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Lawrence K. Saul Vis

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*2009
51EEChih-Chieh Cheng, Fei Sha, Lawrence K. Saul: Matrix updates for perceptron training of continuous density hidden Markov models. ICML 2009: 20
50EEYoungmin Cho, Lawrence K. Saul: Learning dictionaries of stable autoregressive models for audio scene analysis. ICML 2009: 22
49EEJustin Ma, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker: Identifying suspicious URLs: an application of large-scale online learning. ICML 2009: 86
48EEJustin Ma, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker: Beyond blacklists: learning to detect malicious web sites from suspicious URLs. KDD 2009: 1245-1254
47EEStuart Russell, Lawrence K. Saul: Technical perspective - The ultimate pilot program. Commun. ACM 52(7): 96 (2009)
2008
46EEKilian Q. Weinberger, Lawrence K. Saul: Fast solvers and efficient implementations for distance metric learning. ICML 2008: 1160-1167
2007
45EEFei Sha, Y. Albert Park, Lawrence K. Saul: Multiplicative Updates for L1-Regularized Linear and Logistic Regression. IDA 2007: 13-24
44EEFei Sha, Yuanqing Lin, Lawrence K. Saul, Daniel D. Lee: Multiplicative Updates for Nonnegative Quadratic Programming. Neural Computation 19(8): 2004-2031 (2007)
2006
43 Kilian Q. Weinberger, Lawrence K. Saul: An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding. AAAI 2006
42EEFei Sha, Lawrence K. Saul: Large Margin Hidden Markov Models for Automatic Speech Recognition. NIPS 2006: 1249-1256
41EEKilian Q. Weinberger, Fei Sha, Qihui Zhu, Lawrence K. Saul: Graph Laplacian Regularization for Large-Scale Semidefinite Programming. NIPS 2006: 1489-1496
40EEYun Mao, Lawrence K. Saul, Jonathan M. Smith: IDES: An Internet Distance Estimation Service for Large Networks. IEEE Journal on Selected Areas in Communications 24(12): 2273-2284 (2006)
39EEKilian Q. Weinberger, Lawrence K. Saul: Unsupervised Learning of Image Manifolds by Semidefinite Programming. International Journal of Computer Vision 70(1): 77-90 (2006)
2005
38EEFei Sha, Lawrence K. Saul: Analysis and extension of spectral methods for nonlinear dimensionality reduction. ICML 2005: 784-791
37EEJ. Ashley Burgoyne, Lawrence K. Saul: Learning Harmonic Relationships in Digital Audio with Dirichlet-Based Hidden Markov Models. ISMIR 2005: 438-443
36EEKilian Q. Weinberger, John Blitzer, Lawrence K. Saul: Distance Metric Learning for Large Margin Nearest Neighbor Classification. NIPS 2005
2004
35 Sebastian Thrun, Lawrence K. Saul, Bernhard Schölkopf: Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, NIPS 2003, December 8-13, 2003, Vancouver and Whistler, British Columbia, Canada] MIT Press 2004
34EEKilian Q. Weinberger, Lawrence K. Saul: Unsupervised Learning of Image Manifolds by Semidefinite Programming. CVPR (2) 2004: 988-995
33EEKilian Q. Weinberger, Fei Sha, Lawrence K. Saul: Learning a kernel matrix for nonlinear dimensionality reduction. ICML 2004
32EEYun Mao, Lawrence K. Saul: Modeling distances in large-scale networks by matrix factorization. Internet Measurement Conference 2004: 278-287
31EEJohn Blitzer, Kilian Q. Weinberger, Lawrence K. Saul, Fernando Pereira: Hierarchical Distributed Representations for Statistical Language Modeling. NIPS 2004
30EEFei Sha, Lawrence K. Saul: Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization. NIPS 2004
2003
29EEFei Sha, Lawrence K. Saul, Daniel D. Lee: Multiplicative Updates for Large Margin Classifiers. COLT 2003: 188-202
28EELawrence K. Saul, Sam T. Roweis: Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold. Journal of Machine Learning Research 4: 119-155 (2003)
2002
27EEFei Sha, Lawrence K. Saul, Daniel D. Lee: Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines. NIPS 2002: 1041-1048
26EELawrence K. Saul, Daniel D. Lee, Charles L. Isbell, Yann LeCun: Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch. NIPS 2002: 1181-1188
2001
25EESam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton: Global Coordination of Local Linear Models. NIPS 2001: 889-896
24EELawrence K. Saul, Daniel D. Lee: Multiplicative Updates for Classification by Mixture Models. NIPS 2001: 897-904
23EELawrence K. Saul, Mazin G. Rahim, Jont B. Allen: A statistical model for robust integration of narrowband cues in speech. Computer Speech & Language 15(2): 175-194 (2001)
22EEMazin G. Rahim, Giuseppe Riccardi, Lawrence K. Saul, Jeremy H. Wright, Bruce Buntschuh, Allen L. Gorin: Robust numeric recognition in spoken language dialogue. Speech Communication 34(1-2): 195-212 (2001)
2000
21 Lawrence K. Saul, Jont B. Allen: Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in Speech. NIPS 2000: 807-813
20 Lawrence K. Saul, Mazin G. Rahim: Markov Processes on Curves. Machine Learning 41(3): 345-363 (2000)
19 Lawrence K. Saul, Michael I. Jordan: Attractor Dynamics in Feedforward Neural Networks. Neural Computation 12(6): 1313-1335 (2000)
1999
18 Lawrence K. Saul, Michael I. Jordan: Mixed Memory Markov Models: Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones. Machine Learning 37(1): 75-87 (1999)
17 Michael I. Jordan, Zoubin Ghahramani, Tommi Jaakkola, Lawrence K. Saul: An Introduction to Variational Methods for Graphical Models. Machine Learning 37(2): 183-233 (1999)
1998
16 Lawrence K. Saul: Automatic Segmentation of Continuous Trajectories with Invariance to Nonlinear Warpings of Time. ICML 1998: 506-514
15EEMichael J. Kearns, Lawrence K. Saul: Inference in Multilayer Networks via Large Deviation Bounds. NIPS 1998: 260-266
14EELawrence K. Saul, Mazin G. Rahim: Markov Processes on Curves for Automatic Speech Recognition. NIPS 1998: 751-760
13EEMichael J. Kearns, Lawrence K. Saul: Large Deviation Methods for Approximate Probabilistic Inference. UAI 1998: 311-319
1997
12 Lawrence K. Saul, Mazin G. Rahim: Modeling Acoustic Correlations by Factor Analysis. NIPS 1997
11EELawrence K. Saul, Fernando Pereira: Aggregate and mixed-order Markov models for statistical language processing CoRR cmp-lg/9706007: (1997)
1996
10EELawrence K. Saul, Satinder P. Singh: Learning Curve Bounds for a Markov Decision Process with Undiscounted Rewards. COLT 1996: 147-156
9EELawrence K. Saul, Michael I. Jordan: A Variational Principle for Model-based Morphing. NIPS 1996: 267-273
8EEMichael I. Jordan, Zoubin Ghahramani, Lawrence K. Saul: Hidden Markov Decision Trees. NIPS 1996: 501-507
7EELawrence K. Saul, Tommi Jaakkola, Michael I. Jordan: Mean Field Theory for Sigmoid Belief Networks CoRR cs.AI/9603102: (1996)
6 Lawrence K. Saul, Tommi Jaakkola, Michael I. Jordan: Mean Field Theory for Sigmoid Belief Networks. J. Artif. Intell. Res. (JAIR) 4: 61-76 (1996)
1995
5EELawrence K. Saul, Satinder P. Singh: Markov Decision Processes in Large State Spaces. COLT 1995: 281-288
4EELawrence K. Saul, Michael I. Jordan: Exploiting Tractable Substructures in Intractable Networks. NIPS 1995: 486-492
3EETommi Jaakkola, Lawrence K. Saul, Michael I. Jordan: Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks. NIPS 1995: 528-534
1994
2EELawrence K. Saul, Michael I. Jordan: Boltzmann Chains and Hidden Markov Models. NIPS 1994: 435-442
1EELawrence K. Saul, Michael I. Jordan: Learning in Boltzmann Trees. Neural Computation 6(6): 1174-1184 (1994)

Coauthor Index

1Jont B. Allen [21] [23]
2John Blitzer [31] [36]
3Bruce Buntschuh [22]
4J. Ashley Burgoyne [37]
5Chih-Chieh Cheng [51]
6Youngmin Cho [50]
7Zoubin Ghahramani [8] [17]
8Allen L. Gorin [22]
9Geoffrey E. Hinton [25]
10Charles Lee Isbell Jr. (Charles L. Isbell) [26]
11Tommi Jaakkola [3] [6] [7] [17]
12Michael I. Jordan [1] [2] [3] [4] [6] [7] [8] [9] [17] [18] [19]
13Michael J. Kearns [13] [15]
14Yann LeCun [26]
15Daniel D. Lee [24] [26] [27] [29] [44]
16Yuanqing Lin [44]
17Justin Ma [48] [49]
18Yun Mao [32] [40]
19Y. Albert Park [45]
20Fernando Pereira [11] [31]
21Mazin G. Rahim [12] [14] [20] [22] [23]
22Giuseppe Riccardi [22]
23Sam T. Roweis [25] [28]
24Stuart Russell [47]
25Stefan Savage [48] [49]
26Bernhard Schölkopf [35]
27Fei Sha [27] [29] [30] [33] [38] [41] [42] [44] [45] [51]
28Satinder P. Singh [5] [10]
29Jonathan M. Smith [40]
30Sebastian Thrun [35]
31Geoffrey M. Voelker [48] [49]
32Kilian Q. Weinberger [31] [33] [34] [36] [39] [41] [43] [46]
33Jeremy H. Wright [22]
34Qihui Zhu [41]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)