Kim, Wonyoung

9 publications

AISTATS 2025 Learning the Pareto Front Using Bootstrapped Observation Samples Wonyoung Kim, Garud Iyengar, Assaf Zeevi

ICML 2025 Linear Bandits with Partially Observable Features Wonyoung Kim, Sungwoo Park, Garud Iyengar, Assaf Zeevi, Min-Hwan Oh

AISTATS 2024 A Doubly Robust Approach to Sparse Reinforcement Learning Wonyoung Kim, Garud Iyengar, Assaf Zeevi

AAAI 2023 Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits Wonyoung Kim, Kyungbok Lee, Myunghee Cho Paik

ICML 2023 Improved Algorithms for Multi-Period Multi-Class Packing Problems with Bandit Feedback Wonyoung Kim, Garud Iyengar, Assaf Zeevi

AISTATS 2023 Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits Wonyoung Kim, Myunghee Cho Paik, Min-Hwan Oh

NeurIPS 2021 Doubly Robust Thompson Sampling with Linear Payoffs Wonyoung Kim, Gi-Soo Kim, Myunghee Cho Paik

MLJ 2020 Principled Analytic Classifier for Positive-Unlabeled Learning via Weighted Integral Probability Metric Yongchan Kwon, Wonyoung Kim, Masashi Sugiyama, Myunghee Cho Paik

ICML 2020 Principled Learning Method for Wasserstein Distributionally Robust Optimization with Local Perturbations Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik