Ilija Bogunovic
33 papers · 2014–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Conference Polyglot (6)
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Hot Topic Early Bird
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Cross-Pollinator
(13)
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Renaissance Researcher
(6)
π€
Dynamic Duo
(18)
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Grand Slam
π¬
Deep Specialist
(10)
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Century Club
(33)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(142)
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Trend Setter
π₯
Unstoppable
(10)
Conferences
NIPS (16)
AISTATS (9)
ICML (5)
AAAI (1)
COLT (1)
ICLR (1)
Top co-authors
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