Search Results for author: Tom Minka

Found 5 papers, 1 papers with code

TrueSkill Through Time: Revisiting the History of Chess

2 code implementations NIPS 2007 Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thore Graepel

We extend the Bayesian skill rating system TrueSkill to infer entire time series of skills of players by smoothing through time instead of filtering.

Time Series

A* Sampling

no code implementations NeurIPS 2014 Chris J. Maddison, Daniel Tarlow, Tom Minka

The problem of drawing samples from a discrete distribution can be converted into a discrete optimization problem.

Non-conjugate Variational Message Passing for Multinomial and Binary Regression

no code implementations NeurIPS 2011 David A. Knowles, Tom Minka

Variational Message Passing (VMP) is an algorithmic implementation of the Variational Bayes (VB) method which applies only in the special case of conjugate exponential family models.

Gates

no code implementations NeurIPS 2008 Tom Minka, John Winn

We present general equations for expectation propagation and variational message passing in the presence of gates.

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