Title:
Algorithmic Discrete Choice

dc.contributor.author Kumar, Ravi
dc.contributor.corporatename Georgia Institute of Technology. Algorithms, Randomness and Complexity Center en_US
dc.contributor.corporatename Google (Firm) en_US
dc.date.accessioned 2019-11-15T20:43:28Z
dc.date.available 2019-11-15T20:43:28Z
dc.date.issued 2019-11-04
dc.description Presented on November 4, 2019 at 11:00 a.m. in the Klaus Advanced Computing Building, Room 1116E. en_US
dc.description Ravi Kumar has been a senior staff research scientist at Google since June 2012. Prior to this, he was a research staff member at the IBM Almaden Research Center and a principal research scientist at Yahoo! Research. He obtained his PhD in Computer Science from Cornell University in 1998. His research interests include Web search and data mining, algorithms for massive data, and the theory of computation. en_US
dc.description Runtime: 49:05 minutes en_US
dc.description.abstract In this talk we consider random utility models for discrete choice. In discrete choice, the task is to select exactly one element from a discrete set of alternatives. We focus on algorithmic questions in this and related models, ranging from reconstructing the model parameters to identifiability of mixtures of models. en_US
dc.format.extent 49:05 minutes
dc.identifier.uri http://hdl.handle.net/1853/62031
dc.language.iso en_US en_US
dc.relation.ispartofseries Algorithms and Randomness Center (ARC) Colloquium
dc.subject Discrete choice en_US
dc.subject Parameter estimation en_US
dc.subject Random utility models en_US
dc.title Algorithmic Discrete Choice en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename Algorithms and Randomness Center
local.contributor.corporatename College of Computing
local.relation.ispartofseries ARC Colloquium
relation.isOrgUnitOfPublication b53238c2-abff-4a83-89ff-3e7b4e7cba3d
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication c933e0bc-0cb1-4791-abb4-ed23c5b3be7e
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