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All publications by Tom Minka
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A\ast Sampling
Chris J. Maddison, Daniel Tarlow and Tom Minka
Advances in Neural Information Processing Systems 27, 2014


How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Yoram Bachrach, Thore Graepel, Tom Minka and John Guiver
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Non-conjugate Variational Message Passing for Multinomial and Binary Regression
David A. Knowles and Tom Minka
Advances in Neural Information Processing Systems 24, 2011


Gates
Tom Minka and John Winn
Advances in Neural Information Processing Systems 21, 2008


TrueSkill Through Time: Revisiting the History of Chess
Pierre Dangauthier, Ralf Herbrich, Tom Minka and Thore Graepel
Advances in Neural Information Processing Systems 20, 2007


TrueSkillâ„¢: A Bayesian Skill Rating System
Ralf Herbrich, Tom Minka and Thore Graepel
Advances in Neural Information Processing Systems 19, 2006


Bayesian Color Constancy with Non-Gaussian Models
Charles Rosenberg, Alok Ladsariya and Tom Minka
Advances in Neural Information Processing Systems 16, 2003


Tree-structured Approximations by Expectation Propagation
Yuan Qi and Tom Minka
Advances in Neural Information Processing Systems 16, 2003