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Bandit
Results: 280

#	Item
51	JMLR: Workshop and Conference Proceedings vol–25th Annual Conference on Learning Theory Analysis of Thompson Sampling for the Multi-armed Bandit Problem Shipra Agrawal Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2012-06-17 06:50:47
52	JMLR: Workshop and Conference Proceedings vol 40:1–26, 2015 Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem Junpei Komiyama Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36
53	Scalable Discrete Sampling as a Multi-Armed Bandit Problem Yutian Chen Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK YUTIAN . CHEN @ ENG . CAM . AC . UK Add to Reading List Source URL: www.cantab.net Language: English - Date: 2016-04-27 17:20:31
54	Non-Stochastic Bandit Slate Problems Satyen Kale Yahoo! Research Santa Clara, CA Lev Reyzin∗ Add to Reading List Source URL: rob.schapire.net Language: English - Date: 2015-07-13 19:42:28
55	Journal of Machine Learning Research–1105 Submitted 2/05; Published 6/06 Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems∗ Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2006-06-22 16:25:37
56	APPENDIX – SUPPLEMENTARY MATERIAL Contextual Bandit Algorithms with Supervised Learning Guarantees Alina Beygelzimer IBM Research Hawthorne, NY Add to Reading List Source URL: jmlr.org Language: English
57	Linear Submodular Bandits and their Application to Diversified Retrieval Carlos Guestrin Machine Learning Department Carnegie Mellon University Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2011-10-28 13:54:18 Natural language processing Submodular set function Machine learning Recommender system Algorithm Information retrieval Online algorithm Multi-armed bandit Automatic summarization
58	Optimization as Estimation with Gaussian Processes in Bandit Settings Anonymous Authors Affiliation Add to Reading List Source URL: bayesopt.github.io Language: English - Date: 2016-04-20 12:58:34
59	Multi-Armed Bandit Models for 2D Grasp Planning with Uncertainty Michael Laskey1 , Jeff Mahler1 , Zoe McCarthy1 , Florian T. Pokorny1 , Sachin Patil1 , Jur van den Berg4 , Danica Kragic3 , Pieter Abbeel1 , Ken Goldberg2 Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2015-08-31 02:12:22 Statistics Probability Child development Grasp Reinforcement learning Gittins index Gaussian process Sensitivity analysis Monte Carlo integration Probability distribution Monte Carlo method Sampling
60	Bayesian Incentive-Compatible Bandit Exploration∗ Yishay Mansour† Aleksandrs Slivkins‡ Vasilis Syrgkanis§ Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-10-27 06:12:36

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