Mladen Kolar

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

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Mladen Kolar

University of Southern California

Verificeret mail på usc.edu - Startside

Machine learning Statistics


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Estimating time-varying networks M Kolar, L Song, A Ahmed, EP Xing The Annals of Applied Statistics, 94-123, 2010	372	2010
Time-varying dynamic bayesian networks L Song, M Kolar, E Xing Advances in neural information processing systems 22, 2009	257	2009
Efficient distributed learning with sparsity J Wang, M Kolar, N Srebro, T Zhang International conference on machine learning, 3636-3645, 2017	189	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	131	2019
Distributed multi-task learning J Wang, M Kolar, N Srerbo Artificial intelligence and statistics, 751-760, 2016	85	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	76	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	72	2012
Estimating sparse precision matrices from data with missing values M Kolar, EP Xing International Conference on Machine Learning, 635-642, 2012	61*	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	55	2017
ROCKET: Robust confidence intervals via Kendall’s tau for transelliptical graphical models RF Barber, M Kolar	52	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
Personalized federated learning: A unified framework and universal optimization techniques F Hanzely, B Zhao, M Kolar arXiv preprint arXiv:2102.09743, 2021	48	2021
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	47	2021
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
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	46	2014
Graph estimation from multi-attribute data M Kolar, H Liu, EP Xing Journal of Machine Learning Research, 2014	45	2014

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