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Non-Stationary Latent Bandits

Dec 01, 2020
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier

* 15 pages, 4 figures 

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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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Latent Bandits Revisited

Jun 15, 2020
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier

* 16 pages, 2 figures 

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Piecewise-Stationary Off-Policy Optimization

Jun 15, 2020
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed

* 16 pages, 2 figures 

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Differentiable Meta-Learning in Contextual Bandits

Jun 09, 2020
Branislav Kveton, Martin Mladenov, Chih-Wei Hsu, Manzil Zaheer, Csaba Szepesvari, Craig Boutilier


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Sample Efficient Graph-Based Optimization with Noisy Observations

Jun 04, 2020
Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton

* AISTATS 2019 
* The first version of this paper appeared in AISTATS 2019. Thank to community feedback, some typos and a minor issue have been identified. Specifically, on page 4, column 2, line 18, the statement $\Delta_{1,s} \ge (1+m)^{S-1-s} \Delta_1$ is not valid, and in the proof of Theorem 2, "By Lemma 1" should be "By Definition 2". These problems are fixed in this updated version published here on arxiv 

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Differentiable Bandit Exploration

Feb 17, 2020
Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvari, Manzil Zaheer


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Old Dog Learns New Tricks: Randomized UCB for Bandit Problems

Oct 11, 2019
Sharan Vaswani, Abbas Mehrabian, Audrey Durand, Branislav Kveton


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Randomized Exploration in Generalized Linear Bandits

Jun 21, 2019
Branislav Kveton, Manzil Zaheer, Csaba Szepesvari, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier


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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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Empirical Bayes Regret Minimization

Apr 04, 2019
Chih-Wei Hsu, Branislav Kveton, Ofer Meshi, Martin Mladenov, Csaba Szepesvari


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Perturbed-History Exploration in Stochastic Linear Bandits

Mar 21, 2019
Branislav Kveton, Csaba Szepesvari, Mohammad Ghavamzadeh, Craig Boutilier


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Perturbed-History Exploration in Stochastic Multi-Armed Bandits

Feb 26, 2019
Branislav Kveton, Csaba Szepesvari, Mohammad Ghavamzadeh, Craig Boutilier


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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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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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BubbleRank: Safe Online Learning to Rerank

Jun 15, 2018
Branislav Kveton, Chang Li, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvari, Masrour Zoghi


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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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TopRank: A practical algorithm for online stochastic ranking

Jun 06, 2018
Tor Lattimore, Branislav Kveton, Shuai Li, Csaba Szepesvari


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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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Online Learning to Rank in Stochastic Click Models

Jun 20, 2017
Masrour Zoghi, Tomas Tunys, Mohammad Ghavamzadeh, Branislav Kveton, Csaba Szepesvari, Zheng Wen

* Proceedings of the 34th International Conference on Machine Learning 

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Does Weather Matter? Causal Analysis of TV Logs

Mar 24, 2017
Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen

* Companion of the 26th International World Wide Web Conference 

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Bernoulli Rank-$1$ Bandits for Click Feedback

Mar 19, 2017
Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen


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Stochastic Rank-1 Bandits

Mar 08, 2017
Sumeet Katariya, Branislav Kveton, Csaba Szepesvari, Claire Vernade, Zheng Wen

* Proceedings of the 20th International Conference on Artificial Intelligence and Statistics 

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Efficient Learning in Large-Scale Combinatorial Semi-Bandits

Jan 31, 2017
Zheng Wen, Branislav Kveton, Azin Ashkan


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