Mladen Kolar
Mladen Kolar
The University of Chicago, Booth School of Business
Verified email at - Homepage
Cited by
Cited by
Estimating time-varying networks
M Kolar, L Song, A Ahmed, EP Xing
The Annals of Applied Statistics 4 (1), 94-123, 2010
Time-varying dynamic bayesian networks
L Song, M Kolar, EP Xing
Advances in neural information processing systems, 1732-1740, 2009
KELLER: estimating time-varying interactions between genes
L Song, M Kolar, EP Xing
Bioinformatics 25 (12), i128-i136, 2009
Sparsistent learning of varying-coefficient models with structural changes
M Kolar, L Song, EP Xing
Advances in neural information processing systems, 1006-1014, 2009
Coauthorship and citation networks for statisticians
P Ji, J Jin
The Annals of Applied Statistics 10 (4), 1779-1812, 2016
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
Estimating networks with jumps
M Kolar, EP Xing
Electronic journal of statistics 6, 2069, 2012
On time varying undirected graphs
M Kolar, E Xing
Proceedings of the Fourteenth International Conference on Artificial …, 2011
Efficient distributed learning with sparsity
J Wang, M Kolar, N Srebro, T Zhang
International Conference on Machine Learning, 3636-3645, 2017
Distributed multi-task learning
J Wang, M Kolar, N Srerbo
Artificial Intelligence and Statistics, 751-760, 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
Feature selection in high-dimensional classification
M Kolar, H Liu
30th International Conference on Machine Learning, ICML 2013, 2013
Union Support Recovery in Multi-task Learning.
M Kolar, J Lafferty, L Wasserman
Journal of Machine Learning Research 12 (7), 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
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
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
Statistical inference for pairwise graphical models using score matching
M Yu, M Kolar, V Gupta
Advances in Neural Information Processing Systems, 2829-2837, 2016
Berry-Esseen bounds for estimating undirected graphs
L Wasserman, M Kolar, A Rinaldo
Electronic Journal of Statistics 8 (1), 1188-1224, 2014
On sparse nonparametric conditional covariance selection
M Kolar, A P Parikh, E P Xing
Carnegie Mellon University, 2010
Graph estimation from multi-attribute data
M Kolar, H Liu, EP Xing
Journal of Machine Learning Research, 2014
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