Mladen Kolar

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Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerifierad e-postadress på cs.cmu.edu
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern UniversityVerifierad e-postadress på northwestern.edu
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerifierad e-postadress på biomap.com
Ming YuThe University of Chicago Booth School of BusinessVerifierad e-postadress på chicagobooth.edu
Sen NaAssistant Professor in Industrial and Systems Engineering, Georgia TechVerifierad e-postadress på gatech.edu
Jialei WangUniversity of ChicagoVerifierad e-postadress på uchicago.edu
Boxin ZhaoUniversity of ChicagoVerifierad e-postadress på uchicago.edu
Zhuoran YangYale UniversityVerifierad e-postadress på yale.edu
Varun GuptaAssociate Professor, Booth School of Business, University of ChicagoVerifierad e-postadress på uchicago.edu
Zhaoran WangAssociate Professor at Northwestern UniversityVerifierad e-postadress på northwestern.edu
Alessandro RinaldoThe University of Texas at AustinVerifierad e-postadress på austin.utexas.edu
Nathan SrebroProfessor, TTIC and University of ChicagoVerifierad e-postadress på ttic.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityVerifierad e-postadress på cmu.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityVerifierad e-postadress på stat.cmu.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityVerifierad e-postadress på stat.cmu.edu
Junwei LuAssistant Professor of Biostatistics, Harvard T.H. Chan School of Public HealthVerifierad e-postadress på hsph.harvard.edu
Luofeng LiaoColumbia UniversityVerifierad e-postadress på columbia.edu
Y. Samuel WangCornell UniversityVerifierad e-postadress på cornell.edu
Sanmi KoyejoAssistant Professor, Stanford UniversityVerifierad e-postadress på stanford.edu
Amr AhmedSenior Staff Research Scientist, Google AIVerifierad e-postadress på google.com

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Mladen Kolar

University of Southern California

Verifierad e-postadress på usc.edu - Startsida

Machine learning Statistics


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Estimating time-varying networks M Kolar, L Song, A Ahmed, EP Xing The Annals of Applied Statistics, 94-123, 2010	369	2010
Time-varying dynamic bayesian networks L Song, M Kolar, E Xing Advances in neural information processing systems 22, 2009	255	2009
Efficient distributed learning with sparsity J Wang, M Kolar, N Srebro, T Zhang International conference on machine learning, 3636-3645, 2017	183	2017
KELLER: estimating time-varying interactions between genes L Song, M Kolar, EP Xing Bioinformatics 25 (12), i128-i136, 2009	139	2009
Convergent policy optimization for safe reinforcement learning M Yu, Z Yang, M Kolar, Z Wang Advances in Neural Information Processing Systems 32, 2019	128	2019
Distributed multi-task learning J Wang, M Kolar, N Srerbo Artificial intelligence and statistics, 751-760, 2016	83	2016
On time varying undirected graphs M Kolar, EP Xing Proceedings of the Fourteenth International Conference on Artificial …, 2011	76	2011
Minimax localization of structural information in large noisy matrices M Kolar, S Balakrishnan, A Rinaldo, A Singh Advances in Neural Information Processing Systems 24, 2011	75	2011
Sparsistent learning of varying-coefficient models with structural changes M Kolar, L Song, E Xing Advances in neural information processing systems 22, 2009	74	2009
Estimating networks with jumps M Kolar, EP Xing Electronic journal of statistics 6, 2069, 2012	71	2012
Estimating sparse precision matrices from data with missing values M Kolar, EP Xing International Conference on Machine Learning, 635-642, 2012	60*	2012
Sketching meets random projection in the dual: A provable recovery algorithm for big and high-dimensional data J Wang, J Lee, M Mahdavi, M Kolar, N Srebro Artificial Intelligence and Statistics, 1150-1158, 2017	54	2017
ROCKET: Robust confidence intervals via Kendall’s tau for transelliptical graphical models RF Barber, M Kolar	51	2018
Comparison of collocation extraction measures for document indexing S Petrovic, J Snajder, B Dalbelo-Basic, M Kolar 28th International Conference on Information Technology Interfaces, 2006 …, 2006	51	2006
Statistical inference for pairwise graphical models using score matching M Yu, V Gupta, M Kolar Advances in Neural Information Processing Systems 29, 2016	47	2016
Feature selection in high-dimensional classification M Kolar, H Liu International Conference on Machine Learning, 329-337, 2013	47*	2013
Instrumental variable value iteration for causal offline reinforcement learning L Liao, Z Fu, Z Yang, Y Wang, M Kolar, Z Wang arXiv preprint arXiv:2102.09907, 2021	45	2021
Personalized federated learning: A unified framework and universal optimization techniques F Hanzely, B Zhao, M Kolar arXiv preprint arXiv:2102.09743, 2021	44	2021
A general framework for robust testing and confidence regions in high-dimensional quantile regression T Zhao, M Kolar, H Liu arXiv preprint arXiv:1412.8724, 2014	44	2014
Graph estimation from multi-attribute data M Kolar, H Liu, EP Xing Journal of Machine Learning Research, 2014	44	2014

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