ML Anthology

Winn, John

9 publications

NeurIPS 2014 Just-in-Time Learning for Fast and Flexible Inference S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John Winn
NeurIPS 2013 Decision Jungles: Compact and Rich Models for Classification Jamie Shotton, Toby Sharp, Pushmeet Kohli, Sebastian Nowozin, John Winn, Antonio Criminisi
NeurIPS 2013 Learning to Pass Expectation Propagation Messages Nicolas Heess, Daniel Tarlow, John Winn
AISTATS 2012 Causality with Gates John Winn
NeurIPS 2008 Gates Tom Minka, John Winn
NeurIPS 2006 Clustering Appearance and Shape by Learning Jigsaws Anitha Kannan, John Winn, Carsten Rother
JMLR 2005 Variational Message Passing John Winn, Christopher M. Bishop
NeurIPS 2004 Generative Affine Localisation and Tracking John Winn, Andrew Blake
NeurIPS 2002 VIBES: A Variational Inference Engine for Bayesian Networks Christopher M. Bishop, David Spiegelhalter, John Winn