• Larry Wasserman, Mladen Kolar, Alessandro Rinaldo. Estimating Undirected Graphs Under Weak Assumptions.
    September 2013. [arXiv]
  • M. Kolar and E. P. Xing. Sparsistent Estimation of Time-Varying Discrete Markov Random Fields. June 2009. [arXiv]
  • M. Kolar
    , H. Liu. Optimal Feature Selection in High-Dimensional Discriminant Analysis. 2013. [arXiv]
  • S. Balakrishnan,
    M. Kolar
    , A. Rinaldo and A. Singh. Recovering Block-structured Activations Using Compressive Measurements. 2012.  [arXiv]

Refereed Publications


  • M. Kolar
    , H. Liu, E.P. Xing. Graph Estimation From Multi-attribute Data. ICML 2013. [arXiv]
  • M. Kolar
    , H. Liu. Feature Selection in High-Dimensional Classification. ICML 2013. [pdf]


  • M. Kolar, E.P. Xing. Estimating Networks with Jumps. Electronic Journal of Statistics, 2012. [pdf]
  • M. Kolar, J. Sharpnack. Variance Function Estimation in High-dimensions. ICML 2012. [pdf] [arxiv]
  • M. Kolar, E.P. Xing. Consistent Covariance Selection From Data With Missing Values. ICML 2012. [pdf]
  • M. Kolar, H. Liu. Marginal Regression for Multitask Learning. AIStats 2012 (oral presentation) [pdf] [supplementary]


  • S. Balakrishnan, M. Kolar, A. Rinaldo, A. Singh, and L. Wasserman. Statistical and computational tradeoffs in biclustering. NIPS 2011 – Computational Trade-offs in Statistical Learning. [pdf]
  • M. Kolar, S. Balakrishnan, A. Rinaldo, and A. Singh. Minimax Localization of Structural Information in Large Noisy Matrices. NIPS 2011. [pdf]
  • M. Kolar, E.P. Xing. On Time Varying Undirected Graphs. AIStats, 2011. [pdf]


  • M. Kolar
    , J. Lafferty and L. Wasserman. Union Support Recovery in Multi-task Learning. 
    Journal of Machine Learning, 2010. [pdf]
  • M. Kolar
    , A. Parikh and E.P. Xing. On Sparse Conditional Covariance Selection. ICML 2010. [pdf]
  • M. Kolar, E.P. Xing. Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach. AIStats 2010. [pdf]
  • M. Kolar, L. Song, A. Ahmed, and E. P. Xing. Estimating time-varying networks. Annals of Applied Statistics, 2010. AOAS [pdf]


  • L. Song, M. Kolar, E. P. Xing. Time-Varying Dynamic Bayesian Networks. Advances in Neural Information Processing Systems 23, 2009.
  • M. Kolar, L. Song, E. P. Xing. Sparsistent Learning of Varying-coefficient Models with Structural Changes. Advances in Neural Information Processing Systems 23, 2009
  • L. Song, M. Kolar, and E. P. Xing. KELLER: Estimating time-evolving interactions between genes. The Sixteenth International Conference on Intelligence Systems for Molecular Biology (ISMB 2009). Bioinformatics 2009 25(12):i128-i136.


  • M. Kolar and E. P. Xing. Time varying ising models. NIPS 2008 Workshop on Analyzing Graphs: Theory and Applications, 2008
  • P. Ray, S. Shringarpure, M. Kolar and E. P. Xing. CSMET: Comparative Genomic Motif Detection via Multi-Resolution Phylogenetic Shadowing. PLoS Computational Biology (2008), Vol 4 (6), June 2008

Undergraduate Work

  • S. Petrovic, B. Dalbelo Basic, J. Snajder, M. Kolar. Comparison of Collocation Extraction Measures for Document Indexing. Journal of Computing and Information Technology CIT 14 (2006), 4, (best student papers, ITI 2006)
  • M. Kolar, I. Vukmirovic, B. Dalbelo Basic, J. Snajder. Computer-Aided document Indexing Systems. Journal of Computing and Information Technology - CIT. 13 (2005), 4; 299-305, (awarded with the “SCIENCE” award)

Technical reports

  • M. Kolar and E. P. Xing. Improved Estimation of High-dimensional Ising Models. Technical report, 2008. arXiv