Mladen Kolar

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Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U在 cs.cmu.edu 的電子郵件地址已通過驗證
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern University在 northwestern.edu 的電子郵件地址已通過驗證
Le SongGenBio AI, Mohamed bin Zayed University of Artificial Intelligence在 mbzuai.ac.ae 的電子郵件地址已通過驗證
Sen NaAssistant Professor in Industrial and Systems Engineering, Georgia Tech在 gatech.edu 的電子郵件地址已通過驗證
Ming YuThe University of Chicago Booth School of Business在 chicagobooth.edu 的電子郵件地址已通過驗證
Jialei WangUniversity of Chicago在 uchicago.edu 的電子郵件地址已通過驗證
Boxin ZhaoUniversity of Chicago在 uchicago.edu 的電子郵件地址已通過驗證
Zhuoran YangYale University在 yale.edu 的電子郵件地址已通過驗證
Varun GuptaAssociate Professor, Booth School of Business, University of Chicago在 uchicago.edu 的電子郵件地址已通過驗證
Zhaoran WangAssociate Professor at Northwestern University在 northwestern.edu 的電子郵件地址已通過驗證
Alessandro RinaldoThe University of Texas at Austin在 austin.utexas.edu 的電子郵件地址已通過驗證
Nathan SrebroProfessor, TTIC and University of Chicago在 ttic.edu 的電子郵件地址已通過驗證
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon University在 cmu.edu 的電子郵件地址已通過驗證
Sivaraman BalakrishnanCarnegie Mellon University在 stat.cmu.edu 的電子郵件地址已通過驗證
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon University在 stat.cmu.edu 的電子郵件地址已通過驗證
Sanmi KoyejoAssistant Professor, Stanford University在 stanford.edu 的電子郵件地址已通過驗證
Luofeng LiaoColumbia University在 columbia.edu 的電子郵件地址已通過驗證
Junwei LuAssistant Professor of Biostatistics, Harvard T.H. Chan School of Public Health在 hsph.harvard.edu 的電子郵件地址已通過驗證
Tong ZhangUIUC在 tongzhang-ml.org 的電子郵件地址已通過驗證
Y. Samuel WangCornell University在 cornell.edu 的電子郵件地址已通過驗證

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Mladen Kolar

University of Southern California

在 usc.edu 的電子郵件地址已通過驗證 - 首頁

Machine learning Statistics


標題按引用次數排序按年份排序按標題排序	引用次數引用次數	年份
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	195	2017
KELLER: estimating time-varying interactions between genes L Song, M Kolar, EP Xing Bioinformatics 25 (12), i128-i136, 2009	139	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	56	2017
ROCKET: Robust confidence intervals via Kendall’s tau for transelliptical graphical models RF Barber, M Kolar	54	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	53	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
An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians S Na, M Anitescu, M Kolar Mathematical Programming 199 (1), 721-791, 2023	48	2023
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
Feature selection in high-dimensional classification M Kolar, H Liu International Conference on Machine Learning, 329-337, 2013	46*	2013

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