Ilija Bogunovic

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 67

Top Topics

Reinforcement Learning

Top Venues

Publications

Seongho Son, William Bankes, Sayak Ray Chowdhury, Brooks Paige, Ilija Bogunovic
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift. CoRR (2024)
Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas, Viraj Mehta, Pier Giuseppe Sessa, Haitham Bou-Ammar, Ilija Bogunovic
Group Robust Preference Optimization in Reward-free RLHF. CoRR (2024)
Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban, Ilija Bogunovic
Adversarial Robust Decision Transformer: Enhancing Robustness of RvS via Minimax Returns-to-go. CoRR (2024)
Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. CoRR (2024)
Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. AISTATS (2024)
Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. AAMAS (2024)
Wei Wang, Sattar Vakili, Ilija Bogunovic
Robust Best-arm Identification in Linear Bandits. CoRR (2023)
Volodymyr Tkachuk, Seyed Alireza Bakhtiari, Johannes Kirschner, Matej Jusup, Ilija Bogunovic, Csaba Szepesvári
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning. AISTATS (2023)
Barna Pásztor, Andreas Krause, Ilija Bogunovic
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Volodymyr Tkachuk, Seyed Alireza Bakhtiari, Johannes Kirschner, Matej Jusup, Ilija Bogunovic, Csaba Szepesvári
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning. CoRR (2023)
William Bankes, George Hughes, Ilija Bogunovic, Zi Wang
REDUCR: Robust Data Downsampling Using Class Priority Reweighting. CoRR (2023)
Viraj Mehta, Vikramjeet Das, Ojash Neopane, Yijia Dai, Ilija Bogunovic, Jeff G. Schneider, Willie Neiswanger
Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration. CoRR (2023)
Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
Near-optimal Policy Identification in Active Reinforcement Learning. ICLR (2023)
Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. CoRR (2023)
Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. CoRR (2023)
Parnian Kassraie, Andreas Krause, Ilija Bogunovic
Graph Neural Network Bandits. CoRR (2022)
Ilija Bogunovic, Zihan Li, Andreas Krause, Jonathan Scarlett
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits. CoRR (2022)
Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. CoRR (2022)
Ilija Bogunovic, Zihan Li, Andreas Krause, Jonathan Scarlett
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits. NeurIPS (2022)
Parnian Kassraie, Andreas Krause, Ilija Bogunovic
Graph Neural Network Bandits. NeurIPS (2022)
Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
Near-optimal Policy Identification in Active Reinforcement Learning. CoRR (2022)
Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. NeurIPS (2022)
Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause
Risk-averse Heteroscedastic Bayesian Optimization. NeurIPS (2021)
Ilija Bogunovic, Andreas Krause
Misspecified Gaussian Process Bandit Optimization. NeurIPS (2021)
Sebastian Curi, Ilija Bogunovic, Andreas Krause
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning. ICML (2021)
Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun
Cost-Efficient Online Hyperparameter Optimization. CoRR (2021)
Ilija Bogunovic, Andreas Krause
Misspecified Gaussian Process Bandit Optimization. CoRR (2021)
Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. ICML (2021)
Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett
Stochastic Linear Bandits Robust to Adversarial Attacks. AISTATS (2021)
Sebastian Curi, Ilija Bogunovic, Andreas Krause
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning. CoRR (2021)
Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
Contextual Games: Multi-Agent Learning with Side Information. CoRR (2021)
Benjamin Bichsel, Samuel Steffen, Ilija Bogunovic, Martin T. Vechev
DP-Sniper: Black-Box Discovery of Differential Privacy Violations using Classifiers. IEEE Symposium on Security and Privacy (2021)
Barna Pásztor, Ilija Bogunovic, Andreas Krause
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. CoRR (2021)
Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause
Risk-averse Heteroscedastic Bayesian Optimization. CoRR (2021)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
Learning to Play Sequential Games versus Unknown Opponents. NeurIPS (2020)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
Mixed Strategies for Robust Optimization of Unknown Objectives. AISTATS (2020)
Ilija Bogunovic, Andreas Krause, Jonathan Scarlett
Corruption-Tolerant Gaussian Process Bandit Optimization. AISTATS (2020)
Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
Contextual Games: Multi-Agent Learning with Side Information. NeurIPS (2020)
Ilija Bogunovic, Andreas Krause, Jonathan Scarlett
Corruption-Tolerant Gaussian Process Bandit Optimization. CoRR (2020)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
Learning to Play Sequential Games versus Unknown Opponents. CoRR (2020)
Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett
Stochastic Linear Bandits Robust to Adversarial Attacks. CoRR (2020)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
Mixed Strategies for Robust Optimization of Unknown Objectives. CoRR (2020)
Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause
Distributionally Robust Bayesian Optimization. CoRR (2020)
Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause
Distributionally Robust Bayesian Optimization. AISTATS (2020)
Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
Overlapping Multi-Bandit Best Arm Identification. ISIT (2019)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
No-Regret Learning in Unknown Games with Correlated Payoffs. NeurIPS (2019)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
No-Regret Learning in Unknown Games with Correlated Payoffs. CoRR (2019)
Ilija Bogunovic, Junyao Zhao, Volkan Cevher
Robust Maximization of Non-Submodular Objectives. AISTATS (2018)
Ilija Bogunovic, Junyao Zhao, Volkan Cevher
Robust Maximization of Non-Submodular Objectives. CoRR (2018)
Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. CoRR (2018)
Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka, Volkan Cevher
Adversarially Robust Optimization with Gaussian Processes. NeurIPS (2018)
Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. AISTATS (2018)
Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka, Volkan Cevher
Adversarially Robust Optimization with Gaussian Processes. CoRR (2018)
Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. CoRR (2017)
Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher
A distributed algorithm for partitioned robust submodular maximization. CAMSAP (2017)
Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher
Robust Submodular Maximization: A Non-Uniform Partitioning Approach. ICML (2017)
Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization. CoRR (2017)
Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization. COLT (2017)
Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher
Robust Submodular Maximization: A Non-Uniform Partitioning Approach. CoRR (2017)
Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. NIPS (2017)
Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher
Time-Varying Gaussian Process Bandit Optimization. AISTATS (2016)
Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher
Time-Varying Gaussian Process Bandit Optimization. CoRR (2016)
Ilija Bogunovic, Jonathan Scarlett, Andreas Krause, Volkan Cevher
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation. NIPS (2016)
Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gozcu, Ilija Bogunovic, Volkan Cevher
Learning-Based Compressive Subsampling. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Ilija Bogunovic, Jonathan Scarlett, Andreas Krause, Volkan Cevher
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation. CoRR (2016)
Ashkan Norouzi-Fard, Abbas Bazzi, Ilija Bogunovic, Marwa El Halabi, Ya-Ping Hsieh, Volkan Cevher
An Efficient Streaming Algorithm for the Submodular Cover Problem. NIPS (2016)
Ashkan Norouzi-Fard, Abbas Bazzi, Marwa El Halabi, Ilija Bogunovic, Ya-Ping Hsieh, Volkan Cevher
An Efficient Streaming Algorithm for the Submodular Cover Problem. CoRR (2016)
Ilija Bogunovic, Volkan Cevher, Jarvis D. Haupt, Jonathan Scarlett
Active learning of self-concordant like multi-index functions. ICASSP (2015)
Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher
Learning-based Compressive Subsampling. CoRR (2015)
Adish Singla, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, Andreas Krause
Near-Optimally Teaching the Crowd to Classify. ICML (2014)
Adish Singla, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, Andreas Krause
Near-Optimally Teaching the Crowd to Classify. CoRR (2014)