Sotabase

Career

· Kiyo and Eiko Tomiyasu Professor of Computing and Mathematical Sciences and Electrical Engineering, California Institute of Technology2024–
· Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering, California Institute of Technology2012–2017
· Postdoctoral Researcher, University of California, Berkeley2011–2012
· Ph.D. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology2005–2011
· BA in Mathematics and BS in Electrical and Computer Engineering, Rice University2001–2005

Publications (100)

The Convex Geometry of Linear Inverse Problems
Foundations of Computational Mathematics · 2010
1,363
cited
Rank-Sparsity Incoherence for Matrix Decomposition
SIAM Journal on Optimization · 2009
1,131
cited
Latent variable graphical model selection via convex optimization
Allerton Conference on Communication, Control, and Computing · 2010
528
cited
An algebra of observables for de Sitter space
Journal of High Energy Physics · 2022
270
cited
Computational and statistical tradeoffs via convex relaxation
Proceedings of the National Academy of Sciences of the United States of America · 2012
224
cited
Sparse and low-rank matrix decompositions
Allerton Conference on Communication, Control, and Computing · 2009
174
cited
Complexity of Inference in Graphical Models
Conference on Uncertainty in Artificial Intelligence · 2008
129
cited
Symmetries and charges of general relativity at null boundaries
Journal of High Energy Physics · 2018
124
cited
Large N algebras and generalized entropy
Journal of High Energy Physics · 2022
112
cited
Question Decomposition Improves the Faithfulness of Model-Generated Reasoning
arXiv.org · 2023
108
cited
Relative entropy optimization and its applications
Mathematical programming · 2017
98
cited
Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting
SIAM Journal on Matrix Analysis and Applications · 2012
82
cited
Including contributions from entanglement islands to the reflected entropy
2020
82
cited
Regularization for Design
IEEE Transactions on Automatic Control · 2014
64
cited
The Convex algebraic geometry of linear inverse problems
Allerton Conference on Communication, Control, and Computing · 2010
59
cited
Anomalies in gravitational charge algebras of null boundaries and black hole entropy
2020
56
cited
Recovery of Sparse Probability Measures via Convex Programming
Neural Information Processing Systems · 2012
55
cited
Brown-York charges at null boundaries
Journal of High Energy Physics · 2021
52
cited
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis
IEEE Transactions on Signal Processing · 2008
46
cited
Newton Polytopes and Relative Entropy Optimization
Foundations of Computational Mathematics · 2018
44
cited
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Venkat Chandrasekaran | Researcher Profile | Sotabase | Sotabase