← Authors

Ilija Bogunovic

33 papers · 2014–2025 · 6 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (6) πŸƒ Academic Marathon (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) 🀝 Dynamic Duo (18) πŸ† Grand Slam πŸ”¬ Deep Specialist (10) πŸ’Ž Century Club (33) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (142) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10)

Conferences

NIPS (16) AISTATS (9) ICML (5) AAAI (1) COLT (1) ICLR (1)

Top co-authors

Andreas Krause (18) Volkan Cevher (9) Jonathan Scarlett (9) Pier Giuseppe Sessa (8) Maryam Kamgarpour (5) Shyam Sundhar Ramesh (3) Johannes Kirschner (3) Viraj Mehta (2) Yifan Hu (2) Slobodan Mitrovic (2)

Keywords

gaussian process (13) bayesian optimization (12) regret bound (11) online learning (6) robust optimization (6) kernel methods (6) multi-armed bandit (4) adversarial robustness (4) submodular optimization (4) greedy algorithm (4) cardinality constraint (3) approximation algorithm (3) combinatorial optimization (2) game theory (2) adversarial attack (2) reinforcement learning (2) submodular maximization (2) model-based reinforcement learning (2) reproducing kernel hilbert space (2) adversarial learning (2)

Papers

Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift ICML 2025
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks AAAI 2025
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024
Adversarially Robust Decision Transformer NIPS 2024
Group Robust Preference Optimization in Reward-free RLHF NIPS 2024
Sample-efficient Bayesian Optimisation Using Known Invariances NIPS 2024
REDUCR: Robust Data Downsampling using Class Priority Reweighting NIPS 2024
Near-optimal Policy Identification in Active Reinforcement Learning ICLR 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning AISTATS 2023
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits NIPS 2022
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems NIPS 2022
Graph Neural Network Bandits NIPS 2022
Misspecified Gaussian Process Bandit Optimization NIPS 2021
Risk-averse Heteroscedastic Bayesian Optimization NIPS 2021
Stochastic Linear Bandits Robust to Adversarial Attacks AISTATS 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems ICML 2021
Contextual Games: Multi-Agent Learning with Side Information NIPS 2020
Mixed Strategies for Robust Optimization of Unknown Objectives AISTATS 2020
Corruption-Tolerant Gaussian Process Bandit Optimization AISTATS 2020
Distributionally Robust Bayesian Optimization AISTATS 2020
Learning to Play Sequential Games versus Unknown Opponents NIPS 2020
No-Regret Learning in Unknown Games with Correlated Payoffs NIPS 2019
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups AISTATS 2018
Robust Maximization of Non-Submodular Objectives AISTATS 2018
Adversarially Robust Optimization with Gaussian Processes NIPS 2018
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach NIPS 2017
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization COLT 2017
Robust Submodular Maximization: A Non-Uniform Partitioning Approach ICML 2017
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation NIPS 2016
An Efficient Streaming Algorithm for the Submodular Cover Problem NIPS 2016
Time-Varying Gaussian Process Bandit Optimization AISTATS 2016
Near-Optimally Teaching the Crowd to Classify ICML 2014