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2020 – today
- 2024
[j1]Kevin Tan, Ziping Xu:
A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverage. RLJ 3: 1252-1264 (2024)- [c9]Yongyi Guo, Ziping Xu, Susan A. Murphy:
Online learning in bandits with predicted context. AISTATS 2024: 2215-2223 - [c8]Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari:
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. ICLR 2024 - [c7]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: 7877-7887 - [i12]Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari:
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. CoRR abs/2403.01636 (2024) - [i11]Kevin Tan, Ziping Xu:
A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverage. CoRR abs/2403.09701 (2024) - [i10]Ziping Xu, Kelly W. Zhang, Susan A. Murphy:
The Fallacy of Minimizing Local Regret in the Sequential Task Setting. CoRR abs/2403.10946 (2024) - 2022
- [c6]Ziping Xu, Ambuj Tewari:
On the Statistical Benefits of Curriculum Learning. ICML 2022: 24663-24682 - [c5]Ziping Xu, Eunjae Shim, Ambuj Tewari, Paul M. Zimmerman:
Adaptive Sampling for Discovery. NeurIPS 2022 - [i9]Ziping Xu, Eunjae Shim, Ambuj Tewari, Paul M. Zimmerman:
Adaptive Learning for Discovery. CoRR abs/2205.14829 (2022) - 2021
- [c4]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: 127-135 - [c3]Ziping Xu, Ambuj Tewari:
Representation Learning Beyond Linear Prediction Functions. NeurIPS 2021: 4792-4804 - [i8]Ziping Xu, Ambuj Tewari:
Representation Learning Beyond Linear Prediction Functions. CoRR abs/2105.14989 (2021) - [i7]Hao Sun, Ziping Xu, Meng Fang, Zhenghao Peng, Jiadong Guo, Bo Dai, Bolei Zhou:
Safe Exploration by Solving Early Terminated MDP. CoRR abs/2107.04200 (2021) - [i6]Yangyi Lu, Ziping Xu, Ambuj Tewari:
Bandit Algorithms for Precision Medicine. CoRR abs/2108.04782 (2021) - [i5]Ziping Xu, Ambuj Tewari:
On the Statistical Benefits of Curriculum Learning. CoRR abs/2111.07126 (2021) - 2020
- [c2]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 - [c1]Ziping Xu, Ambuj Tewari:
Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting. NeurIPS 2020 - [i4]Ziping Xu, Ambuj Tewari:
Near-optimal Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms for the Non-episodic Setting. CoRR abs/2002.02302 (2020) - [i3]Hao Sun, Ziping Xu, Yuhang Song, Meng Fang, Jiechao Xiong, Bo Dai, Zhengyou Zhang, Bolei Zhou:
Zeroth-Order Supervised Policy Improvement. CoRR abs/2006.06600 (2020) - [i2]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 abs/2006.07078 (2020) - [i1]Ziping Xu, Amir Meisami, Ambuj Tewari:
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns. CoRR abs/2010.08048 (2020)
Coauthor Index
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