Mladen Kolar

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Katkıda bulunan yazarlar

Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon Ucs.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern Universitynorthwestern.edu üzerinde doğrulanmış e-posta adresine sahip
Le SongGenBio AI, Mohamed bin Zayed University of Artificial Intelligencembzuai.ac.ae üzerinde doğrulanmış e-posta adresine sahip
Sen NaAssistant Professor in Industrial and Systems Engineering, Georgia Techgatech.edu üzerinde doğrulanmış e-posta adresine sahip
Ming YuThe University of Chicago Booth School of Businesschicagobooth.edu üzerinde doğrulanmış e-posta adresine sahip
Boxin ZhaoUniversity of Chicagouchicago.edu üzerinde doğrulanmış e-posta adresine sahip
Jialei WangUniversity of Chicagouchicago.edu üzerinde doğrulanmış e-posta adresine sahip
Zhuoran YangYale Universityyale.edu üzerinde doğrulanmış e-posta adresine sahip
Varun GuptaAssociate Professor, Booth School of Business, University of Chicagouchicago.edu üzerinde doğrulanmış e-posta adresine sahip
Zhaoran WangAssociate Professor at Northwestern Universitynorthwestern.edu üzerinde doğrulanmış e-posta adresine sahip
Alessandro RinaldoThe University of Texas at Austinaustin.utexas.edu üzerinde doğrulanmış e-posta adresine sahip
Nathan SrebroProfessor, TTIC and University of Chicagottic.edu üzerinde doğrulanmış e-posta adresine sahip
Luofeng LiaoColumbia Universitycolumbia.edu üzerinde doğrulanmış e-posta adresine sahip
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon Universitycmu.edu üzerinde doğrulanmış e-posta adresine sahip
Sivaraman BalakrishnanCarnegie Mellon Universitystat.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon Universitystat.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Sanmi KoyejoAssistant Professor, Stanford Universitystanford.edu üzerinde doğrulanmış e-posta adresine sahip
Junwei LuAssistant Professor of Biostatistics, Harvard T.H. Chan School of Public Healthhsph.harvard.edu üzerinde doğrulanmış e-posta adresine sahip
Y. Samuel WangCornell Universitycornell.edu üzerinde doğrulanmış e-posta adresine sahip
Amr AhmedSenior Staff Research Scientist, Google AIgoogle.com üzerinde doğrulanmış e-posta adresine sahip

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Mladen Kolar

University of Southern California

usc.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Machine learning Statistics


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Estimating time-varying networks M Kolar, L Song, A Ahmed, EP Xing The Annals of Applied Statistics, 94-123, 2010	377	2010
Time-varying dynamic bayesian networks L Song, M Kolar, E Xing Advances in neural information processing systems 22, 2009	258	2009
Efficient distributed learning with sparsity J Wang, M Kolar, N Srebro, T Zhang International conference on machine learning, 3636-3645, 2017	193	2017
KELLER: estimating time-varying interactions between genes L Song, M Kolar, EP Xing Bioinformatics 25 (12), i128-i136, 2009	140	2009
Convergent policy optimization for safe reinforcement learning M Yu, Z Yang, M Kolar, Z Wang Advances in Neural Information Processing Systems 32, 2019	133	2019
Distributed multi-task learning J Wang, M Kolar, N Srerbo Artificial intelligence and statistics, 751-760, 2016	91	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	75	2009
Estimating networks with jumps M Kolar, EP Xing Electronic journal of statistics 6, 2069, 2012	73	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	56	2017
ROCKET: Robust confidence intervals via Kendall’s tau for transelliptical graphical models RF Barber, M Kolar	53	2018
Personalized federated learning: A unified framework and universal optimization techniques F Hanzely, B Zhao, M Kolar arXiv preprint arXiv:2102.09743, 2021	52	2021
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	52	2006
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	49	2021
Statistical inference for pairwise graphical models using score matching M Yu, V Gupta, M Kolar Advances in Neural Information Processing Systems 29, 2016	48	2016
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	47	2014
Feature selection in high-dimensional classification M Kolar, H Liu International Conference on Machine Learning, 329-337, 2013	47*	2013
Graph estimation from multi-attribute data M Kolar, H Liu, EP Xing Journal of Machine Learning Research, 2014	45	2014

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