Ilija Bogunovic

According to our database1, Ilija Bogunovic authored at least 40 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks.
CoRR, 2024

2023
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning.
Trans. Mach. Learn. Res., 2023

REDUCR: Robust Data Downsampling Using Class Priority Reweighting.
CoRR, 2023

Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration.
CoRR, 2023

Robust Best-arm Identification in Linear Bandits.
CoRR, 2023

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces.
CoRR, 2023

Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning.
CoRR, 2023

Near-optimal Policy Identification in Active Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Cost-Efficient Online Hyperparameter Optimization.
CoRR, 2021

DP-Sniper: Black-Box Discovery of Differential Privacy Violations using Classifiers.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Risk-averse Heteroscedastic Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Misspecified Gaussian Process Bandit Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems.
Proceedings of the 38th International Conference on Machine Learning, 2021

Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Stochastic Linear Bandits Robust to Adversarial Attacks.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Learning to Play Sequential Games versus Unknown Opponents.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Contextual Games: Multi-Agent Learning with Side Information.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mixed Strategies for Robust Optimization of Unknown Objectives.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Distributionally Robust Bayesian Optimization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Corruption-Tolerant Gaussian Process Bandit Optimization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Robust Adaptive Decision Making: Bayesian Optimization and Beyond.
PhD thesis, 2019

No-Regret Learning in Unknown Games with Correlated Payoffs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Overlapping Multi-Bandit Best Arm Identification.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Adversarially Robust Optimization with Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Robust Maximization of Non-Submodular Objectives.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Robust Submodular Maximization: A Non-Uniform Partitioning Approach.
Proceedings of the 34th International Conference on Machine Learning, 2017

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization.
Proceedings of the 30th Conference on Learning Theory, 2017

A distributed algorithm for partitioned robust submodular maximization.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Learning-Based Compressive Subsampling.
IEEE J. Sel. Top. Signal Process., 2016

An Efficient Streaming Algorithm for the Submodular Cover Problem.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Time-Varying Gaussian Process Bandit Optimization.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Active learning of self-concordant like multi-index functions.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Near-Optimally Teaching the Crowd to Classify.
Proceedings of the 31th International Conference on Machine Learning, 2014


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