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All publications by Lawrence K. Saul
authors venues years

**A Variational Approximation for Topic Modeling of Hierarchical Corpora**

*Do-kyum Kim*, *Geoffrey Voelker* and *Lawrence K. Saul*

Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013

**Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning**

*Matthew Der* and *Lawrence K. Saul*

Advances in Neural Information Processing Systems 25, 2012

**Maximum Covariance Unfolding : Manifold Learning for Bimodal Data**

*Vijay Mahadevan*, *Chi W. Wong*, *Jose C. Pereira*, *Tom Liu*, *Nuno Vasconcelos* and *Lawrence K. Saul*

Advances in Neural Information Processing Systems 24, 2011

**Hidden-Unit Conditional Random Fields**

*Laurens Maaten*, *Max Welling* and *Lawrence K. Saul*

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011

**Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development**

*Diane Hu*, *Laurens Maaten*, *Youngmin Cho*, *Sorin Lerner* and *Lawrence K. Saul*

Advances in Neural Information Processing Systems 23, 2010

**Exploiting Feature Covariance in High-Dimensional Online Learning**

*Justin Ma*, *Alex Kulesza*, *Mark Dredze*, *Koby Crammer*, *Lawrence K. Saul* and *Fernando Pereira*

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010

**Distance Metric Learning for Large Margin Nearest Neighbor Classification**

*Kilian Q. Weinberger* and *Lawrence K. Saul*

Journal of Machine Learning Research, 2009

**Identifying suspicious URLs: an application of large-scale
online learning**

*Justin Ma*, *Lawrence K. Saul*, *Stefan Savage* and *Geoffrey M. Voelker*

Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009

**Learning dictionaries of stable autoregressive models for
audio scene analysis**

*Youngmin Cho* and *Lawrence K. Saul*

Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009

**Matrix updates for perceptron training of continuous density
hidden Markov models**

*Chih-chieh Cheng*, *Fei Sha* and *Lawrence K. Saul*

Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009

**Kernel Methods for Deep Learning**

*Youngmin Cho* and *Lawrence K. Saul*

Advances in Neural Information Processing Systems 22, 2009

**Fast solvers and efficient implementations for distance metric learning**

*Kilian Q. Weinberger* and *Lawrence K. Saul*

Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

**Graph Laplacian Regularization for Large-Scale Semidefinite Programming**

*Kilian Q. Weinberger*, *Fei Sha*, *Qihui Zhu* and *Lawrence K. Saul*

Advances in Neural Information Processing Systems 19, 2006

**Large Margin Hidden Markov Models for Automatic Speech Recognition**

*Fei Sha* and *Lawrence K. Saul*

Advances in Neural Information Processing Systems 19, 2006

**Analysis and extension of spectral methods for nonlinear dimensionality reduction**

*Fei Sha* and *Lawrence K. Saul*

Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005

**Distance Metric Learning for Large Margin Nearest Neighbor Classification**

*Kilian Q. Weinberger*, *John Blitzer* and *Lawrence K. Saul*

Advances in Neural Information Processing Systems 18, 2005

**Learning a kernel matrix for nonlinear dimensionality reduction**

*Kilian Q. Weinberger*, *Fei Sha* and *Lawrence K. Saul*

Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004

**Hierarchical Distributed Representations for Statistical Language Modeling**

*John Blitzer*, *Fernando Pereira*, *Kilian Q. Weinberger* and *Lawrence K. Saul*

Advances in Neural Information Processing Systems 17, 2004

**Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization**

*Fei Sha* and *Lawrence K. Saul*

Advances in Neural Information Processing Systems 17, 2004

**Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold**

*Lawrence K. Saul* and *Sam T. Roweis*

Journal of Machine Learning Research, 2003

**Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch**

*Lawrence K. Saul*, *Daniel D. Lee*, *Charles L. Isbell* and *Yann L. Cun*

Advances in Neural Information Processing Systems 15, 2002

**Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines**

*Fei Sha*, *Lawrence K. Saul* and *Daniel D. Lee*

Advances in Neural Information Processing Systems 15, 2002

**Multiplicative Updates for Classification by Mixture Models**

*Lawrence K. Saul* and *Daniel D. Lee*

Advances in Neural Information Processing Systems 14, 2001

**Global Coordination of Local Linear Models**

*Sam T. Roweis*, *Lawrence K. Saul* and *Geoffrey E. Hinton*

Advances in Neural Information Processing Systems 14, 2001