 2018

A General Method for Amortizing Variational Filtering.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Advancements in Dueling Bandits.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Stagewise Safe Bayesian Optimization with Gaussian Processes.
Proceedings of the 35th International Conference on Machine Learning, 2018

Iterative Amortized Inference.
Proceedings of the 35th International Conference on Machine Learning, 2018

Hierarchical Imitation and Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

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

Teaching Categories to Human Learners With Visual Explanations.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Near-Optimal Machine Teaching via Explanatory Teaching Sets.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Safe Exploration and Optimization of Constrained MDPs Using Gaussian Processes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A deep learning approach for generalized speech animation.
ACM Trans. Graph., 2017

Long-term Forecasting using Tensor-Train RNNs.
CoRR, 2017

Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories.
CoRR, 2017

Generating Long-term Trajectories Using Deep Hierarchical Networks.
CoRR, 2017

Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces.
CoRR, 2017

Coordinated Multi-Agent Imitation Learning.
CoRR, 2017

Multi-dueling Bandits with Dependent Arms.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Coordinated Multi-Agent Imitation Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning Recurrent Representations for Hierarchical Behavior Modeling.
Proceedings of the 5th International Conference on Learning Representations, 2017

Factorized Variational Autoencoders for Modeling Audience Reactions to Movies.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Generating Long-term Trajectories Using Deep Hierarchical Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval.
Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

Smooth Imitation Learning for Online Sequence Prediction.
Proceedings of the 33nd International Conference on Machine Learning, 2016

A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Robust ambulance allocation using risk-based metrics.
Proceedings of the 8th International Conference on Communication Systems and Networks, 2016

2015
Non-Myopic Adaptive Route Planning in Uncertain Congestion Environments.
IEEE Trans. Knowl. Data Eng., 2015

Smooth Interactive Submodular Set Cover.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Decision Tree Framework for Spatiotemporal Sequence Prediction.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Personalized collaborative clustering.
Proceedings of the 23rd International World Wide Web Conference, 2014

Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization.
CoRR, 2013

Adaptive collective routing using gaussian process dynamic congestion models.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Learning Policies for Contextual Submodular Prediction.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Large-scale validation and analysis of interleaved search evaluation.
ACM Trans. Inf. Syst., 2012

The K-armed dueling bandits problem.
J. Comput. Syst. Sci., 2012

Hierarchical Exploration for Accelerating Contextual Bandits.
Proceedings of the 29th International Conference on Machine Learning, 2012

An Efficient Simulation-Based Approach to Ambulance Fleet Allocation and Dynamic Redeployment.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
New Learning Frameworks for Information Retrieval.
PhD thesis, 2011

Dynamic ranked retrieval.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Practical online retrieval evaluation.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Linear Submodular Bandits and their Application to Diversified Retrieval.
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

Beat the Mean Bandit.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Beyond position bias: examining result attractiveness as a source of presentation bias in clickthrough data.
Proceedings of the 19th International Conference on World Wide Web, 2010

Learning more powerful test statistics for click-based retrieval evaluation.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Multi-Level Structured Models for Document-Level Sentiment Classification.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

2009
Predicting structured objects with support vector machines.
Commun. ACM, 2009

Interactively optimizing information retrieval systems as a dueling bandits problem.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Predicting diverse subsets using structural SVMs.
Proceedings of the Machine Learning, 2008

2007
A support vector method for optimizing average precision.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007


  Loading...