Karthik Mohan

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Maryam FazelMoorthy Family Professor of Electrical and Computer Engineering, University of WashingtonVerified email at uw.edu
Su-In LeeComputer Science & Engineering, University of WashingtonVerified email at cs.washington.edu
Daniela WittenProfessor of Statistics & Biostatistics, Dorothy Gilford Endowed Chair, University of WashingtonVerified email at u.washington.edu
Palma LondonUCSD, Postdoctoral ScholarVerified email at caltech.edu
Samet OymakUniversity of MichiganVerified email at umich.edu
Kean Ming TanDepartment of Statistics, University of MichiganVerified email at umich.edu
Seungyeop HanRubrik, Inc.Verified email at cs.washington.edu
Michael Jae-Yoon ChungUniversity of WashingtonVerified email at cs.washington.edu
Ofer DekelMicrosoft ResearchVerified email at microsoft.com

Karthik Mohan

Affiliate Professor, University of Washington Seattle. Research Scientist, Facebook, Redmond

Verified email at uw.edu

Machine Learning NLP Anamoly Detection Hyper-parameter optimization


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Iterative reweighted algorithms for matrix rank minimization K Mohan, M Fazel The Journal of Machine Learning Research 13 (1), 3441-3473, 2012	516	2012
Node-based learning of multiple Gaussian graphical models K Mohan, P London, M Fazel, D Witten, SI Lee The Journal of Machine Learning Research 15 (1), 445-488, 2014	233	2014
Reweighted nuclear norm minimization with application to system identification K Mohan, M Fazel Proceedings of the 2010 American Control Conference, 2953-2959, 2010	194	2010
Learning graphical models with hubs KM Tan, P London, K Mohan, SI Lee, M Fazel, D Witten arXiv preprint arXiv:1402.7349, 2014	112	2014
A simplified approach to recovery conditions for low rank matrices S Oymak, K Mohan, M Fazel, B Hassibi 2011 IEEE International Symposium on Information Theory Proceedings, 2318-2322, 2011	112	2011
Structured learning of Gaussian graphical models K Mohan, M Chung, S Han, D Witten, SI Lee, M Fazel Advances in neural information processing systems 25, 2012	100	2012
New restricted isometry results for noisy low-rank recovery K Mohan, M Fazel 2010 IEEE International Symposium on Information Theory, 1573-1577, 2010	58	2010
Best practices for data-efficient modeling in NLG: how to train production-ready neural models with less data A Arun, S Batra, V Bhardwaj, A Challa, P Donmez, P Heidari, H Inan, ... arXiv preprint arXiv:2011.03877, 2020	10	2020
Online bipartite matching with partially-bandit feedback K Mohan, O Dekel Proceedings of NIPS workshop on Discrete optimization in Machine Learning …, 2011	4	2011
Learning structured matrices in high dimensions: Low rank estimation and structured graphical models K Mohan	2	2015
ADMM algorithm for graphical lasso with an l∞ element-wise norm constraint K Mohan arXiv preprint arXiv:1311.7198, 2013	1	2013
ADMM Algorithm for Graphical Lasso with an Element-wise Norm Constraint K Mohan arXiv preprint arXiv:1311.7198, 2013		2013

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