ML Anthology

Liu, Junyan

7 publications

NeurIPS 2025 Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality Junyan Liu, Ziyun Chen, Kun Wang, Haipeng Luo, Lillian J. Ratliff
ICML 2025 Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals Junyan Liu, Arnab Maiti, Artin Tajdini, Kevin Jamieson, Lillian J. Ratliff
ICML 2025 Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents Junyan Liu, Lillian J. Ratliff
NeurIPS 2024 Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning Junyan Liu, Yunfan Li, Ruosong Wang, Lin F. Yang
ICMLW 2024 Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning Junyan Liu, Yunfan Li, Ruosong Wang, Lin Yang
NeurIPS 2023 Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms Tiancheng Jin, Junyan Liu, Haipeng Luo
NeurIPS 2023 No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo