PPT-Hierarchical Exploration for Accelerating Contextual Bandit
Author : sherrill-nordquist | Published Date : 2016-09-03
Yisong Yue Carnegie Mellon University Joint work with Sue Ann Hong CMU amp Carlos Guestrin CMU Sports Like Topic Likes Displayed Average Sports 1 1 1 Politics
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Hierarchical Exploration for Accelerating Contextual Bandit: Transcript
Yisong Yue Carnegie Mellon University Joint work with Sue Ann Hong CMU amp Carlos Guestrin CMU Sports Like Topic Likes Displayed Average Sports 1 1 1 Politics. 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 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. Accelerating Contextual Bandits. Yisong . Yue, . Sue Ann Hong . and. . Carlos Guestrin . Personalized Recommender Systems. Every day, user . visits . news portal. Wish to personalize to her . preferences. ABOUT SGT.io. SGT.io. . offers . native advertising technology to monetize contextual . commerce.. We create new customers . by converting traffic and increasing order values across 25M+ users.. We increase ad-engagement . 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. . 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, …. 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. . Produces a set of . nested clusters . organized as a hierarchical tree. Can be visualized as a . dendrogram. A tree-like diagram that records the sequences of merges or splits. Strengths of Hierarchical Clustering.
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