Lawrence K. Saul

	2009
53		Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul: Matrix updates for perceptron training of continuous density hidden Markov models. ICML 2009: 20
52		Youngmin Cho, Lawrence K. Saul: Learning dictionaries of stable autoregressive models for audio scene analysis. ICML 2009: 22
51		Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker: Identifying suspicious URLs: an application of large-scale online learning. ICML 2009: 86
50		Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker: Beyond blacklists: learning to detect malicious web sites from suspicious URLs. KDD 2009: 1245-1254
49		Stuart Russell, Lawrence K. Saul: Technical perspective - The ultimate pilot program. Commun. ACM 52(7): 96 (2009)
	2008
48		Chih-Chieh Cheng, D. Jingtong Hu, Lawrence K. Saul: Nonnegative matrix factorization for real time musical analysis and sight-reading evaluation. ICASSP 2008: 2017-2020
47		Kilian Q. Weinberger, Lawrence K. Saul: Fast solvers and efficient implementations for distance metric learning. ICML 2008: 1160-1167
46		Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinberger, Lawrence K. Saul: Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data. ICMLA 2008: 388-395
	2007
45		Fei Sha, Y. Albert Park, Lawrence K. Saul: Multiplicative Updates for L1-Regularized Linear and Logistic Regression. IDA 2007: 13-24
44		Fei 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
42		Fei Sha, Lawrence K. Saul: Large Margin Hidden Markov Models for Automatic Speech Recognition. NIPS 2006: 1249-1256
41		Kilian Q. Weinberger, Fei Sha, Qihui Zhu, Lawrence K. Saul: Graph Laplacian Regularization for Large-Scale Semidefinite Programming. NIPS 2006: 1489-1496
40		Yun 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)
39		Kilian Q. Weinberger, Lawrence K. Saul: Unsupervised Learning of Image Manifolds by Semidefinite Programming. International Journal of Computer Vision 70(1): 77-90 (2006)
	2005
38		Fei Sha, Lawrence K. Saul: Analysis and extension of spectral methods for nonlinear dimensionality reduction. ICML 2005: 784-791
37		J. Ashley Burgoyne, Lawrence K. Saul: Learning Harmonic Relationships in Digital Audio with Dirichlet-Based Hidden Markov Models. ISMIR 2005: 438-443
36		Kilian 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
34		Kilian Q. Weinberger, Lawrence K. Saul: Unsupervised Learning of Image Manifolds by Semidefinite Programming. CVPR (2) 2004: 988-995
33		Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul: Learning a kernel matrix for nonlinear dimensionality reduction. ICML 2004
32		Yun Mao, Lawrence K. Saul: Modeling distances in large-scale networks by matrix factorization. Internet Measurement Conference 2004: 278-287
31		John Blitzer, Kilian Q. Weinberger, Lawrence K. Saul, Fernando Pereira: Hierarchical Distributed Representations for Statistical Language Modeling. NIPS 2004
30		Fei Sha, Lawrence K. Saul: Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization. NIPS 2004
	2003
29		Fei Sha, Lawrence K. Saul, Daniel D. Lee: Multiplicative Updates for Large Margin Classifiers. COLT 2003: 188-202
28		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)
	2002
27		Fei Sha, Lawrence K. Saul, Daniel D. Lee: Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines. NIPS 2002: 1041-1048
26		Lawrence 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
25		Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton: Global Coordination of Local Linear Models. NIPS 2001: 889-896
24		Lawrence K. Saul, Daniel D. Lee: Multiplicative Updates for Classification by Mixture Models. NIPS 2001: 897-904
23		Lawrence 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)
22		Mazin 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
15		Michael J. Kearns, Lawrence K. Saul: Inference in Multilayer Networks via Large Deviation Bounds. NIPS 1998: 260-266
14		Lawrence K. Saul, Mazin G. Rahim: Markov Processes on Curves for Automatic Speech Recognition. NIPS 1998: 751-760
13		Michael 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
11		Lawrence K. Saul, Fernando Pereira: Aggregate and mixed-order Markov models for statistical language processing CoRR cmp-lg/9706007: (1997)
	1996
10		Lawrence K. Saul, Satinder P. Singh: Learning Curve Bounds for a Markov Decision Process with Undiscounted Rewards. COLT 1996: 147-156
9		Lawrence K. Saul, Michael I. Jordan: A Variational Principle for Model-based Morphing. NIPS 1996: 267-273
8		Michael I. Jordan, Zoubin Ghahramani, Lawrence K. Saul: Hidden Markov Decision Trees. NIPS 1996: 501-507
7		Lawrence 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
5		Lawrence K. Saul, Satinder P. Singh: Markov Decision Processes in Large State Spaces. COLT 1995: 281-288
4		Lawrence K. Saul, Michael I. Jordan: Exploiting Tractable Substructures in Intractable Networks. NIPS 1995: 486-492
3		Tommi Jaakkola, Lawrence K. Saul, Michael I. Jordan: Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks. NIPS 1995: 528-534
	1994
2		Lawrence K. Saul, Michael I. Jordan: Boltzmann Chains and Hidden Markov Models. NIPS 1994: 435-442
1		Lawrence K. Saul, Michael I. Jordan: Learning in Boltzmann Trees. Neural Computation 6(6): 1174-1184 (1994)

Coauthor Index

1	Jont B. Allen	[21] [23]
2	John Blitzer	[31] [36]
3	Bruce Buntschuh	[22]
4	J. Ashley Burgoyne	[37]
5	Chih-Chieh Cheng	[48] [53]
6	Youngmin Cho	[52]
7	Zoubin Ghahramani	[8] [17]
8	Allen L. Gorin	[22]
9	Geoffrey E. Hinton	[25]
10	D. Jingtong Hu	[48]
11	Pincelli M. Hull	[46]
12	Charles Lee Isbell Jr. (Charles L. Isbell)	[26]
13	Tommi Jaakkola	[3] [6] [7] [17]
14	Michael I. Jordan	[1] [2] [3] [4] [6] [7] [8] [9] [17] [18] [19]
15	Michael J. Kearns	[13] [15]
16	Yann LeCun	[26]
17	Daniel D. Lee	[24] [26] [27] [29] [44]
18	Joshua M. Lewis	[46]
19	Yuanqing Lin	[44]
20	Justin Ma	[50] [51]
21	Yun Mao	[32] [40]
22	Y. Albert Park	[45]
23	Fernando Pereira	[11] [31]
24	Mazin G. Rahim	[12] [14] [20] [22] [23]
25	Giuseppe Riccardi	[22]
26	Sam T. Roweis	[25] [28]
27	Stuart Russell	[49]
28	Stefan Savage	[50] [51]
29	Bernhard Schölkopf	[35]
30	Fei Sha	[27] [29] [30] [33] [38] [41] [42] [44] [45] [53]
31	Satinder P. Singh	[5] [10]
32	Jonathan M. Smith	[40]
33	Sebastian Thrun	[35]
34	Geoffrey M. Voelker	[50] [51]
35	Kilian Q. Weinberger	[31] [33] [34] [36] [39] [41] [43] [46] [47]
36	Jeremy H. Wright	[22]
37	Qihui Zhu	[41]

Colors in the list of coauthors