Lyu, Boxiang

8 publications

ICML 2025 An Instrumental Value for Data Production and Its Application to Data Pricing Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Haifeng Xu

JMLR 2024 Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach Shuang Qiu, Boxiang Lyu, Qinglin Meng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan

ICML 2024 Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning Dake Zhang, Boxiang Lyu, Shuang Qiu, Mladen Kolar, Tong Zhang

ICML 2023 Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar

TMLR 2023 L-SVRG and L-Katyusha with Adaptive Sampling Boxin Zhao, Boxiang Lyu, Mladen Kolar

AISTATS 2023 One Policy Is Enough: Parallel Exploration with a Single Policy Is Near-Optimal for Reward-Free Reinforcement Learning Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar

ICML 2023 Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo

ICML 2022 Pessimism Meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang