Ziping Xu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Reinforcement Learning

Top Venues

Publications

Kevin Tan, Ziping Xu
A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverage. CoRR (2024)
Quanfu Fan, Yilai Li, Yuguang Yao, John Cohn, Sijia Liu, Ziping Xu, Seychelle M. Vos, Michael A. Cianfrocco
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection. WACV (2024)
Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. ICLR (2024)
Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. CoRR (2024)
Ziping Xu, Kelly W. Zhang, Susan A. Murphy
The Fallacy of Minimizing Local Regret in the Sequential Task Setting. CoRR (2024)
Yongyi Guo, Ziping Xu, Susan A. Murphy
Online learning in bandits with predicted context. AISTATS (2024)
Ziping Xu, Ambuj Tewari
On the Statistical Benefits of Curriculum Learning. ICML (2022)
Ziping Xu, Eunjae Shim, Ambuj Tewari, Paul M. Zimmerman
Adaptive Sampling for Discovery. NeurIPS (2022)
Ziping Xu, Eunjae Shim, Ambuj Tewari, Paul M. Zimmerman
Adaptive Learning for Discovery. CoRR (2022)
Ziping Xu, Ambuj Tewari
On the Statistical Benefits of Curriculum Learning. CoRR (2021)
Ziping Xu, Ambuj Tewari
Representation Learning Beyond Linear Prediction Functions. CoRR (2021)
Yangyi Lu, Ziping Xu, Ambuj Tewari
Bandit Algorithms for Precision Medicine. CoRR (2021)
Ziping Xu, Ambuj Tewari
Representation Learning Beyond Linear Prediction Functions. NeurIPS (2021)
Hao Sun, Ziping Xu, Meng Fang, Zhenghao Peng, Jiadong Guo, Bo Dai, Bolei Zhou
Safe Exploration by Solving Early Terminated MDP. CoRR (2021)
Ziping Xu, Amirhossein Meisami, Ambuj Tewari
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns. AISTATS (2021)
Tarun Gogineni, Ziping Xu, Exequiel Punzalan, Runxuan Jiang, Joshua Kammeraad, Ambuj Tewari, Paul M. Zimmerman
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search. NeurIPS (2020)
Ziping Xu, Amir Meisami, Ambuj Tewari
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns. CoRR (2020)
Ziping Xu, Ambuj Tewari
Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting. NeurIPS (2020)
Tarun Gogineni, Ziping Xu, Exequiel Punzalan, Runxuan Jiang, Joshua Kammeraad, Ambuj Tewari, Paul M. Zimmerman
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search. CoRR (2020)
Ziping Xu, Ambuj Tewari
Near-optimal Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms for the Non-episodic Setting. CoRR (2020)
Hao Sun, Ziping Xu, Yuhang Song, Meng Fang, Jiechao Xiong, Bo Dai, Zhengyou Zhang, Bolei Zhou
Zeroth-Order Supervised Policy Improvement. CoRR (2020)