| 2025 | AAAI | PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. | Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues |
| 2025 | ICML | Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift. | Seongho Son, William Bankes, Sayak Ray Chowdhury, Brooks Paige, Ilija Bogunovic |
| 2024 | AISTATS | Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. | Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic |
| 2023 | AISTATS | 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 Szepesvri |
| 2023 | ICLR | Near-optimal Policy Identification in Active Reinforcement Learning. | Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic |
| 2021 | AISTATS | Stochastic Linear Bandits Robust to Adversarial Attacks. | Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett |
| 2021 | ICML | Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning. | Sebastian Curi, Ilija Bogunovic, Andreas Krause |
| 2021 | ICML | Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. | Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour |
| 2021 | SP | DP-Sniper: Black-Box Discovery of Differential Privacy Violations using Classifiers. | Benjamin Bichsel, Samuel Steffen, Ilija Bogunovic, Martin T. Vechev |
| 2020 | AISTATS | Corruption-Tolerant Gaussian Process Bandit Optimization. | Ilija Bogunovic, Andreas Krause, Jonathan Scarlett |
| 2020 | AISTATS | Distributionally Robust Bayesian Optimization. | Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause |
| 2020 | AISTATS | Mixed Strategies for Robust Optimization of Unknown Objectives. | Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause |
| 2019 | ISIT | Overlapping Multi-Bandit Best Arm Identification. | Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher |
| 2018 | AISTATS | Robust Maximization of Non-Submodular Objectives. | Ilija Bogunovic, Junyao Zhao, Volkan Cevher |
| 2018 | AISTATS | High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. | Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher |
| 2017 | COLT | Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization. | Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher |
| 2017 | ICML | Robust Submodular Maximization: A Non-Uniform Partitioning Approach. | Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher |
| 2016 | AISTATS | Time-Varying Gaussian Process Bandit Optimization. | Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher |
| 2015 | ICASSP | Active learning of self-concordant like multi-index functions. | Ilija Bogunovic, Volkan Cevher, Jarvis D. Haupt, Jonathan Scarlett |
| 2014 | ICML | Near-Optimally Teaching the Crowd to Classify. | Adish Singla, Ilija Bogunovic, Gbor Bartk, Amin Karbasi, Andreas Krause |