Estimating time-varying networks M Kolar, L Song, A Ahmed, EP Xing The Annals of Applied Statistics, 94-123, 2010 | 362 | 2010 |
Time-varying dynamic bayesian networks L Song, M Kolar, E Xing Advances in neural information processing systems 22, 2009 | 251 | 2009 |
Efficient distributed learning with sparsity J Wang, M Kolar, N Srebro, T Zhang International conference on machine learning, 3636-3645, 2017 | 170 | 2017 |
KELLER: estimating time-varying interactions between genes L Song, M Kolar, EP Xing Bioinformatics 25 (12), i128-i136, 2009 | 138 | 2009 |
Convergent policy optimization for safe reinforcement learning M Yu, Z Yang, M Kolar, Z Wang Advances in Neural Information Processing Systems 32, 2019 | 117 | 2019 |
Distributed multi-task learning J Wang, M Kolar, N Srerbo Artificial intelligence and statistics, 751-760, 2016 | 82 | 2016 |
On time varying undirected graphs M Kolar, EP Xing Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 76 | 2011 |
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 | 73 | 2011 |
Sparsistent learning of varying-coefficient models with structural changes M Kolar, L Song, E Xing Advances in neural information processing systems 22, 2009 | 73 | 2009 |
Estimating networks with jumps M Kolar, EP Xing Electronic journal of statistics 6, 2069, 2012 | 69 | 2012 |
Estimating sparse precision matrices from data with missing values M Kolar, EP Xing International Conference on Machine Learning, 635-642, 2012 | 58* | 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 | 51 | 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 | 51 | 2006 |
ROCKET: Robust confidence intervals via Kendall’s tau for transelliptical graphical models RF Barber, M Kolar | 50 | 2018 |
Statistical inference for pairwise graphical models using score matching M Yu, V Gupta, M Kolar Advances in Neural Information Processing Systems 29, 2016 | 47 | 2016 |
Feature selection in high-dimensional classification M Kolar, H Liu International Conference on Machine Learning, 329-337, 2013 | 46* | 2013 |
Graph estimation from multi-attribute data M Kolar, H Liu, EP Xing Journal of Machine Learning Research, 2014 | 43 | 2014 |
On sparse nonparametric conditional covariance selection M Kolar, A P Parikh, E P Xing Carnegie Mellon University, 2010 | 43 | 2010 |
Instrumental variable value iteration for causal offline reinforcement learning L Liao, Z Fu, Z Yang, Y Wang, M Kolar, Z Wang arXiv preprint arXiv:2102.09907, 2021 | 42 | 2021 |
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 | 42 | 2011 |