Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
Sam T. Roweis
2010 – today
- 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
[j10]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)
[c33]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
[c32]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 (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
[e1]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- 2007
[j9]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)
[j8]Amir Globerson, Sam T. Roweis: Visualizing pairwise similarity via semidefinite programming. Journal of Machine Learning Research - Proceedings Track 2: 139-146 (2007)
[c31]Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alex J. Smola: Convex Learning with Invariances. NIPS 2007
[c30]Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney: Collaborative Filtering and the Missing at Random Assumption. UAI 2007: 267-275- 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)
[c29]Amir Globerson, Sam T. Roweis: Nightmare at test time: robust learning by feature deletion. ICML 2006: 353-360
[c28]Nathan Srebro, Gregory Shakhnarovich, Sam T. Roweis: An investigation of computational and informational limits in Gaussian mixture clustering. ICML 2006: 865-872
[c27]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
[c26]Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis: Modeling Dyadic Data with Binary Latent Factors. NIPS 2006: 977-984
[c25]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 Software Engineering Notes 30(4): 1-5 (2005)
[c24]Kevin Laven, Scott Leishman, Sam T. Roweis: A Statistical Learning Approach To Document Image Analysis. ICDAR 2005: 357-361
[c23]Keir Mierle, Kevin Laven, Sam T. Roweis, Greg Wilson: Mining student CVS repositories for performance indicators. MSR 2005
[c22]- 2004
[c21]
[c20]Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov: Neighbourhood Components Analysis. NIPS 2004
[c19]Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili: Multiple Alignment of Continuous Time Series. NIPS 2004- 2003
[j5]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)
[c18]Sam T. Roweis, Ruslan Salakhutdinov: Simultaneous Localization and Surveying with Multiple Agents. European Summer School on Multi-AgentControl 2003: 313-332
[c17]Ruslan Salakhutdinov, Sam T. Roweis: Adaptive Overrelaxed Bound Optimization Methods. ICML 2003: 664-671
[c16]Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani: Optimization with EM and Expectation-Conjugate-Gradient. ICML 2003: 672-679
[c15]Sam T. Roweis: Factorial models and refiltering for speech separation and denoising. INTERSPEECH 2003
[c14]Kannan Achan, Sam T. Roweis, Brendan J. Frey: Probabilistic Inference of Speech Signals from Phaseless Spectrograms. NIPS 2003
[c13]Radford M. Neal, Matthew J. Beal, Sam T. Roweis: Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models. NIPS 2003
[c12]Jakob J. Verbeek, Sam T. Roweis, Nikos A. Vlassis: Non-linear CCA and PCA by Alignment of Local Models. NIPS 2003
[c11]Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani: On the Convergence of Bound Optimization Algorithms. UAI 2003: 509-516- 2002
[c10]Sham Kakade, Yee Whye Teh, Sam T. Roweis: An Alternate Objective Function for Markovian Fields. ICML 2002: 275-282
[c9]
[c8]- 2001
[c7]Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton: Global Coordination of Local Linear Models. NIPS 2001: 889-896- 2000
[c6]
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. Journal of Computational Biology 6(1): 53-63 (1999)
[j3]Sam T. Roweis, Erik Winfree: On the Reduction of Errors in DNA Computation. Journal of Computational Biology 6(1): 65-75 (1999)
[j2]Sam T. Roweis, Zoubin Ghahramani: A Unifying Review of Linear Gaussian Models. Neural Computation 11(2): 305-345 (1999)
[c5]- 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. Journal of Computational Biology 5(4): 615-629 (1998)
[c4]Zoubin Ghahramani, Sam T. Roweis: Learning Nonlinear Dynamical Systems Using an EM Algorithm. NIPS 1998: 431-437- 1997
[c3]Sam T. Roweis, Abeer Alwan: Towards articulatory speech recognition: learning smooth maps to recover articulator information. EUROSPEECH 1997
[c2]
[c1]
Coauthor Index
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-10-02 11:01 CEST by the dblp team



