Sotabase

Career

· Assistant Professor of Computer Science (AI), Oregon State University2021–
· Postdoctoral Researcher, UC Berkeley (Postdoctoral Scholar at CHAI)

Publications (39)

Iterative reweighted algorithms for matrix rank minimization
Journal of machine learning research · 2012
375
cited
Node-based learning of multiple Gaussian graphical models
Journal of machine learning research · 2013
211
cited
Graphical Models for Processing Missing Data
Journal of the American Statistical Association · 2018
204
cited
Reweighted nuclear norm minimization with application to system identification
Proceedings of the 2010 American Control Conference · 2010
174
cited
A simplified approach to recovery conditions for low rank matrices
IEEE International Symposium on Information Theory. Proceedings · 2011
106
cited
Learning graphical models with hubs
Journal of machine learning research · 2014
105
cited
Iterative reweighted least squares for matrix rank minimization
Allerton Conference on Communication, Control, and Computing · 2010
88
cited
Structured Learning of Gaussian Graphical Models
Neural Information Processing Systems · 2012
81
cited
Sequential random access codes and self-testing of quantum measurement instruments
New Journal of Physics · 2019
80
cited
Graphical Representation of Missing Data Problems
2015
70
cited
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data
Neural Information Processing Systems · 2014
58
cited
Missing Data as a Causal and Probabilistic Problem
Conference on Uncertainty in Artificial Intelligence · 2015
53
cited
New Restricted Isometry results for noisy low-rank recovery
2010 IEEE International Symposium on Information Theory · 2010
51
cited
On the Testability of Models with Missing Data
International Conference on Artificial Intelligence and Statistics · 2014
48
cited
Estimation with Incomplete Data: The Linear Case
International Joint Conference on Artificial Intelligence · 2018
29
cited
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data
Conference on Uncertainty in Artificial Intelligence · 2014
28
cited
Missing Data as a Causal Inference Problem
2013
19
cited
Recoverability and Testability of Missing Data: Introduction and Summary of Results
2013
19
cited
Causal Inference with Non-IID Data using Linear Graphical Models
Neural Information Processing Systems · 2022
16
cited
A post-processing scheme for malayalam using statistical sub-character language models
International Workshop on Document Analysis Systems · 2010
14
cited
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Karthika Mohan | Researcher Profile | Sotabase | Sotabase