Ilija Bogunovic

发表

Robust Submodular Maximization: A Non-Uniform Partitioning Approach

Volkan Cevher, Jonathan Scarlett, Slobodan Mitrovic, 2017, ICML.

Learning-Based Compressive Subsampling

Volkan Cevher, Luca Baldassarre, Baran Gözcü, 2015, IEEE Journal of Selected Topics in Signal Processing.

No-Regret Learning in Unknown Games with Correlated Payoffs

Andreas Krause, Maryam Kamgarpour, Pier Giuseppe Sessa, 2019, NeurIPS.

Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning pdf

Andreas Krause, Ilija Bogunovic, Barna Pasztor, 2021, ArXiv.

Graph Neural Network Bandits

A. Krause, Ilija Bogunovic, Parnian Kassraie, 2022, ArXiv.

No-Regret Learning in Unknown Games with Correlated Payoffs

Pier Giuseppe Sessa, Andreas Krause, M. Kamgarpour, 2019, NeurIPS.

Graph Neural Network Bandits

A. Krause, Ilija Bogunovic, Parnian Kassraie, 2022, NeurIPS.

Stochastic Linear Bandits Robust to Adversarial Attacks pdf

Andreas Krause, Jonathan Scarlett, Ilija Bogunovic, 2020, AISTATS.

Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning

A. Krause, Ilija Bogunovic, Sebastian Curi, 2021, ICML.

An Efficient Streaming Algorithm for the Submodular Cover Problem

Volkan Cevher, Abbas Bazzi, Ya-Ping Hsieh, 2016, NIPS.

Corruption-Tolerant Gaussian Process Bandit Optimization pdf

Andreas Krause, Jonathan Scarlett, Ilija Bogunovic, 2020, AISTATS.

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups pdf

Volkan Cevher, Paul Rolland, Jonathan Scarlett, 2018, AISTATS.

Robust Adaptive Decision Making: Bayesian Optimization and Beyond

Ilija Bogunovic, Ilija Bogunovic, 2019 .

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization pdf

Volkan Cevher, Jonathan Scarlett, Ilija Bogunovic, 2017, COLT.

DP-Sniper: Black-Box Discovery of Differential Privacy Violations using Classifiers

Martin T. Vechev, Ilija Bogunovic, Benjamin Bichsel, 2021, 2021 IEEE Symposium on Security and Privacy (SP).

Near-Optimally Teaching the Crowd to Classify pdf

Andreas Krause, Amin Karbasi, Adish Singla, 2014, ICML.

Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation

Andreas Krause, Volkan Cevher, Jonathan Scarlett, 2016, NIPS.

Distributionally Robust Bayesian Optimization

A. Krause, S. Jegelka, Ilija Bogunovic, 2020, AISTATS.

Adversarially Robust Optimization with Gaussian Processes

Volkan Cevher, Stefanie Jegelka, Jonathan Scarlett, 2018, NeurIPS.

Robust Maximization of Non-Submodular Objectives

Volkan Cevher, Ilija Bogunovic, Junyao Zhao, 2018, AISTATS.

Misspecified Gaussian Process Bandit Optimization pdf

Andreas Krause, Ilija Bogunovic, A. Krause, 2021, NeurIPS.

Risk-averse Heteroscedastic Bayesian Optimization pdf

Andreas Krause, Ilija Bogunovic, Ilnura Usmanova, 2021, NeurIPS.

Near-optimal Policy Identification in Active Reinforcement Learning

Xiang Li, Willie Neiswanger, J. Schneider, 2022, ICLR.

Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning

Andreas Krause, Ilija Bogunovic, Barna Pasztor, 2021, Trans. Mach. Learn. Res..

Learning to Play Sequential Games versus Unknown Opponents pdf

Maryam Kamgarpour, Pier Giuseppe Sessa, Andreas Krause, 2020, NeurIPS.

Contextual Games: Multi-Agent Learning with Side Information

Maryam Kamgarpour, Pier Giuseppe Sessa, Andreas Krause, 2021, NeurIPS.

On Actively Teaching the Crowd to Classify

Amin Karbasi, Adish Singla, Andreas Krause, 2013, NIPS 2013.

Time-Varying Gaussian Process Bandit Optimization pdf

Volkan Cevher, Jonathan Scarlett, Ilija Bogunovic, 2016, AISTATS.

Mixed Strategies for Robust Optimization of Unknown Objectives

Maryam Kamgarpour, Pier Giuseppe Sessa, Andreas Krause, 2020, AISTATS.

Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach

Volkan Cevher, Slobodan Mitrovic, Ashkan Norouzi-Fard, 2017, NIPS.

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups

V. Cevher, Ilija Bogunovic, J. Scarlett, 2018, AISTATS.

Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning

A. Krause, Kecheng Zhang, Ilija Bogunovic, 2023, ArXiv.

Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning

Csaba Szepesvari, Ilija Bogunovic, Johannes Kirschner, 2023, AISTATS.

A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits

A. Krause, Ilija Bogunovic, J. Scarlett, 2022, NeurIPS.

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces

Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic, 2023, AISTATS.

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems

Maryam Kamgarpour, Pier Giuseppe Sessa, Ilija Bogunovic, 2021, ICML.

Distributionally Robust Bayesian Optimization

A. Krause, S. Jegelka, Ilija Bogunovic, 2020, AISTATS.

Stochastic Linear Bandits Robust to Adversarial Attacks

A. Krause, Ilija Bogunovic, J. Scarlett, 2020, AISTATS.