Location: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » NIPS Workshops, Sierra Nevada 2011 » Discrete Optimization in Machine Learning

Combinatorial prediction games

author: Nicolò Cesa-Bianchi, University of Milan
published: Jan. 25, 2012,   recorded: December 2011,   views: 4305
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Description

Combinatorial prediction games are problems of online linear optimization in which the action space is a combinatorial space. These games can be studied under different feedback models: full, semi-bandit, and bandit. In first part of the talk we will describe the main known facts about these models and mention some of the open problems. In the second part we will focus on the bandit feedback and describe some recent results which strengthen the link between bandit optimization and convex geometry.

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Download slides icon Download slides: nipsworkshops2011_cesa_bianchi_games_01.pdf (321.9 KB)

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Reviews and comments:

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Comment4 Episode, June 18, 2021 at 6:09 a.m.:

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Comment5 Among Us Pro, November 16, 2021 at 6:20 a.m.:

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