# Lawrence K. Saul

Affiliations:- Flatiron Institute, New York, NY, USA
- University of California, San Diego, Department of Computer Science and Engineering, La Jolla, CA, USA (former)
- Massachusetts Institute of Technology (MIT), Cambridge, MA, USA (PhD 1994)

According to our database

Collaborative distances:

^{1}, Lawrence K. Saul authored at least 115 papers between 1994 and 2024.Collaborative distances:

## Timeline

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## Bibliography

2024

An Ordering of Divergences for Variational Inference with Factorized Gaussian Approximations.

CoRR, 2024

CoRR, 2024

2023

The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference.

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A geometrical connection between sparse and low-rank matrices and its application to manifold learning.

Trans. Mach. Learn. Res., 2022

SIAM J. Math. Data Sci., 2022

Commun. ACM, 2022

2021

Neural Comput., 2021

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Proceedings of the 2020 International Conference on Management of Data, 2020

Proceedings of the 4th ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2020

2019

Proceedings of the 2019 International Conference on Management of Data, 2019

Proceedings of the Internet Measurement Conference, 2019

"Unobserved Corner" Prediction: Reducing Timing Analysis Effort for Faster Design Convergence in Advanced-Node Design.

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Using Machine Learning to Predict Path-Based Slack from Graph-Based Timing Analysis.

Proceedings of the 36th IEEE International Conference on Computer Design, 2018

2017

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

HIV Risk on Twitter: the Ethical Dimension of Social Media Evidence-based Prevention for Vulnerable Populations.

Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016

On the (In)effectiveness of Mosaicing and Blurring as Tools for Document Redaction.

Proc. Priv. Enhancing Technol., 2016

Concurr. Comput. Pract. Exp., 2016

2015

Proceedings of the 2015 ACM Internet Measurement Conference, 2015

Proceedings of the 2015 ACM Internet Measurement Conference, 2015

2014

CoRR, 2014

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Proceedings of the 2014 Internet Measurement Conference, 2014

A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data.

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Proceedings of the 10th USENIX Symposium on Networked Systems Design and Implementation, 2013

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

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

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

ACM Trans. Intell. Syst. Technol., 2011

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

CoRR, 2011

CoRR, 2011

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Online learning of large margin hidden Markov models for automatic speech recognition.

Proceedings of the 2011 Symposium on Machine Learning in Speech and Language Processing, 2011

Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

Judging a site by its content: learning the textual, structural, and visual features of malicious web pages.

Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

2010

Convex Optimizations for Distance Metric Learning and Pattern Classification [Applications Corner].

IEEE Signal Process. Mag., 2010

Neural Comput., 2010

Online Learning and Acoustic Feature Adaptation in Large-Margin Hidden Markov Models.

IEEE J. Sel. Top. Signal Process., 2010

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

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

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Dataset, October, 2009

J. Mach. Learn. Res., 2009

Commun. ACM, 2009

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

A fast online algorithm for large margin training of continuous density hidden Markov models.

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

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

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models.

Proceedings of the IEEE International Conference on Acoustics, 2009

Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008

Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data.

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Proceedings of the Machine Learning, 2008

Nonnegative matrix factorization for real time musical analysis and sight-reading evaluation.

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Neural Comput., 2007

Multiplicative Updates for <i>L</i><sub>1</sub>-Regularized Linear and Logistic Regression.

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models.

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

IEEE J. Sel. Areas Commun., 2006

Int. J. Comput. Vis., 2006

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Large Margin Gaussian Mixture Modeling for Phonetic Classification and Recognition.

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding.

Proceedings of the Proceedings, 2006

Proceedings of the Semi-Supervised Learning, 2006

2005

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Learning Harmonic Relationships in Digital Audio with Dirichlet-Based Hidden Markov Models.

Proceedings of the ISMIR 2005, 2005

Analysis and extension of spectral methods for nonlinear dimensionality reduction.

Proceedings of the Machine Learning, 2005

Proceedings of the 2005 International Computer Music Conference, 2005

Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization.

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

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

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Proceedings of the 4th ACM SIGCOMM Internet Measurement Conference, 2004

Proceedings of the Machine Learning, 2004

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Exploratory analysis and visualization of speech and music by locally linear embedding.

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

J. Mach. Learn. Res., 2003

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines.

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

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

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Speech Commun., 2001

Comput. Speech Lang., 2001

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Maximum likelihood and minimum classification error factor analysis for automatic speech recognition.

IEEE Trans. Speech Audio Process., 2000

Neural Comput., 2000

Mach. Learn., 2000

Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in Speech.

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

Mixed Memory Markov Models: Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones.

Mach. Learn., 1999

Mach. Learn., 1999

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

1998

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Automatic Segmentation of Continuous Trajectories with Invariance to Nonlinear Warpings of Time.

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Proceedings of the Learning in Graphical Models, 1998

Proceedings of the Learning in Graphical Models, 1998

1997

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, 1997

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

1996

J. Artif. Intell. Res., 1996

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Proceedings of the Ninth Annual Conference on Computational Learning Theory, 1996

1995

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994

Neural Comput., 1994

Proceedings of the Advances in Neural Information Processing Systems 7, 1994