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, 94-123, 2010
Time-varying dynamic bayesian networks
L Song, M Kolar, E Xing
Advances in neural information processing systems 22, 2009
Efficient distributed learning with sparsity
J Wang, M Kolar, N Srebro, T Zhang
International conference on machine learning, 3636-3645, 2017
KELLER: estimating time-varying interactions between genes
L Song, M Kolar, EP Xing
Bioinformatics 25 (12), i128-i136, 2009
Convergent policy optimization for safe reinforcement learning
M Yu, Z Yang, M Kolar, Z Wang
Advances in Neural Information Processing Systems 32, 2019
Distributed multi-task learning
J Wang, M Kolar, N Srerbo
Artificial intelligence and statistics, 751-760, 2016
On time varying undirected graphs
M Kolar, EP Xing
Proceedings of the Fourteenth International Conference on Artificial …, 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
Sparsistent learning of varying-coefficient models with structural changes
M Kolar, L Song, E Xing
Advances in neural information processing systems 22, 2009
Estimating networks with jumps
M Kolar, EP Xing
Electronic journal of statistics 6, 2069, 2012
Estimating sparse precision matrices from data with missing values
M Kolar, EP Xing
International Conference on Machine Learning, 635-642, 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
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
ROCKET: Robust confidence intervals via Kendall’s tau for transelliptical graphical models
RF Barber, M Kolar
Statistical inference for pairwise graphical models using score matching
M Yu, V Gupta, M Kolar
Advances in Neural Information Processing Systems 29, 2016
Feature selection in high-dimensional classification
M Kolar, H Liu
International Conference on Machine Learning, 329-337, 2013
Graph estimation from multi-attribute data
M Kolar, H Liu, EP Xing
Journal of Machine Learning Research, 2014
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
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
On sparse nonparametric conditional covariance selection
M Kolar, A P Parikh, E P Xing
Carnegie Mellon University, 2010
The system can't perform the operation now. Try again later.
Articles 1–20