PPT-Tradeoffs in contextual bandit learning

Author : pasty-toler | Published Date : 2018-10-30

Alekh Agarwal Microsoft Research Joint work with Daniel Hsu John Langford Lihong Li Satyen Kale and Rob Schapire Learning to interact example 1 Loop 1 Patient

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Tradeoffs in contextual bandit learning: Transcript

Alekh Agarwal Microsoft Research Joint work with Daniel Hsu John Langford Lihong Li Satyen Kale and Rob Schapire Learning to interact example 1 Loop 1 Patient arrives with symptoms medical history genome . 50 Date 20140503 Imports boot gam 109 Author Thomas Lotze and Markus Loecher Maintainer Thomas Lotze Description A set of functions for doing analysis of AB split test data and web metrics in general License GPL3 NeedsCompilation no Repository CRAN Of64258ine evaluation of the effectiveness of new algorithms in these applications is critical for protecting online user experiences but very challenging due to their partiallabel nature A common practice is to create a simulator which simulates th Ofer. . Dekel. , . Elad. . Hazan. , . Tomer. . Koren. NIPS 2014 (Yesterday). Overview. Online Learning setting with Bandit feedback . No feedback when we switch action . “Blinded” Multi-Armed Bandit. Yisong Yue . Carnegie Mellon University. Joint work with. Sue Ann Hong (CMU) & Carlos . Guestrin. (CMU). …. Sports. Like!. Topic. # Likes. # Displayed. Average. Sports. 1. 1. 1. Politics. 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. Norman Amundson. University of British Columbia. amundson@interchange.ubc.ca. . decision. trigger. external. influences. determining. contexts. ACTION. framing. Interactive Decision. Making Model. Enthusiasm. Bransford, J.D., & Johnson, M.K. (1972). Contextual prerequisites for understanding: Some investigations of comprehension and recall. Journal of Verbal Learning and Verbal Behavior, 11, 717-726.. Yisong Yue . Carnegie Mellon University. Joint work with. Sue Ann Hong (CMU) & Carlos . Guestrin. (CMU). …. Sports. Like!. Topic. # Likes. # Displayed. Average. Sports. 1. 1. 1. Politics. 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 . Michael Burns. Martin . Haidacher. Eduard . Gröller. Ivan Viola. Wolfgang . Wein. Preface. CT scan with embedded Ultrasound data. Michael Burns - Contextual Medical Visualization. Visualization Scenario. Yisong Yue (CMU) & Thorsten . Joachims. (Cornell). Team Draft Interleaving. (Comparison Oracle for Search). Ranking A. Napa Valley – The authority for lodging.... www.napavalley.com. Napa Valley Wineries - Plan your wine.... a. . Collaborative. . Environment. Qingyun. . Wu. 1. ,. . Huazheng. . Wang. 1. ,. . Quanquan. . Gu. 2. ,. . Hongning. Wang. 1. 1. Department. . of. . Computer. . Science. 2. Department. . Students: Gal Paikin, Nir Bachrach. Supervisor: Amir Kantor. Team . Gal Paikin – A student in his final year in . Bsc. Computer Science. Nir Bachrach – A student in his third year, in BSc Computer Science and Mathematics. . PROBLEM SOLVING VALUERUBRICDefinitionProblem solving is the process of designing evaluating and implementing a strategy to answer an openended question or achieve a desired goalEvaluators are encourag

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