Roweis, Sam T.

32 publications

IJCAI 2011 Recommender Systems, Missing Data and Statistical Model Estimation Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney

JMLR 2011 Two Distributed-State Models for Generating High-Dimensional Time Series Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis

CVPR 2008 Learning Stick-Figure Models Using Nonparametric Bayesian Priors over Trees Edward Meeds, David A. Ross, Richard S. Zemel, Sam T. Roweis

ICML 2008 Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 William W. Cohen, Andrew McCallum, Sam T. Roweis

UAI 2007 Collaborative Filtering and the Missing at Random Assumption Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney

NeurIPS 2007 Convex Learning with Invariances Choon H. Teo, Amir Globerson, Sam T. Roweis, Alex J. Smola

ICML 2006 An Investigation of Computational and Informational Limits in Gaussian Mixture Clustering Nathan Srebro, Gregory Shakhnarovich, Sam T. Roweis

NeurIPS 2006 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Rachel Puckrin, Sean Cutler

NeurIPS 2006 Modeling Dyadic Data with Binary Latent Factors Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis

NeurIPS 2006 Modeling Human Motion Using Binary Latent Variables Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis

ICML 2006 Nightmare at Test Time: Robust Learning by Feature Deletion Amir Globerson, Sam T. Roweis

NeurIPS 2005 Metric Learning by Collapsing Classes Amir Globerson, Sam T. Roweis

AISTATS 2005 Unsupervised Learning with Non-Ignorable Missing Data Benjamin M. Marlin, Sam T. Roweis, Richard S. Zemel

NeurIPS 2004 Hierarchical Clustering of a Mixture Model Jacob Goldberger, Sam T. Roweis

NeurIPS 2004 Multiple Alignment of Continuous Time Series Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili

NeurIPS 2004 Neighbourhood Components Analysis Jacob Goldberger, Geoffrey E. Hinton, Sam T. Roweis, Ruslan Salakhutdinov

ICML 2003 Adaptive Overrelaxed Bound Optimization Methods Ruslan Salakhutdinov, Sam T. Roweis

NeurIPS 2003 Inferring State Sequences for Non-Linear Systems with Embedded Hidden Markov Models Radford M. Neal, Matthew J. Beal, Sam T. Roweis

NeurIPS 2003 Non-Linear CCA and PCA by Alignment of Local Models Jakob J. Verbeek, Sam T. Roweis, Nikos Vlassis

UAI 2003 On the Convergence of Bound Optimization Algorithms Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani

ICML 2003 Optimization with EM and Expectation-Conjugate-Gradient Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani

NeurIPS 2003 Probabilistic Inference of Speech Signals from Phaseless Spectrograms Kannan Achan, Sam T. Roweis, Brendan J. Frey

JMLR 2003 Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds Lawrence K. Saul, Sam T. Roweis

ICML 2002 An Alternate Objective Function for Markovian Fields Sham M. Kakade, Yee Whye Teh, Sam T. Roweis

NeurIPS 2002 Automatic Alignment of Local Representations Yee W. Teh, Sam T. Roweis

NeurIPS 2002 Stochastic Neighbor Embedding Geoffrey E. Hinton, Sam T. Roweis

NeurIPS 2001 Global Coordination of Local Linear Models Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton

NeurIPS 2000 One Microphone Source Separation Sam T. Roweis

NeCo 1999 A Unifying Review of Linear Gaussian Models Sam T. Roweis, Zoubin Ghahramani

NeurIPS 1999 Constrained Hidden Markov Models Sam T. Roweis

NeurIPS 1998 Learning Nonlinear Dynamical Systems Using an EM Algorithm Zoubin Ghahramani, Sam T. Roweis

NeurIPS 1997 EM Algorithms for PCA and SPCA Sam T. Roweis