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All publications by Kevin P. Murphy
authors venues years



Bayesian dark knowledge
Anoop K. Balan, Vivek Rathod, Kevin P. Murphy and Max Welling
Advances in Neural Information Processing Systems 28, 2015


Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression
Emtiyaz Khan, Shakir Mohamed and Kevin P. Murphy
Advances in Neural Information Processing Systems 25, 2012


A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
Mohammad E. Khan, Shakir Mohamed, Benjamin M. Marlin and Kevin P. Murphy
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Variational bounds for mixed-data factor analysis
Mohammad E. Khan, Guillaume Bouchard, Kevin P. Murphy and Benjamin M. Marlin
Advances in Neural Information Processing Systems 23, 2010


Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials
Mark W. Schmidt and Kevin P. Murphy
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Sparse Gaussian graphical models with unknown block structure
Benjamin M. Marlin and Kevin P. Murphy
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models
Baback Moghaddam, Emtiyaz Khan, Kevin P. Murphy and Benjamin M. Marlin
Advances in Neural Information Processing Systems 22, 2009


Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm
Mark W. Schmidt, Ewout Berg, Michael P. Friedlander and Kevin P. Murphy
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Modeling changing dependency structure in multivariate time series
Xiang Xuan and Kevin P. Murphy
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Exact Bayesian structure learning from uncertain interventions
Daniel Eaton and Kevin P. Murphy
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Accelerated training of conditional random fields with stochastic gradient methods
Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy and S.v.n. Vishwanathan
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Contextual Models for Object Detection Using Boosted Random Fields
Antonio Torralba, Kevin P. Murphy and William T. Freeman
Advances in Neural Information Processing Systems 17, 2004


Graphical Model For Recognizing Scenes and Objects
Antonio Torralba, William T. Freeman and Kevin P. Murphy
Advances in Neural Information Processing Systems 16, 2003


Linear-time inference in Hierarchical HMMs
Kevin P. Murphy and Mark A. Paskin
Advances in Neural Information Processing Systems 14, 2001