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Joint Online Learning and Decision-making via Dual Mirror Descent


Apr 20, 2021
Alfonso Lobos, Paul Grigas, Zheng Wen


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Reinforcement Learning, Bit by Bit


Mar 14, 2021
Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen


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Neural Contextual Bandits with Deep Representation and Shallow Exploration


Dec 03, 2020
Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu

* 28 pages, 1 figure, 1 table 

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A Benchmark and Baseline for Language-Driven Image Editing


Oct 05, 2020
Jing Shi, Ning Xu, Trung Bui, Franck Dernoncourt, Zheng Wen, Chenliang Xu

* Accepted by ACCV 2020 

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On the Sample Complexity of Reinforcement Learning with Policy Space Generalization


Aug 17, 2020
Wenlong Mou, Zheng Wen, Xi Chen


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Low-rank Tensor Bandits


Jul 31, 2020
Botao Hao, Jie Zhou, Zheng Wen, Will Wei Sun


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Structured Policy Iteration for Linear Quadratic Regulator


Jul 13, 2020
Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao


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Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems


Jul 09, 2020
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel


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Hypermodels for Exploration


Jun 12, 2020
Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy

* Published as a conference paper at ICLR 2020 

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Improving Adversarial Text Generation by Modeling the Distant Future


May 04, 2020
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin

* ACL 2020. arXiv admin note: substantial text overlap with arXiv:1811.00696 

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Nested-Wasserstein Self-Imitation Learning for Sequence Generation


Jan 20, 2020
Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin

* Accepted by AISTATS2020 

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Bootstrapping Upper Confidence Bound


Jul 23, 2019
Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng


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Waterfall Bandits: Learning to Sell Ads Online


Apr 20, 2019
Branislav Kveton, Saied Mahdian, S. Muthukrishnan, Zheng Wen, Yikun Xian


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Stochastic Online Learning with Probabilistic Graph Feedback


Mar 04, 2019
Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung


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Scalable Thompson Sampling via Optimal Transport


Feb 19, 2019
Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin

* Infer to Control Workshop on Probabilistic Reinforcement Learning and Structured Control at NIPS 2018; Long version accepted by AISTATS 2019 

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Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits


Nov 13, 2018
Branislav Kveton, Csaba Szepesvari, Zheng Wen, Mohammad Ghavamzadeh, Tor Lattimore


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Online Diverse Learning to Rank from Partial-Click Feedback


Nov 01, 2018
Prakhar Gupta, Gaurush Hiranandani, Harvineet Singh, Branislav Kveton, Zheng Wen, Iftikhar Ahamath Burhanuddin

* The first three authors contributed equally to this work. 24 pages, 4 figures, 1 table 

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Posterior Sampling for Large Scale Reinforcement Learning


Oct 22, 2018
Georgios Theocharous, Zheng Wen, Yasin Abbasi-Yadkori, Nikos Vlassis


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Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback


Jun 19, 2018
Zheng Wen, Branislav Kveton, Michal Valko, Sharan Vaswani

* Z. Wen, B. Kveton, M. Valko, and S. Vaswani, "Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback", Advances in Neural Information Processing Systems 30 Proceedings, 2017 
* Compared with the previous version, this version has fixed a mistake. This version is also consistent with the NIPS camera-ready version 

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Offline Evaluation of Ranking Policies with Click Models


Jun 13, 2018
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen


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Deep Exploration via Randomized Value Functions


Jun 06, 2018
Ian Osband, Benjamin Van Roy, Daniel Russo, Zheng Wen


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Conservative Exploration using Interleaving


Jun 03, 2018
Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru


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Model-Independent Online Learning for Influence Maximization


May 24, 2018
Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks Lakshmanan, Mark Schmidt


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New Insights into Bootstrapping for Bandits


May 24, 2018
Sharan Vaswani, Branislav Kveton, Zheng Wen, Anup Rao, Mark Schmidt, Yasin Abbasi-Yadkori


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SpectralLeader: Online Spectral Learning for Single Topic Models


Apr 26, 2018
Tong Yu, Branislav Kveton, Zheng Wen, Hung Bui, Ole J. Mengshoel

* 17 pages, 2 figures 

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Nearly Optimal Adaptive Procedure for Piecewise-Stationary Bandit: a Change-Point Detection Approach


Feb 17, 2018
Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie


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Stochastic Low-Rank Bandits


Dec 13, 2017
Branislav Kveton, Csaba Szepesvari, Anup Rao, Zheng Wen, Yasin Abbasi-Yadkori, S. Muthukrishnan


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A Tutorial on Thompson Sampling


Nov 19, 2017
Daniel Russo, Benjamin Van Roy, Abbas Kazerouni, Ian Osband, Zheng Wen


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