Mladen Kolar

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Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UE-mailová adresa ověřena na: cs.cmu.edu
Han LiuAssociate Professor, Department of Computer Science, Northwestern UniversityE-mailová adresa ověřena na: princeton.edu
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceE-mailová adresa ověřena na: biomap.com
Ming YuThe University of Chicago Booth School of BusinessE-mailová adresa ověřena na: chicagobooth.edu
Jialei WangUniversity of ChicagoE-mailová adresa ověřena na: uchicago.edu
Varun GuptaAssociate Professor, Booth School of Business, University of ChicagoE-mailová adresa ověřena na: uchicago.edu
Zhuoran YangYale UniversityE-mailová adresa ověřena na: yale.edu
Alessandro RinaldoCarnegie Mellon UniversityE-mailová adresa ověřena na: andrew.cmu.edu
Zhaoran WangAssistant Professor at Northwestern UniversityE-mailová adresa ověřena na: northwestern.edu
Nathan SrebroProfessor, TTIC and University of ChicagoE-mailová adresa ověřena na: ttic.edu
Boxin ZhaoUniversity of ChicagoE-mailová adresa ověřena na: uchicago.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityE-mailová adresa ověřena na: cmu.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityE-mailová adresa ověřena na: stat.cmu.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityE-mailová adresa ověřena na: stat.cmu.edu
Junwei LuAssistant Professor of Biostatistics, Harvard T.H. Chan School of Public HealthE-mailová adresa ověřena na: hsph.harvard.edu
Amr AhmedSenior Staff Research Scientist, Google AIE-mailová adresa ověřena na: google.com
Luofeng LiaoColumbia UniversityE-mailová adresa ověřena na: columbia.edu
Sanmi KoyejoAssistant Professor, Stanford UniversityE-mailová adresa ověřena na: stanford.edu
Rina Foygel BarberUniversity of ChicagoE-mailová adresa ověřena na: uchicago.edu
Mihai AnitescuSenior Computational Mathematician, Argonne National LaboratoryE-mailová adresa ověřena na: mcs.anl.gov

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Mladen Kolar

The University of Chicago, Booth School of Business

E-mailová adresa ověřena na: chicagobooth.edu - Domovská stránka

Machine learning Statistics


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
Estimating time-varying networks M Kolar, L Song, A Ahmed, EP Xing The Annals of Applied Statistics, 94-123, 2010	334	2010
Time-varying dynamic bayesian networks L Song, M Kolar, E Xing Advances in neural information processing systems 22, 2009	235	2009
KELLER: estimating time-varying interactions between genes L Song, M Kolar, EP Xing Bioinformatics 25 (12), i128-i136, 2009	132	2009
Efficient distributed learning with sparsity J Wang, M Kolar, N Srebro, T Zhang International conference on machine learning, 3636-3645, 2017	130	2017
Convergent policy optimization for safe reinforcement learning M Yu, Z Yang, M Kolar, Z Wang Advances in Neural Information Processing Systems 32, 2019	77	2019
Sparsistent learning of varying-coefficient models with structural changes M Kolar, L Song, E Xing Advances in neural information processing systems 22, 2009	70	2009
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	68	2011
On time varying undirected graphs M Kolar, EP Xing Proceedings of the Fourteenth International Conference on Artificial …, 2011	67	2011
Distributed multi-task learning J Wang, M Kolar, N Srerbo Artificial intelligence and statistics, 751-760, 2016	66	2016
Estimating networks with jumps M Kolar, EP Xing Electronic journal of statistics 6, 2069, 2012	64	2012
Estimating sparse precision matrices from data with missing values M Kolar, EP Xing International Conference on Machine Learning, 635-642, 2012	54*	2012
ROCKET: Robust confidence intervals via Kendall’s tau for transelliptical graphical models RF Barber, M Kolar	46	2018
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	46	2017
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	45	2006
Statistical inference for pairwise graphical models using score matching M Yu, V Gupta, M Kolar Advances in Neural Information Processing Systems 29, 2016	41	2016
Feature selection in high-dimensional classification M Kolar, H Liu International Conference on Machine Learning, 329-337, 2013	41*	2013
On sparse nonparametric conditional covariance selection M Kolar, A P Parikh, E P Xing Carnegie Mellon University, 2010	39	2010
Union Support Recovery in Multi-task Learning. M Kolar, J Lafferty, L Wasserman Journal of Machine Learning Research 12 (7), 2011	37	2011
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	37	2011
Post-regularization inference for time-varying nonparanormal graphical models J Lu, M Kolar, H Liu Journal of Machine Learning Research, 2018	36*	2018

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