Adversarial Robust Decision Transformer: Enhancing Robustness of RvS via Minimax Returns-to-go
Conference on Neural Information Processing Systems (NeurIPS), 2024
Group Robust Preference Optimization in Reward-free RLHF
Conference on Neural Information Processing Systems (NeurIPS), 2024
REDUCR: Robust Data Downsampling Using Class Priority Reweighting
Conference on Neural Information Processing Systems (NeurIPS), 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning
International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Near-optimal Policy Identification in Active Reinforcement Learning
(Notable-top-5%) International Conference on Learning Representations (ICLR), 2023
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems
Conference on Neural Information Processing Systems (NeurIPS), 2022
Graph Neural Network Bandits
Conference on Neural Information Processing Systems (NeurIPS), 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
Conference on Neural Information Processing Systems (NeurIPS), 2022
Misspecified Gaussian Process Bandit Optimization
Conference on Neural Information Processing Systems (NeurIPS), 2021
Risk-averse Heteroscedastic Bayesian Optimization
Conference on Neural Information Processing Systems (NeurIPS), 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
arXiv preprint arXiv:2107.04050
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
International Conference on Machine Learning (ICML), 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
International Conference on Machine Learning (ICML), 2021
DP-Sniper: Black-Box Discovery of Differential Privacy Violations using Classifiers
IEEE Symposium on Security and Privacy, 2021
Stochastic Linear Bandits Robust to Adversarial Attacks
Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Learning to Play Sequential Games versus Unknown Opponents
Conference on Neural Information Processing Systems (NeurIPS), 2020
Contextual Games: Multi-Agent Learning with Side Information
Conference on Neural Information Processing Systems (NeurIPS), 2020
Corruption-Tolerant Gaussian Process Bandit Optimization
Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Mixed Strategies for Robust Optimization of Unknown Objectives
Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Distributionally Robust Bayesian Optimization
Conference on Artificial Intelligence and Statistics (AISTATS), 2020
No-Regret Learning in Unknown Games with Correlated Payoffs
Conference on Neural Information Processing Systems (NeurIPS), Vancouver, 2019
Overlapping Multi-Bandit Best Arm Identification
IEEE International Symposium on Information Theory (ISIT), Paris, 2019
Robust Adaptive Decision Making: Bayesian Optimization and Beyond
PhD Thesis, EPFL Lausanne
Adversarially Robust Optimization with Gaussian Processes
(Spotlight) Conference on Neural Information Processing Systems (NeurIPS), Montreal, 2018
Robust Maximization of Non-Submodular Objectives
Conference on Artificial Intelligence and Statistics (AISTATS), Lanzarote, Canary Islands, 2018
High Dimensional Bayesian Optimization via Additive Models with Overlapping Groups
Conference on Artificial Intelligence and Statistics (AISTATS), Lanzarote, Canary Islands, 2018
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach
Conference on Neural Information Processing Systems (NIPS), Long Beach, 2017
A Distributed Algorithm for Partitioned Robust Submodular Maximization
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curacao, 2017
Robust Submodular Maximization: A Non-Uniform Partitioning Approach
International Conference on Machine Learning (ICML), Sydney, 2017
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization
Conference on Learning Theory (COLT), Amsterdam, 2017
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Conference on Neural Information Processing Systems (NeurIPS), Barcelona, 2016
An Efficient Streaming Algorithm for the Submodular Cover Problem
Conference on Neural Information Processing Systems (NIPS), Barcelona, 2016
Time-Varying Gaussian Process Bandit Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, 2016
Learning-Based Compressive Subsampling
IEEE Journal on Selected Topics in Signal Processing, 2017
Active Learning of Self-concordant like Multi-index Functions
International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, 2015
Near-Optimally Teaching the Crowd to Classify
International Conference on Machine Learning (ICML), Beijing, 2014
