Boxiang Lyu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Pairwise Classification

Reinforcement Learning

Contextual Advertising

Adaptive Sampling

Top Venues

Trans. Mach. Learn. Res.

Publications

Shuang Qiu, Dake Zhang, Rui Yang, Boxiang Lyu, Tong Zhang
Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning. CoRR (2024)
Dake Zhang, Boxiang Lyu, Shuang Qiu, Mladen Kolar, Tong Zhang
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning. CoRR (2024)
Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm. CoRR (2023)
Boxin Zhao, Boxiang Lyu, Mladen Kolar
L-SVRG and L-Katyusha with Adaptive Sampling. Trans. Mach. Learn. Res. 2023 (2023)
Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning. AISTATS (2023)
Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions. ICML (2023)
Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions. CoRR (2023)
Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm. ICML (2023)
Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design. CoRR (2022)
Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning. CoRR (2022)
Boxiang Lyu, Qinglin Meng, Shuang Qiu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach. CoRR (2022)
Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning. ICML (2022)
Boxin Zhao, Boxiang Lyu, Mladen Kolar
L-SVRG and L-Katyusha with Adaptive Sampling. CoRR (2022)
Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar
One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning. CoRR (2022)
Boxiang Lyu, Filip Hanzely, Mladen Kolar
Personalized Federated Learning with Multiple Known Clusters. CoRR (2022)