Bogunovic, Ilija

45 publications

ICLRW 2025 Game-Theoretic Regularized Self-Play Alignment of Large Language Models Xiaohang Tang, Sangwoong Yoon, Seongho Son, Huizhuo Yuan, Quanquan Gu, Ilija Bogunovic

NeurIPS 2025 Imagined Autocurricula Ahmet H. Güzel, Matthew Thomas Jackson, Jarek Luca Liesen, Tim Rocktäschel, Jakob Nicolaus Foerster, Ilija Bogunovic, Jack Parker-Holder

AAAI 2025 PROSAC: Provably Safe Certification for Machine Learning Models Under Adversarial Attacks Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues

ICML 2025 Right Now, Wrong Then: Non-Stationary Direct Preference Optimization Under Preference Drift Seongho Son, William Bankes, Sayak Ray Chowdhury, Brooks Paige, Ilija Bogunovic

TMLR 2025 Synthetic Data Is Sufficient for Zero-Shot Visual Generalization from Offline Data Ahmet H. Güzel, Ilija Bogunovic, Jack Parker-Holder

NeurIPS 2024 Adversarially Robust Decision Transformer Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban, Ilija Bogunovic

AISTATS 2024 Distributionally Robust Model-Based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic

NeurIPSW 2024 Efficient Local Unlearning for Gaussian Processes with Out-of-Distribution Data Juliusz Ziomek, Ilija Bogunovic

NeurIPSW 2024 Group Robust Best-of-K Decoding of Language Models for Pluralistic Alignment Sangwoong Yoon, William Bankes, Seongho Son, Anja Petrovic, Shyam Sundhar Ramesh, Xiaohang Tang, Ilija Bogunovic

NeurIPS 2024 Group Robust Preference Optimization in Reward-Free RLHF Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas, Viraj Mehta, Pier Giuseppe Sessa, Haitham Bou Ammar, Ilija Bogunovic

NeurIPS 2024 REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes, George Hughes, Ilija Bogunovic, Zi Wang

NeurIPS 2024 Sample-Efficient Bayesian Optimisation Using Known Invariances Theodore Brown, Alexandru Cioba, Ilija Bogunovic

NeurIPSW 2023 Distributionally Robust Model-Based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic

TMLR 2023 Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor, Andreas Krause, Ilija Bogunovic

AISTATS 2023 Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning Volodymyr Tkachuk, Seyed Alireza Bakhtiari, Johannes Kirschner, Matej Jusup, Ilija Bogunovic, Csaba Szepesvári

NeurIPSW 2023 Graph Neural Bayesian Optimization for Virtual Screening Miles Wang-Henderson, Bartu Soyuer, Parnian Kassraie, Andreas Krause, Ilija Bogunovic

NeurIPSW 2023 Graph Neural Bayesian Optimization for Virtual Screening Miles Wang-Henderson, Bartu Soyuer, Parnian Kassraie, Andreas Krause, Ilija Bogunovic

ICMLW 2023 Graph Neural Network Powered Bayesian Optimization for Large Molecular Spaces Miles Wang-Henderson, Bartu Soyuer, Parnian Kassraie, Andreas Krause, Ilija Bogunovic

ICLR 2023 Near-Optimal Policy Identification in Active Reinforcement Learning Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic

NeurIPSW 2023 PROSAC: Provably Safe Certification for Machine Learning Models Under Adversarial Attacks Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues

NeurIPSW 2023 REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes, George Hughes, Ilija Bogunovic, Zi Wang

NeurIPS 2022 A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits Ilija Bogunovic, Zihan Li, Andreas Krause, Jonathan Scarlett

NeurIPS 2022 Graph Neural Network Bandits Parnian Kassraie, Andreas Krause, Ilija Bogunovic

NeurIPS 2022 Movement Penalized Bayesian Optimization with Application to Wind Energy Systems Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic

AISTATS 2021 Stochastic Linear Bandits Robust to Adversarial Attacks Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett

ICML 2021 Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning Sebastian Curi, Ilija Bogunovic, Andreas Krause

NeurIPS 2021 Misspecified Gaussian Process Bandit Optimization Ilija Bogunovic, Andreas Krause

ICML 2021 Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour

NeurIPS 2021 Risk-Averse Heteroscedastic Bayesian Optimization Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause

NeurIPS 2020 Contextual Games: Multi-Agent Learning with Side Information Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour

AISTATS 2020 Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic, Andreas Krause, Jonathan Scarlett

AISTATS 2020 Distributionally Robust Bayesian Optimization Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause

NeurIPS 2020 Learning to Play Sequential Games Versus Unknown Opponents Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause

AISTATS 2020 Mixed Strategies for Robust Optimization of Unknown Objectives Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause

NeurIPS 2019 No-Regret Learning in Unknown Games with Correlated Payoffs Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause

NeurIPS 2018 Adversarially Robust Optimization with Gaussian Processes Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka, Volkan Cevher

AISTATS 2018 High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher

AISTATS 2018 Robust Maximization of Non-Submodular Objectives Ilija Bogunovic, Junyao Zhao, Volkan Cevher

COLT 2017 Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher

ICML 2017 Robust Submodular Maximization: A Non-Uniform Partitioning Approach Ilija Bogunovic, Slobodan Mitrović, Jonathan Scarlett, Volkan Cevher

NeurIPS 2017 Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub M Tarnawski, Volkan Cevher

NeurIPS 2016 An Efficient Streaming Algorithm for the Submodular Cover Problem Ashkan Norouzi-Fard, Abbas Bazzi, Ilija Bogunovic, Marwa El Halabi, Ya-Ping Hsieh, Volkan Cevher

AISTATS 2016 Time-Varying Gaussian Process Bandit Optimization Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher

NeurIPS 2016 Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation Ilija Bogunovic, Jonathan Scarlett, Andreas Krause, Volkan Cevher

ICML 2014 Near-Optimally Teaching the Crowd to Classify Adish Singla, Ilija Bogunovic, Gabor Bartok, Amin Karbasi, Andreas Krause