Sam T. Roweis

Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney: Collaborative Filtering and the Missing at Random Assumption. CoRR abs/1206.5267 (2012)

Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani: On the Convergence of Bound Optimization Algorithms. CoRR abs/1212.2490 (2012)

Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis: Two Distributed-State Models For Generating High-Dimensional Time Series. Journal of Machine Learning Research 12: 1025-1068 (2011)

Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney: Recommender Systems, Missing Data and Statistical Model Estimation. IJCAI 2011: 2686-2691

Edward Meeds, David A. Ross, Richard S. Zemel, Sam T. Roweis: Learning stick-figure models using nonparametric Bayesian priors over trees. CVPR 2008

William W. Cohen, Andrew McCallum, Sam T. Roweis (Eds.): Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008. ACM International Conference Proceeding Series 307, ACM 2008, isbn 978-1-60558-205-4

John C. Platt, Daphne Koller, Yoram Singer, Sam T. Roweis (Eds.): Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007. Curran Associates, Inc. 2008

Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Peter Wong, Andrew Emili: Difference detection in LC-MS data for protein biomarker discovery. Bioinformatics 23(2): 198-204 (2007)

Amir Globerson, Sam T. Roweis: Visualizing pairwise similarity via semidefinite programming. Journal of Machine Learning Research - Proceedings Track 2: 139-146 (2007)

Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alex J. Smola: Convex Learning with Invariances. NIPS 2007

Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney: Collaborative Filtering and the Missing at Random Assumption. UAI 2007: 267-275

Robert Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, William T. Freeman: Removing camera shake from a single photograph. ACM Trans. Graph. 25(3): 787-794 (2006)

Amir Globerson, Sam T. Roweis: Nightmare at test time: robust learning by feature deletion. ICML 2006: 353-360

Nathan Srebro, Gregory Shakhnarovich, Sam T. Roweis: An investigation of computational and informational limits in Gaussian mixture clustering. ICML 2006: 865-872

Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Rachel Puckrin, Sean Cutler: Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure. NIPS 2006: 905-912

Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis: Modeling Dyadic Data with Binary Latent Factors. NIPS 2006: 977-984

Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis: Modeling Human Motion Using Binary Latent Variables. NIPS 2006: 1345-1352

Keir Mierle, Kevin Laven, Sam T. Roweis, Greg Wilson: Mining student CVS repositories for performance indicators. ACM SIGSOFT Software Engineering Notes 30(4): 1-5 (2005)

Kevin Laven, Scott Leishman, Sam T. Roweis: A Statistical Learning Approach To Document Image Analysis. ICDAR 2005: 357-361

Keir Mierle, Kevin Laven, Sam T. Roweis, Greg Wilson: Mining student CVS repositories for performance indicators. MSR 2005

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

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

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

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

Lawrence K. Saul, Sam T. Roweis: Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold. Journal of Machine Learning Research 4: 119-155 (2003)

Sam T. Roweis, Ruslan Salakhutdinov: Simultaneous Localization and Surveying with Multiple Agents. European Summer School on Multi-AgentControl 2003: 313-332

Ruslan Salakhutdinov, Sam T. Roweis: Adaptive Overrelaxed Bound Optimization Methods. ICML 2003: 664-671

Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani: Optimization with EM and Expectation-Conjugate-Gradient. ICML 2003: 672-679

Sam T. Roweis: Factorial models and refiltering for speech separation and denoising. INTERSPEECH 2003

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

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

Jakob J. Verbeek, Sam T. Roweis, Nikos A. Vlassis: Non-linear CCA and PCA by Alignment of Local Models. NIPS 2003

Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani: On the Convergence of Bound Optimization Algorithms. UAI 2003: 509-516

Sham Kakade, Yee Whye Teh, Sam T. Roweis: An Alternate Objective Function for Markovian Fields. ICML 2002: 275-282

Geoffrey E. Hinton, Sam T. Roweis: Stochastic Neighbor Embedding. NIPS 2002: 833-840

Yee Whye Teh, Sam T. Roweis: Automatic Alignment of Local Representations. NIPS 2002: 841-848

Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton: Global Coordination of Local Linear Models. NIPS 2001: 889-896

Sam T. Roweis: One Microphone Source Separation. NIPS 2000: 793-799

Leonard M. Adleman, Paul W. K. Rothemund, Sam T. Roweis, Erik Winfree: On Applying Molecular Computation to the Data Encryption Standard. Journal of Computational Biology 6(1): 53-63 (1999)

Sam T. Roweis, Erik Winfree: On the Reduction of Errors in DNA Computation. Journal of Computational Biology 6(1): 65-75 (1999)

Sam T. Roweis, Zoubin Ghahramani: A Unifying Review of Linear Gaussian Models. Neural Computation 11(2): 305-345 (1999)

Sam T. Roweis: Constrained Hidden Markov Models. NIPS 1999: 782-788

Sam T. Roweis, Erik Winfree, Richard Burgoyne, Nickolas V. Chelyapov, Myron F. Goodman, Paul W. K. Rothemund, Leonard M. Adleman: A Sticker-Based Model for DNA Computation. Journal of Computational Biology 5(4): 615-629 (1998)

Zoubin Ghahramani, Sam T. Roweis: Learning Nonlinear Dynamical Systems Using an EM Algorithm. NIPS 1998: 431-437

Sam T. Roweis, Abeer Alwan: Towards articulatory speech recognition: learning smooth maps to recover articulator information. EUROSPEECH 1997

John J. Hopfield, Carlos D. Brody, Sam T. Roweis: Computing with Action Potentials. NIPS 1997

Sam T. Roweis: EM Algorithms for PCA and SPCA. NIPS 1997