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All publications by Mark W. Schmidt
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On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
David Buchman, Mark W. Schmidt, Shakir Mohamed, David Poole and Nando D. Freitas
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Modeling annotator expertise: Learning when everybody knows a bit of something
Yan Yan, RĂ³mer Rosales, Glenn Fung, Mark W. Schmidt, Gerardo H. Valadez, Luca Bogoni, Linda Moy and Jennifer G. Dy
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 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


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


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