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Lawrence K. Saul - Publications

Affiliations: 
University of Pennsylvania, Philadelphia, PA, United States 
 Computer Science and Engineering University of California, San Diego, La Jolla, CA 
Area:
Machine learning, high dimensional data analysis
Website:
https://jacobsschool.ucsd.edu/faculty/profile?id=251
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46 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Saul LK. A tractable latent variable model for nonlinear dimensionality reduction. Proceedings of the National Academy of Sciences of the United States of America. 117: 15403-15408. PMID 32571935 DOI: 10.1073/Pnas.1916012117  0.417
2012 Der M, Saul LK. Latent coincidence analysis: A hidden variable model for distance metric learning Advances in Neural Information Processing Systems. 4: 3230-3238.  0.366
2011 Ma J, Saul LK, Savage S, Voelker GM. Learning to detect malicious URLs Acm Transactions On Intelligent Systems and Technology. 2. DOI: 10.1145/1961189.1961202  0.393
2011 Van Der Maaten L, Welling M, Saul LK. Hidden-unit conditional random fields Journal of Machine Learning Research. 15: 479-488.  0.307
2010 Cho Y, Saul LK. Large-margin classification in infinite neural networks. Neural Computation. 22: 2678-97. PMID 20608866 DOI: 10.1162/Neco_A_00018  0.391
2010 Sha F, Cheng C, Saul L. Margin based discriminative training techniques for automatic speech recognition. The Journal of the Acoustical Society of America. 127: 2041-2041. DOI: 10.1121/1.3385375  0.714
2010 Weinberger K, Sha F, Saul L. Convex optimizations for distance metric learning and pattern classification Ieee Signal Processing Magazine. 27: 146-150+158. DOI: 10.1109/Msp.2010.936013  0.776
2010 Cheng CC, Sha F, Saul LK. Online learning and acoustic feature adaptation in large-Margin hidden Markov models Ieee Journal On Selected Topics in Signal Processing. 4: 926-942. DOI: 10.1109/Jstsp.2010.2048607  0.73
2009 Ma J, Saul LK, Savage S, Voelker GM. Identifying suspicious URLs: An application of large-scale online learning Acm International Conference Proceeding Series. 382. DOI: 10.1145/1553374.1553462  0.351
2009 Cheng CC, Sha F, Saul LK. Matrix updates for perceptron training of continuous density hidden Markov models Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 153-160. DOI: 10.1145/1553374.1553394  0.69
2009 Cheng CC, Sha F, Saul LK. Large-margin feature adaptation for automatic speech recognition Proceedings of the 2009 Ieee Workshop On Automatic Speech Recognition and Understanding, Asru 2009. 87-92. DOI: 10.1109/ASRU.2009.5373320  0.706
2009 Cheng CC, Sha F, Saul LK. A fast online algorithm for large margin training of continuous density hidden Markov models Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 668-671.  0.713
2009 Weinberger KQ, Saul LK. Distance metric learning for large margin nearest neighbor classification Journal of Machine Learning Research. 10: 207-244.  0.701
2008 Lewis JM, Weinberger KQ, Hull PM, Saul LK. Mapping uncharted waters: Exploratory analysis, visualization, and clustering of oceanographic data Proceedings - 7th International Conference On Machine Learning and Applications, Icmla 2008. 388-395. DOI: 10.1109/ICMLA.2008.125  0.633
2008 Weinberger KQ, Saul LK. Fast solvers and efficient implementations for distance metric learning Proceedings of the 25th International Conference On Machine Learning. 1160-1167.  0.698
2007 Sha F, Lin Y, Saul LK, Lee DD. Multiplicative updates for nonnegative quadratic programming. Neural Computation. 19: 2004-31. PMID 17571937 DOI: 10.1162/Neco.2007.19.8.2004  0.733
2007 Sha F, Saul LK. Comparison of large margin training to other discriminative methods for phonetic recognition by hidden Markov models Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4. DOI: 10.1109/ICASSP.2007.366912  0.692
2007 Sha F, Saul LK. Large margin hidden Markov models for automatic speech recognition Advances in Neural Information Processing Systems. 1249-1256.  0.4
2007 Weinberger KQ, Sha F, Zhu Q, Saul LK. Graph Laplacian regularization for large-scale semidefinite programming Advances in Neural Information Processing Systems. 1489-1496.  0.621
2006 Mao Y, Saul LK, Smith JM. IDES: An internet distance estimation service for large networks Ieee Journal On Selected Areas in Communications. 24: 2273-2283. DOI: 10.1109/Jsac.2006.884026  0.349
2006 Weinberger KQ, Saul LK. Unsupervised learning of image manifolds by semidefinite programming International Journal of Computer Vision. 70: 77-90. DOI: 10.1007/S11263-005-4939-Z  0.658
2006 Weinberger KQ, Saul LK. An introduction to nonlinear dimensionality reduction by maximum variance unfolding Proceedings of the National Conference On Artificial Intelligence. 2: 1683-1686.  0.684
2006 Sha F, Saul LK. Large margin Gaussian mixture modeling for phonetic classification and recognition Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1.  0.361
2005 Saul LK. Graph-based methods for unsupervised and semi-supervised learning Proceedings of Asru 2005: 2005 Ieee Automatic Speech Recognition and Understanding Workshop. 2005: 14. DOI: 10.1109/ASRU.2005.1566469  0.317
2005 Weinberger KQ, Packer BD, Saul LK. Nonlinear dimensionality reduction by semidefinite programming and kernel matrix factorization Aistats 2005 - Proceedings of the 10th International Workshop On Artificial Intelligence and Statistics. 381-388.  0.676
2005 Blitzer J, Weinberger KQ, Saul LK, Pereira FCN. Hierarchical distributed representations for statistical language modeling Advances in Neural Information Processing Systems.  0.65
2004 Saul LK, Rowels ST. Think globally, fit locally: Unsupervised learning of low dimensional manifolds Journal of Machine Learning Research. 4: 119-155. DOI: 10.1162/153244304322972667  0.448
2004 Weinberger KQ, Sha F, Saul LK. Learning a kernel matrix for nonlinear dimensionality reduction Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 839-846.  0.637
2004 Sha F, Burgoyne JA, Saul LK. Multiband statistical learning for F 0 estimation in speech Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5.  0.306
2003 Sha F, Saul LK, Lee DD. Multiplicative updates for large margin classifiers Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2777: 188-202.  0.697
2002 Saul LK, Lee DD. Multiplicative updates for classification by mixture models Advances in Neural Information Processing Systems.  0.417
2001 Rahim M, Riccardi G, Saul L, Wright J, Buntschuh B, Gorin A. Robust numeric recognition in spoken language dialogue Speech Communication. 34: 195-212. DOI: 10.1016/S0167-6393(00)00054-6  0.336
2001 Saul LK, Rahim MG, Allen JB. A statistical model for robust integration of narrowband cues in speech Computer Speech and Language. 15: 175-194. DOI: 10.1006/Csla.2001.0164  0.352
2000 Roweis ST, Saul LK. Nonlinear dimensionality reduction by locally linear embedding. Science (New York, N.Y.). 290: 2323-6. PMID 11125150 DOI: 10.1126/Science.290.5500.2323  0.394
2000 Saul LK, Jordan MI. Attractor dynamics in feedforward neural networks. Neural Computation. 12: 1313-35. PMID 10935715 DOI: 10.1162/089976600300015385  0.615
2000 Saul LK, Rahim MG. Maximum likelihood and minimum classification error factor analysis for automatic speech recognition Ieee Transactions On Speech and Audio Processing. 8: 115-125. DOI: 10.1109/89.824696  0.406
2000 Saul LK, Rahim MG. Markov processes on curves Machine Learning. 41: 345-363. DOI: 10.1023/A:1007604231716  0.336
1999 Jordan MI, Ghahramani Z, Jaakkola TS, Saul LK. Introduction to variational methods for graphical models Machine Learning. 37: 183-233. DOI: 10.1023/A:1007665907178  0.761
1999 Saul LK, Jordan MI. Mixed memory Markov models: Decomposing complex stochastic processes as mixtures of simpler ones Machine Learning. 37: 75-87. DOI: 10.1023/A:1007649326333  0.622
1997 Saul LK, Jordan MI. A variational principle for model-based morphing Advances in Neural Information Processing Systems. 267-273.  0.592
1997 Jordan MI, Ghahramanit Z, Saul LK. Hidden Markov decision trees Advances in Neural Information Processing Systems. 501-507.  0.557
1996 Saul LK, Jaakkola T, Jordan MI. Mean field theory for sigmoid belief networks Journal of Artificial Intelligence Research. 4: 61-76. DOI: 10.1613/Jair.251  0.691
1994 Saul L, Jordan MI. Learning in Boltzmann Trees Neural Computation. 6: 1174-1184. DOI: 10.1162/Neco.1994.6.6.1174  0.682
1994 Saul L, Kardar M. The 2D±J Ising spin glass: exact partition functions in polynomial time Nuclear Physics, Section B. 432: 641-667. DOI: 10.1016/0550-3213(94)90037-X  0.514
1993 Saul L, Kardar M. Exact integer algorithm for the two-dimensional +/-J Ising spin glass. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 48: R3221-R3224. PMID 9961089 DOI: 10.1103/Physreve.48.R3221  0.482
1992 Saul L, Kardar M, Read N. Directed waves in random media. Physical Review. A. 45: 8859-8866. PMID 9906988 DOI: 10.1103/Physreva.45.8859  0.452
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