Mladen Kolar

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Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U確認したメールアドレス: cs.cmu.edu
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern University確認したメールアドレス: northwestern.edu
Le SongGenBio AI, Mohamed bin Zayed University of Artificial Intelligence確認したメールアドレス: mbzuai.ac.ae
Sen NaAssistant Professor in Industrial and Systems Engineering, Georgia Tech確認したメールアドレス: gatech.edu
Ming YuThe University of Chicago Booth School of Business確認したメールアドレス: chicagobooth.edu
Jialei WangUniversity of Chicago確認したメールアドレス: uchicago.edu
Boxin ZhaoUniversity of Chicago確認したメールアドレス: uchicago.edu
Zhuoran YangYale University確認したメールアドレス: yale.edu
Varun GuptaAssociate Professor, Booth School of Business, University of Chicago確認したメールアドレス: uchicago.edu
Zhaoran WangAssociate Professor at Northwestern University確認したメールアドレス: northwestern.edu
Alessandro RinaldoThe University of Texas at Austin確認したメールアドレス: austin.utexas.edu
Nathan SrebroProfessor, TTIC and University of Chicago確認したメールアドレス: ttic.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon University確認したメールアドレス: cmu.edu
Sivaraman BalakrishnanCarnegie Mellon University確認したメールアドレス: stat.cmu.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon University確認したメールアドレス: stat.cmu.edu
Sanmi KoyejoAssistant Professor, Stanford University確認したメールアドレス: stanford.edu
Luofeng LiaoColumbia University確認したメールアドレス: columbia.edu
Junwei LuAssistant Professor of Biostatistics, Harvard T.H. Chan School of Public Health確認したメールアドレス: hsph.harvard.edu
Y. Samuel WangCornell University確認したメールアドレス: cornell.edu
Amr AhmedSenior Staff Research Scientist, Google AI確認したメールアドレス: google.com

フォロー

Mladen Kolar

University of Southern California

確認したメールアドレス: usc.edu - ホームページ

Machine learning Statistics


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Estimating time-varying networks M Kolar, L Song, A Ahmed, EP Xing The Annals of Applied Statistics, 94-123, 2010	383	2010
Time-varying dynamic Bayesian networks L Song, M Kolar, E Xing Advances in neural information processing systems 22, 2009	262	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	137	2019
Distributed multi-task learning J Wang, M Kolar, N Srerbo Artificial intelligence and statistics, 751-760, 2016	89	2016
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	79	2011
On time varying undirected graphs M Kolar, EP Xing Proceedings of the Fourteenth International Conference on Artificial …, 2011	76	2011
Estimating networks with jumps M Kolar, EP Xing Electronic journal of statistics 6, 2069, 2012	74	2012
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 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	53	2018
Instrumental variable value iteration for causal offline reinforcement learning L Liao, Z Fu, Z Yang, Y Wang, D Ma, M Kolar, Z Wang Journal of Machine Learning Research 25 (303), 1-56, 2024	52	2024
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	50	2021
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	50	2014
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
An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians S Na, M Anitescu, M Kolar Mathematical Programming 199 (1), 721-791, 2023	47	2023
Feature selection in high-dimensional classification M Kolar, H Liu International Conference on Machine Learning, 329-337, 2013	46*	2013

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