| 2025 | AISTATS | Learning the Pareto Front Using Bootstrapped Observation Samples. | Wonyoung Kim, Garud Iyengar, Assaf Zeevi |
| 2025 | ICML | Linear Bandits with Partially Observable Features. | Wonyoung Kim, Sungwoo Park, Garud Iyengar, Assaf Zeevi, Min-hwan Oh |
| 2024 | AISTATS | A Doubly Robust Approach to Sparse Reinforcement Learning. | Wonyoung Kim, Garud Iyengar, Assaf Zeevi |
| 2023 | AAAI | Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits. | Wonyoung Kim, Kyungbok Lee, Myunghee Cho Paik |
| 2023 | AISTATS | Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits. | Wonyoung Kim, Myunghee Cho Paik, Min-hwan Oh |
| 2023 | ICML | Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback. | Wonyoung Kim, Garud Iyengar, Assaf Zeevi |
| 2020 | ICML | Principled learning method for Wasserstein distributionally robust optimization with local perturbations. | Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik |
| 2010 | MICRO | Voltage Smoothing: Characterizing and Mitigating Voltage Noise in Production Processors via Software-Guided Thread Scheduling. | Vijay Janapa Reddi, Svilen Kanev, Wonyoung Kim, Simone Campanoni, Michael D. Smith, Gu-Yeon Wei, David M. Brooks |
| 2008 | HPCA | System level analysis of fast, per-core DVFS using on-chip switching regulators. | Wonyoung Kim, Meeta Sharma Gupta, Gu-Yeon Wei, David M. Brooks |