Mladen Kolar

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Coauteurs

Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Le SongGeorgia Institute of TechnologyAdresse e-mail validée de cc.gatech.edu
Han LiuAssistant Professor, Operations Research and Financial Engineering, Princeton UniversityAdresse e-mail validée de princeton.edu
Ming YuThe University of Chicago Booth School of BusinessAdresse e-mail validée de chicagobooth.edu
Jialei WangUniversity of ChicagoAdresse e-mail validée de uchicago.edu
Alessandro RinaldoCarnegie Mellon UniversityAdresse e-mail validée de cmu.edu
Zhaoran WangAssistant Professor at Northwestern UniversityAdresse e-mail validée de northwestern.edu
Nathan SrebroProfessor, TTIC and University of ChicagoAdresse e-mail validée de ttic.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityAdresse e-mail validée de stat.cmu.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityAdresse e-mail validée de stat.cmu.edu
Amr AhmedSenior Staff Research Scientist, Google AIAdresse e-mail validée de google.com
Bojana Dalbelo BasicUniversity of Zagreb Faculty of Electrical Engineering and ComputingAdresse e-mail validée de fer.hr
Sen NaPhD candidate of University of ChicagoAdresse e-mail validée de uchicago.edu
Jan SnajderAssoc. Prof, University of Zagreb, FER, CroatiaAdresse e-mail validée de fer.hr
Varun GuptaAssistant Professor, Booth School of Business, University of ChicagoAdresse e-mail validée de uchicago.edu
Sasa PetrovicUniversity of EdinburghAdresse e-mail validée de ed.ac.uk
James SharpnackUC Davis Statistics DepartmentAdresse e-mail validée de ucdavis.edu
Rina Foygel BarberUniversity of ChicagoAdresse e-mail validée de uchicago.edu
You-Lin ChenUniversity of Chicago, Department of StatisticsAdresse e-mail validée de uchicago.edu
Zhuoran YangPrinceton UniversityAdresse e-mail validée de princeton.edu

Mladen Kolar

The University of Chicago, Booth School of Business

Adresse e-mail validée de chicagobooth.edu - Page d'accueil

Machine learning Statistics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Estimating time-varying networks M Kolar, L Song, A Ahmed, EP Xing The Annals of Applied Statistics 4 (1), 94-123, 2010	288	2010
Time-varying dynamic bayesian networks L Song, M Kolar, E Xing Advances in neural information processing systems 22, 1732-1740, 2009	202	2009
KELLER: estimating time-varying interactions between genes L Song, M Kolar, EP Xing Bioinformatics 25 (12), i128-i136, 2009	112	2009
Coauthorship and citation networks for statisticians P Ji, J Jin The Annals of Applied Statistics 10 (4), 1779-1812, 2016	75	2016
Sparsistent learning of varying-coefficient models with structural changes M Kolar, L Song, E Xing Advances in neural information processing systems 22, 1006-1014, 2009	69	2009
Minimax localization of structural information in large noisy matrices M Kolar, S Balakrishnan, A Rinaldo, A Singh Advances in Neural Information Processing Systems, 909-917, 2011	63	2011
Estimating networks with jumps M Kolar, EP Xing Electronic journal of statistics 6, 2069, 2012	54	2012
On time varying undirected graphs M Kolar, E Xing Proceedings of the Fourteenth International Conference on Artificial …, 2011	53	2011
Efficient distributed learning with sparsity J Wang, M Kolar, N Srebro, T Zhang International Conference on Machine Learning, 3636-3645, 2017	52	2017
Distributed multi-task learning J Wang, M Kolar, N Srerbo Artificial Intelligence and Statistics, 751-760, 2016	49	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	42	2006
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
Feature selection in high-dimensional classification M Kolar, H Liu 30th International Conference on Machine Learning, ICML 2013, 2013	36*	2013
Union Support Recovery in Multi-task Learning. M Kolar, J Lafferty, L Wasserman Journal of Machine Learning Research 12 (7), 2011	36	2011
Rocket: Robust confidence intervals via kendall’s tau for transelliptical graphical models RF Barber, M Kolar The Annals of Statistics 46 (6B), 3422-3450, 2018	35	2018
Sketching meets random projection in the dual: A provable recovery algorithm for big and high-dimensional data J Wang, JD Lee, M Mahdavi, M Kolar, N Srebro Electronic Journal of Statistics 11 (2), 4896-4944, 2017	34	2017
Statistical inference for pairwise graphical models using score matching M Yu, M Kolar, V Gupta Advances in Neural Information Processing Systems 29, 2829-2837, 2016	31	2016
Berry-Esseen bounds for estimating undirected graphs L Wasserman, M Kolar, A Rinaldo Electronic Journal of Statistics 8 (1), 1188-1224, 2014	30*	2014
On sparse nonparametric conditional covariance selection M Kolar, A P Parikh, E P Xing Carnegie Mellon University, 2010	30	2010
Graph estimation from multi-attribute data M Kolar, H Liu, EP Xing Journal of Machine Learning Research, 2014	29	2014

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