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Sam T. Roweis
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- affiliation: University of Toronto, Canada
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2010 – 2019
- 2012
- [i2]Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney:
Collaborative Filtering and the Missing at Random Assumption. CoRR abs/1206.5267 (2012) - [i1]Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani:
On the Convergence of Bound Optimization Algorithms. CoRR abs/1212.2490 (2012) - 2011
- [j9]Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis:
Two Distributed-State Models For Generating High-Dimensional Time Series. J. Mach. Learn. Res. 12: 1025-1068 (2011) - [c38]Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney:
Recommender Systems, Missing Data and Statistical Model Estimation. IJCAI 2011: 2686-2691
2000 – 2009
- 2008
- [c37]Edward Meeds, David A. Ross, Richard S. Zemel, Sam T. Roweis:
Learning stick-figure models using nonparametric Bayesian priors over trees. CVPR 2008 - [e2]William W. Cohen, Andrew McCallum, Sam T. Roweis:
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 [contents] - [e1]John C. Platt, Daphne Koller, Yoram Singer, Sam T. Roweis:
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 [contents] - 2007
- [j8]Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Peter Wong, Andrew Emili:
Difference detection in LC-MS data for protein biomarker discovery. Bioinform. 23(2): 198-204 (2007) - [c36]Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alexander J. Smola:
Convex Learning with Invariances. NIPS 2007: 1489-1496 - [c35]Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney:
Collaborative Filtering and the Missing at Random Assumption. UAI 2007: 267-275 - [c34]Amir Globerson, Sam T. Roweis:
Visualizing pairwise similarity via semidefinite programming. AISTATS 2007: 139-146 - 2006
- [j7]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) - [c33]Amir Globerson, Sam T. Roweis:
Nightmare at test time: robust learning by feature deletion. ICML 2006: 353-360 - [c32]Nathan Srebro, Gregory Shakhnarovich, Sam T. Roweis:
An investigation of computational and informational limits in Gaussian mixture clustering. ICML 2006: 865-872 - [c31]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 - [c30]Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis:
Modeling Dyadic Data with Binary Latent Factors. NIPS 2006: 977-984 - [c29]Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis:
Modeling Human Motion Using Binary Latent Variables. NIPS 2006: 1345-1352 - 2005
- [j6]Keir Mierle, Kevin Laven, Sam T. Roweis, Greg Wilson:
Mining student CVS repositories for performance indicators. ACM SIGSOFT Softw. Eng. Notes 30(4): 1-5 (2005) - [c28]Benjamin M. Marlin, Sam T. Roweis, Richard S. Zemel:
Unsupervised Learning with Non-Ignorable Missing Data. AISTATS 2005: 222-229 - [c27]Kannan Achan, Sam T. Roweis, Aaron Hertzmann, Brendan J. Frey:
A segment based probabilistic generative model of speech. ICASSP (5) 2005: 221-224 - [c26]Kevin Laven, Scott Leishman, Sam T. Roweis:
A Statistical Learning Approach To Document Image Analysis. ICDAR 2005: 357-361 - [c25]Keir Mierle, Kevin Laven, Sam T. Roweis, Greg Wilson:
Mining student CVS repositories for performance indicators. MSR 2005 - [c24]Amir Globerson, Sam T. Roweis:
Metric Learning by Collapsing Classes. NIPS 2005: 451-458 - [p1]Sam T. Roweis:
Automatic Speech Processing by Inference in Generative Models. Speech Separation by Humans and Machines 2005: 97-133 - 2004
- [c23]Jacob Goldberger, Sam T. Roweis:
Hierarchical Clustering of a Mixture Model. NIPS 2004: 505-512 - [c22]Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov:
Neighbourhood Components Analysis. NIPS 2004: 513-520 - [c21]Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili:
Multiple Alignment of Continuous Time Series. NIPS 2004: 817-824 - 2003
- [j5]Lawrence K. Saul, Sam T. Roweis:
Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold. J. Mach. Learn. Res. 4: 119-155 (2003) - [c20]Sam T. Roweis, Ruslan Salakhutdinov:
Simultaneous Localization and Surveying with Multiple Agents. European Summer School on Multi-AgentControl 2003: 313-332 - [c19]Ruslan Salakhutdinov, Sam T. Roweis:
Adaptive Overrelaxed Bound Optimization Methods. ICML 2003: 664-671 - [c18]Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani:
Optimization with EM and Expectation-Conjugate-Gradient. ICML 2003: 672-679 - [c17]Sam T. Roweis:
Factorial models and refiltering for speech separation and denoising. INTERSPEECH 2003: 1009-1012 - [c16]Jakob J. Verbeek, Sam T. Roweis, Nikos Vlassis:
Non-linear CCA and PCA by Alignment of Local Models. NIPS 2003: 297-304 - [c15]Radford M. Neal, Matthew J. Beal, Sam T. Roweis:
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models. NIPS 2003: 401-408 - [c14]Kannan Achan, Sam T. Roweis, Brendan J. Frey:
Probabilistic Inference of Speech Signals from Phaseless Spectrograms. NIPS 2003: 1393-1400 - [c13]Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani:
On the Convergence of Bound Optimization Algorithms. UAI 2003: 509-516 - 2002
- [c12]Sham M. Kakade, Yee Whye Teh, Sam T. Roweis:
An Alternate Objective Function for Markovian Fields. ICML 2002: 275-282 - [c11]Geoffrey E. Hinton, Sam T. Roweis:
Stochastic Neighbor Embedding. NIPS 2002: 833-840 - [c10]Yee Whye Teh, Sam T. Roweis:
Automatic Alignment of Local Representations. NIPS 2002: 841-848 - 2001
- [c9]Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton:
Global Coordination of Local Linear Models. NIPS 2001: 889-896 - 2000
- [c8]Sam T. Roweis:
One Microphone Source Separation. NIPS 2000: 793-799
1990 – 1999
- 1999
- [j4]Leonard M. Adleman, Paul W. K. Rothemund, Sam T. Roweis, Erik Winfree:
On Applying Molecular Computation to the Data Encryption Standard. J. Comput. Biol. 6(1): 53-63 (1999) - [j3]Sam T. Roweis, Erik Winfree:
On the Reduction of Errors in DNA Computation. J. Comput. Biol. 6(1): 65-75 (1999) - [j2]Sam T. Roweis, Zoubin Ghahramani:
A Unifying Review of Linear Gaussian Models. Neural Comput. 11(2): 305-345 (1999) - [c7]Sam T. Roweis:
Constrained Hidden Markov Models. NIPS 1999: 782-788 - 1998
- [j1]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. J. Comput. Biol. 5(4): 615-629 (1998) - [c6]Zoubin Ghahramani, Sam T. Roweis:
Learning Nonlinear Dynamical Systems Using an EM Algorithm. NIPS 1998: 431-437 - 1997
- [c5]Sam T. Roweis, Abeer Alwan:
Towards articulatory speech recognition: learning smooth maps to recover articulator information. EUROSPEECH 1997: 1227-1230 - [c4]John J. Hopfield, Carlos D. Brody, Sam T. Roweis:
Computing with Action Potentials. NIPS 1997: 166-172 - [c3]Sam T. Roweis:
EM Algorithms for PCA and SPCA. NIPS 1997: 626-632 - 1996
- [c2]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. DNA Based Computers 1996: 1-29 - [c1]Leonard M. Adleman, Paul W. K. Rothemund, Sam T. Roweis, Erik Winfree:
On applying molecular computation to the data encryption standard. DNA Based Computers 1996: 31-44
Coauthor Index
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