Boxiang Lyu - RankMe

21 papers A* 5A 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design. J. Mach. Learn. Res. Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
2026	J	`jnl`	Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting. CoRR Zhongjian Qiao, Jiafei Lyu, Boxiang Lyu, Yao Shu, Siyang Gao, Shuang Qiu
2025	A*	`conf`	An Instrumental Value for Data Production and its Application to Data Pricing. ICML Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Haifeng Xu
2024	J	`jnl`	An Instrumental Value for Data Production and its Application to Data Pricing. CoRR Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Haifeng Xu
2024	J	`jnl`	Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach. J. Mach. Learn. Res. Shuang Qiu, Boxiang Lyu, Qinglin Meng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
2024	A*	`conf`	Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning. ICML Dake Zhang, Boxiang Lyu, Shuang Qiu, Mladen Kolar, Tong Zhang
2024	J	`jnl`	Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning. CoRR Dake Zhang, Boxiang Lyu, Shuang Qiu, Mladen Kolar, Tong Zhang
2024	J	`jnl`	Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning. CoRR Shuang Qiu, Dake Zhang, Rui Yang, Boxiang Lyu, Tong Zhang
2023	A*	`conf`	Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm. ICML Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar
2023	J	`jnl`	Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm. CoRR Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar
2023	J	`jnl`	L-SVRG and L-Katyusha with Adaptive Sampling. Trans. Mach. Learn. Res. Boxin Zhao, Boxiang Lyu, Mladen Kolar
2023	A	`conf`	One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning. AISTATS Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar
2023	A*	`conf`	Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions. ICML Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo
2023	J	`jnl`	Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions. CoRR Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo
2022	J	`jnl`	A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design. CoRR Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
2022	J	`jnl`	L-SVRG and L-Katyusha with Adaptive Sampling. CoRR Boxin Zhao, Boxiang Lyu, Mladen Kolar
2022	J	`jnl`	Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach. CoRR Boxiang Lyu, Qinglin Meng, Shuang Qiu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
2022	J	`jnl`	One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning. CoRR Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar
2022	J	`jnl`	Personalized Federated Learning with Multiple Known Clusters. CoRR Boxiang Lyu, Filip Hanzely, Mladen Kolar
2022	A*	`conf`	Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning. ICML Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang
2022	J	`jnl`	Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning. CoRR Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang