||Department of Computer Science and Engineering|
University of California, San Diego
9500 Gilman Drive, Mail Code 0404
La Jolla, CA 92093-0404
||Lawrence Saul is a Professor and Vice Chair in the Department of Computer Science and Engineering at
UC San Diego. His main research interests are in machine learning, high dimensional data analysis, and latent variable modeling.
He served previously as Editor-In-Chief for the Journal of Machine Learning Research and as program chair for the NeurIPS conference.
He received his A.B. in Physics from Harvard and his Ph.D. in Physics from M.I.T., and he worked previously at AT&T Labs and the University of Pennsylvania.
- L. K. Saul (2022). A nonlinear matrix decomposition for mining the zeros of sparse data.
To appear in SIAM Journal of Mathematics of Data Science.
- L. K. Saul (2021). An online passive-aggressive algorithm for difference-of-squares classification.
To appear in Advances in Neural Information Processing Systems 34.
- L. K. Saul (2021). An EM algorithm for capsule regression. Neural Computation 33(1):194-226.
- L. K. Saul (2020). A tractable latent variable model for nonlinear dimensionality reduction.
Proceedings of the National Academy of Sciences USA 117(27):15403-15408.