Near-Optimally Teaching the Crowd to Classify. - Adish Singla; Ilija Bogunovic; Gábor Bartók; Amin Karbasi; Andreas Krause 001 (ICML, 2014)

Active learning of self-concordant like multi-index functions. - Ilija Bogunovic; Volkan Cevher; Jarvis D. Haupt; Jonathan Scarlett (ICASSP, 2015)

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

Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation. - Ilija Bogunovic; Jonathan Scarlett; Andreas Krause 001; Volkan Cevher (NIPS, 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 (NIPS, 2016)

Learning-Based Compressive Subsampling. - Luca Baldassarre; Yen-Huan Li; Jonathan Scarlett; Baran Gozcu; Ilija Bogunovic; Volkan Cevher (IEEE J. Sel. Top. Signal Process., 2016)

A distributed algorithm for partitioned robust submodular maximization. - Ilija Bogunovic; Slobodan Mitrovic; Jonathan Scarlett; Volkan Cevher (CAMSAP, 2017)

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization. - Jonathan Scarlett; Ilija Bogunovic; Volkan Cevher (COLT, 2017)

Robust Submodular Maximization: A Non-Uniform Partitioning Approach. - Ilija Bogunovic; Slobodan Mitrovic; Jonathan Scarlett; Volkan Cevher (ICML, 2017)

Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. - Slobodan Mitrovic; Ilija Bogunovic; Ashkan Norouzi-Fard; Jakub Tarnawski; Volkan Cevher (NIPS, 2017)

Robust Maximization of Non-Submodular Objectives. - Ilija Bogunovic; Junyao Zhao 001; Volkan Cevher (AISTATS, 2018)

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

Adversarially Robust Optimization with Gaussian Processes. - Ilija Bogunovic; Jonathan Scarlett; Stefanie Jegelka; Volkan Cevher (NeurIPS, 2018)

Overlapping Multi-Bandit Best Arm Identification. - Jonathan Scarlett; Ilija Bogunovic; Volkan Cevher (ISIT, 2019)

No-Regret Learning in Unknown Games with Correlated Payoffs. - Pier Giuseppe Sessa; Ilija Bogunovic; Maryam Kamgarpour; Andreas Krause 001 (NeurIPS, 2019)

Robust Adaptive Decision Making: Bayesian Optimization and Beyond. - Ilija Bogunovic (2019)

Corruption-Tolerant Gaussian Process Bandit Optimization. - Ilija Bogunovic; Andreas Krause 001; Jonathan Scarlett (AISTATS, 2020)

Distributionally Robust Bayesian Optimization. - Johannes Kirschner; Ilija Bogunovic; Stefanie Jegelka; Andreas Krause 001 (AISTATS, 2020)

Mixed Strategies for Robust Optimization of Unknown Objectives. - Pier Giuseppe Sessa; Ilija Bogunovic; Maryam Kamgarpour; Andreas Krause 001 (AISTATS, 2020)

Contextual Games: Multi-Agent Learning with Side Information. - Pier Giuseppe Sessa; Ilija Bogunovic; Andreas Krause 001; Maryam Kamgarpour (NeurIPS, 2020)

Learning to Play Sequential Games versus Unknown Opponents. - Pier Giuseppe Sessa; Ilija Bogunovic; Maryam Kamgarpour; Andreas Krause 001 (NeurIPS, 2020)

Stochastic Linear Bandits Robust to Adversarial Attacks. - Ilija Bogunovic; Arpan Losalka; Andreas Krause 001; Jonathan Scarlett (AISTATS, 2021)

Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning. - Sebastian Curi; Ilija Bogunovic; Andreas Krause 001 (ICML, 2021)

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. - Pier Giuseppe Sessa; Ilija Bogunovic; Andreas Krause 001; Maryam Kamgarpour (ICML, 2021)

Misspecified Gaussian Process Bandit Optimization. - Ilija Bogunovic; Andreas Krause 001 (NeurIPS, 2021)

Risk-averse Heteroscedastic Bayesian Optimization. - Anastasia Makarova; Ilnura Usmanova; Ilija Bogunovic; Andreas Krause 001 (NeurIPS, 2021)

DP-Sniper: Black-Box Discovery of Differential Privacy Violations using Classifiers. - Benjamin Bichsel; Samuel Steffen; Ilija Bogunovic; Martin T. Vechev (SP, 2021)

Cost-Efficient Online Hyperparameter Optimization. - Jingkang Wang; Mengye Ren; Ilija Bogunovic; Yuwen Xiong; Raquel Urtasun (CoRR, 2021)

A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits. - Ilija Bogunovic; Zihan Li; Andreas Krause 001; Jonathan Scarlett (NeurIPS, 2022)

Graph Neural Network Bandits. - Parnian Kassraie; Andreas Krause 001; Ilija Bogunovic (NeurIPS, 2022)

Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. - Shyam Sundhar Ramesh; Pier Giuseppe Sessa; Andreas Krause 001; Ilija Bogunovic (NeurIPS, 2022)

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 (AISTATS, 2023)

Near-optimal Policy Identification in Active Reinforcement Learning. - Xiang Li; Viraj Mehta; Johannes Kirschner; Ian Char; Willie Neiswanger; Jeff Schneider 001; Andreas Krause 001; Ilija Bogunovic (ICLR, 2023)

Robust Best-arm Identification in Linear Bandits. - Wei Wang; Sattar Vakili; Ilija Bogunovic (CoRR, 2023)

Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration. - Viraj Mehta; Vikramjeet Das; Ojash Neopane; Yijia Dai; Ilija Bogunovic; Jeff G. Schneider; Willie Neiswanger (CoRR, 2023)

Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. - Barna Pásztor; Andreas Krause 001; Ilija Bogunovic (Trans. Mach. Learn. Res., 2023)

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. - Shyam Sundhar Ramesh; Pier Giuseppe Sessa; Yifan Hu; Andreas Krause 001; Ilija Bogunovic (AISTATS, 2024)

Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. - Matej Jusup; Barna Pásztor; Tadeusz Janik; Kenan Zhang; Francesco Corman; Andreas Krause 001; Ilija Bogunovic (AAMAS, 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 (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)

Adversarially Robust Decision Transformer. - Xiaohang Tang; Afonso Marques; Parameswaran Kamalaruban; Ilija Bogunovic (NeurIPS, 2024)

Adversarial Robust Decision Transformer: Enhancing Robustness of RvS via Minimax Returns-to-go. - Xiaohang Tang; Afonso Marques; Parameswaran Kamalaruban; Ilija Bogunovic (CoRR, 2024)

Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift. - Seongho Son; William Bankes; Sayak Ray Chowdhury; Brooks Paige; Ilija Bogunovic (CoRR, 2024)

Sample-Efficient Regret-Minimizing Double Oracle in Extensive-Form Games. - Xiaohang Tang; Chiyuan Wang; Chengdong Ma; Ilija Bogunovic; Stephen McAleer; Yaodong Yang 001 (CoRR, 2024)

PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. - Chen Feng; Ziquan Liu; Zhuo Zhi; Ilija Bogunovic; Carsten Gerner-Beuerle; Miguel Rodrigues 001 (AAAI, 2025)

Synthetic Data is Sufficient for Zero-Shot Visual Generalization from Offline Data. - Ahmet Hamdi Güzel; Ilija Bogunovic; Jack Parker-Holder (Trans. Mach. Learn. Res., 2025)

No-Regret Linear Bandits under Gap-Adjusted Misspecification. - Chong Liu 007; Dan Qiao; Ming Yin; Ilija Bogunovic; Yu-Xiang Wang (CoRR, 2025)

Almost Surely Safe Alignment of Large Language Models at Inference-Time. - Xiaotong Ji; Shyam Sundhar Ramesh; Matthieu Zimmer; Ilija Bogunovic; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2025)

Mean-Field Bayesian Optimisation. - Petar Steinberg; Juliusz Ziomek; Matej Jusup; Ilija Bogunovic (CoRR, 2025)

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

This Is Your Doge, If It Please You: Exploring Deception and Robustness in Mixture of LLMs. - Lorenz Wolf; Sangwoong Yoon; Ilija Bogunovic (CoRR, 2025)

Robust Multi-Objective Controlled Decoding of Large Language Models. - Seongho Son; William Bankes; Sangwoong Yoon; Shyam Sundhar Ramesh; Xiaohang Tang; Ilija Bogunovic (CoRR, 2025)

wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models. - Xiaohang Tang; Rares Dolga; Sangwoong Yoon; Ilija Bogunovic (CoRR, 2025)