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Tom Minka
Observed name:
Minka, Tom
Institutions:
Microsoft (United States),
Lancaster University
Observed institutions:
Microsoft (United States),
Microsoft Research (United Kingdom),
Lancaster University,
Carnegie Mellon University
OpenAlex ID:
A5111963706
TrueSkill™: A Bayesian Skill Rating System
2007
·
Ralf Herbrich
, Tom Minka
, et al.
·
The MIT Press eBooks
·
709
You are facing the Mona Lisa
2012
·
Souvik Sen
, Božidar Radunovic
, et al.
·
International Conference on Mobile Systems, Applications, and Services
·
499
Bayesian color constancy revisited
2008
·
Peter Vincent Gehler
, Carsten Rother
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
425
SoftRank
2008
·
Michael Taylor
, John Guiver
, et al.
·
ACM International Conference on Web Search and Data Mining (WSDM)
·
332
Interactive Learning Using a “Society of Models”
1997
·
Tom Minka
, Rosalind W. Picard
·
265
Click chain model in web search
2009
·
Fan Guo
, Chao Liu
, et al.
·
International World Wide Web Conference (WWW)
·
222
How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
2012
·
Bachrach, Yoram
, Graepel, Thore
, et al.
·
arXiv (Cornell University)
·
179
PDF
A* Sampling
2014
·
Chris J. Maddison
, Daniel Tarlow
, et al.
·
154
TrueSkill Through Time: Revisiting the History of Chess
2007
·
Pierre Dangauthier
, Ralf Herbrich
, et al.
·
95
A novel click model and its applications to online advertising
2010
·
Zeyuan Allen Zhu
, Weizhu Chen
, et al.
·
ACM International Conference on Web Search and Data Mining (WSDM)
·
92
Non-conjugate Variational Message Passing for Multinomial and Binary Regression
2011
·
David A. Knowles
, Tom Minka
·
88
Precise indoor localization using PHY layer information
2011
·
Souvik Sen
, Romit Roy Choudhury
, et al.
·
ACM Workshop on Hot Topics in Networks (HotNets)
·
82
Bayesian Linear Regression
2000
·
Tom Minka
·
82
Understanding Causality with Large Language Models: Feasibility and Opportunities
2023
·
Zhang, Cheng
, Bauer, Stefan
, et al.
·
arXiv (Cornell University)
·
79
PDF
Bayesian Prior Choice in IRT Estimation Using MCMC and Variational Bayes
2016
·
Prathiba Natesan
, Ratna Nandakumar
, et al.
·
Frontiers in Psychology
·
79
PDF
Estimating a Gamma Distribution
2002
·
Tom Minka
·
76
Bayesian Color Constancy with Non-Gaussian Models
2003
·
Charles Rosenberg
, Alok Ladsariya
, et al.
·
75
Tree-structured Approximations by Expectation Propagation
2003
·
Yuan Qi
, Tom Minka
·
neural information processing systems
·
70
Deriving Quadrature Rules from Gaussian Processes
2000
·
Tom Minka
·
61
Discriminative models, not discriminative training
2005
·
Tom Minka
·
59
Bayesian Model Averaging is not Model Combination
2000
·
Tom Minka
·
56
From Hidden Markov Models to Linear Dynamical Systems
1999
·
Tom Minka
·
52
TrueSkill 2: An improved Bayesian skill rating system
2018
·
Tom Minka
, Ryan Cleven
, et al.
·
49
Power EP
2004
·
Tom Minka
·
49
Spot Localization using PHY Layer Information
2012
·
Souvik Sen
, Božidar Radunović
, et al.
·
International Conference on Mobile Systems, Applications, and Services
·
44
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Works count:
76
Citation count:
4,309
H-index:
28
I10-index:
38
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