PPT-Multi-armed Bandits: Learning through Experimentation

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CS246 Mining Massive Datasets Caroline Lo Stanford University httpcs246stanfordedu Learning through Experimentation Web advertising Weve learned how to match advertisers

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Multi-armed Bandits: Learning through Experimentation: Transcript

CS246 Mining Massive Datasets Caroline Lo Stanford University httpcs246stanfordedu Learning through Experimentation Web advertising Weve learned how to match advertisers to queries in realtime . Where might you find bandit problems?. Clinical Trials. Feynman: restaurants. E-advertising (Yahoo, MSFT). Rewards to users (Diabetes study, DMN). Utility functions. Action-Value Methods. ε. -greedy. . Deepayan. . Chakrabarti. , Yahoo! Research. Ravi Kumar, Yahoo! Research. Filip Radlinski, Microsoft Research. Eli . Learning to Interact. Towards “Self-learning” Search Solutions. Presenting work by various authors, and own work in collaboration with colleagues at Microsoft and the University of Amsterdam. @. katjahofmann. PARENTS MEETING. AGENDA. Coach Introductions. Bandits History. Hampton Roads Lacrosse (HR Lax). Communication. Season Schedule. Teams/Post-Season Play. Girls. Rules. Fundraising. Chesapeake Bandits Lacrosse Club. Robert Kleinberg. Cornell University. Microsoft Faculty Summit, 2009. Prelude: . Tennis . or . Boxing. ?. You’re designing a sporting event . with . n. players of unknown . quality. Spectators want to see matches . Kira . Radinsky. Slides based on material from the paper . “Bandits for Taxonomies: A Model-based Approach” by . Sandeep Pandey, Deepak Agarwal, . Deepayan. . Chakrabarti. , . Vanja. . Josifovski. Pietermaritzburg. KwaZulu. -Natal. 5-7 April 2010. What is local innovation?. It is the process by which farmers, without support from R&D agents, discover or develop new and better ways of doing things – using the locally available resources. Zhu Han. Department of Electrical and Computer Engineering. University of Houston, TX, USA. Sep. . . 2016. Overview. Introduction. Basic Classification. Bounds. Algorithms. Variants. One Example. A slot machine with K . experiments . in Trnava/. Zlin. 2016. . Graasp. and Go-Lab . Research-based education . - on example of remote experiments „ INCLINEs “. F. . Schauer. 3. rd. . SCOPES . S. eminar. - . Trnava . March 20. https://arxiv.org/abs/1606.03966. The Decision Service. ??. Ex: . Which news?. Repeatedly: . Observe features of . user+articles. Choose a news article.. Observe click-or-not. Goal: Maximize fraction of clicks. CAWL Program Practices. - Preseason @ Robinson SS, SEP-OCT, TUE & THU, 6:00-8:00 PM.. Season - NOV-MAR. - @ Robinson SS, MON & THU, 6:30-8:30 PM. - @ South County HS, TUE & WED, 6:30-8:30 PM. Csaba . Szepesv. á. ri. April 20, 2017. AISTATS 2017. From August 2017. Thanks to... (or spot the bandit!). Yasin Abbasi-Yadkori. D. á. vid P. á. l. Tor Lattimore. Sarah Filippi. Aur. é. lien . Garivi. a. . Collaborative. . Environment. Qingyun. . Wu. 1. ,. . Huazheng. . Wang. 1. ,. . Quanquan. . Gu. 2. ,. . Hongning. Wang. 1. 1. Department. . of. . Computer. . Science. 2. Department. . Game Development. By: Kenny . Raharjo. 1. Agenda. Problem scope and goals. Game development trend. Multi-armed . bandit (MAB) . introduction. Integrating MAB into game development. Project finding and results.

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