Mladen Kolar

Citata da

	Tutte	Dal 2016
Citazioni	1870	1192
Indice H	23	19
i10-index	44	35

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20072008200920102011201220132014201520162017201820192020202111 8 18 55 65 80 115 155 140 151 178 196 217 419 26

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Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityEmail verificata su cs.cmu.edu
Han LiuAssistant Professor, Operations Research and Financial Engineering, Princeton UniversityEmail verificata su princeton.edu
Le SongGeorgia Institute of TechnologyEmail verificata su cc.gatech.edu
Jialei WangUniversity of ChicagoEmail verificata su uchicago.edu
Ming YuThe University of Chicago Booth School of BusinessEmail verificata su chicagobooth.edu
Alessandro RinaldoCarnegie Mellon UniversityEmail verificata su cmu.edu
Zhaoran WangAssistant Professor at Northwestern UniversityEmail verificata su northwestern.edu
Nathan SrebroProfessor, TTIC and University of ChicagoEmail verificata su ttic.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityEmail verificata su stat.cmu.edu
Aarti SinghAssociate Professor of Machine Learning Department, Carnegie Mellon UniversityEmail verificata su cmu.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityEmail verificata su stat.cmu.edu
Amr AhmedSenior Staff Research Scientist, Google AIEmail verificata su google.com
Sen NaPhD candidate of University of ChicagoEmail verificata su uchicago.edu
Bojana Dalbelo BasicUniversity of Zagreb Faculty of Electrical Engineering and ComputingEmail verificata su fer.hr
Jan SnajderAssoc. Prof, University of Zagreb, FER, CroatiaEmail verificata su fer.hr
You-Lin ChenUniversity of Chicago, Department of StatisticsEmail verificata su uchicago.edu
Varun GuptaAssistant Professor, Booth School of Business, University of ChicagoEmail verificata su uchicago.edu
Sasa PetrovicUniversity of EdinburghEmail verificata su ed.ac.uk
James SharpnackUC Davis Statistics DepartmentEmail verificata su ucdavis.edu
Rina Foygel BarberUniversity of ChicagoEmail verificata su uchicago.edu

Mladen Kolar

The University of Chicago, Booth School of Business

Email verificata su chicagobooth.edu - Home page

Machine learning Statistics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Estimating time-varying networks M Kolar, L Song, A Ahmed, EP Xing Annals of Applied Statistics 4 (1), 94-123, 2010	294	2010
Time-varying dynamic bayesian networks L Song, M Kolar, E Xing Advances in neural information processing systems 22, 1732-1740, 2009	209	2009
KELLER: estimating time-varying interactions between genes L Song, M Kolar, EP Xing Bioinformatics 25 (12), i128-i136, 2009	113	2009
Coauthorship and citation networks for statisticians P Ji, J Jin The Annals of Applied Statistics 10 (4), 1779-1812, 2016	78	2016
Sparsistent learning of varying-coefficient models with structural changes M Kolar, L Song, EP Xing Proceedings of the 22nd International Conference on Neural Information …, 2009	68	2009
Minimax localization of structural information in large noisy matrices M Kolar, S Balakrishnan, A Rinaldo, A Singh Carnegie Mellon University, 2011	64	2011
Efficient distributed learning with sparsity J Wang, M Kolar, N Srebro, T Zhang International Conference on Machine Learning, 3636-3645, 2017	57	2017
On time varying undirected graphs M Kolar, E Xing Proceedings of the Fourteenth International Conference on Artificial …, 2011	55	2011
Estimating networks with jumps M Kolar, EP Xing Electronic journal of statistics 6, 2069, 2012	53	2012
Distributed multi-task learning J Wang, M Kolar, N Srerbo Artificial intelligence and statistics, 751-760, 2016	50	2016
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	43	2006
Feature selection in high-dimensional classification M Kolar, H Liu International Conference on Machine Learning, 329-337, 2013	38*	2013
Statistical and computational tradeoffs in biclustering S Balakrishnan, M Kolar, A Rinaldo, A Singh, L Wasserman NIPS 2011 workshop on computational trade-offs in statistical learning 4, 2011	38	2011
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	35	2017
Rocket: Robust confidence intervals via kendall’s tau for transelliptical graphical models RF Barber, M Kolar Annals of Statistics 46 (6B), 3422-3450, 2018	34	2018
Union Support Recovery in Multi-task Learning. M Kolar, J Lafferty, L Wasserman Journal of Machine Learning Research 12 (7), 2011	34	2011
On sparse nonparametric conditional covariance selection M Kolar, A P Parikh, E P Xing Carnegie Mellon University, 2010	32	2010
Berry-Esseen bounds for estimating undirected graphs L Wasserman, M Kolar, A Rinaldo Electronic Journal of Statistics 8 (1), 1188-1224, 2014	31*	2014
Statistical inference for pairwise graphical models using score matching M Yu, V Gupta, M Kolar Proceedings of the 30th International Conference on Neural Information …, 2016	29	2016
Graph estimation from multi-attribute data M Kolar, H Liu, EP Xing Journal of Machine Learning Research, 2014	29	2014

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