Karthik Mohan

Citata da

	Tutte	Dal 2019
Citazioni	1358	622
Indice H	8	8
i10-index	8	8

140

105

2011201220132014201520162017201820192020202120222023202418 38 66 89 125 120 130 138 138 113 124 89 79 78

Accesso pubblico

Visualizza tutto

3 articoli

0 articoli

Disponibili

Non disponibili

In base ai mandati di finanziamento

Coautori

Maryam FazelMoorthy Family Professor of Electrical and Computer Engineering, University of WashingtonEmail verificata su uw.edu
Su-In LeeComputer Science & Engineering, University of WashingtonEmail verificata su cs.washington.edu
Daniela WittenProfessor of Statistics & Biostatistics, Dorothy Gilford Endowed Chair, University of WashingtonEmail verificata su u.washington.edu
Palma LondonUCSD, Postdoctoral ScholarEmail verificata su caltech.edu
Kean Ming TanDepartment of Statistics, University of MichiganEmail verificata su umich.edu
Samet OymakEECS Prof @ University of MichiganEmail verificata su umich.edu
Seungyeop HanRubrik, Inc.Email verificata su cs.washington.edu
Michael Jae-Yoon ChungUniversity of WashingtonEmail verificata su cs.washington.edu
Ofer DekelMicrosoft ResearchEmail verificata su microsoft.com

Segui

Karthik Mohan

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

Email verificata su uw.edu

Machine Learning NLP Anamoly Detection Hyper-parameter optimization


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Iterative reweighted algorithms for matrix rank minimization K Mohan, M Fazel The Journal of Machine Learning Research 13 (1), 3441-3473, 2012	523	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	234	2014
Reweighted nuclear norm minimization with application to system identification K Mohan, M Fazel Proceedings of the 2010 American Control Conference, 2953-2959, 2010	196	2010
Learning graphical models with hubs KM Tan, P London, K Mohan, SI Lee, M Fazel, D Witten arXiv preprint arXiv:1402.7349, 2014	113	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	101	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	14	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

Il sistema al momento non può eseguire l'operazione. Riprova più tardi.

Articoli 1–12

Citazioni per anno

Citazioni duplicate

Citazioni unite

Aggiungi coautoriCoautori

Segui

Citata da

Coautori