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Mladen Kolar

Identifiers

  • name variant Mladen Kolar 0.60 · backfill

Papers (33)

  1. Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters cs.LG · 2026 · author #2
  2. Muon with Nesterov Momentum: Heavy-Tailed Noise and (Randomized) Inexact Polar Decomposition math.OC · 2026 · author #5
  3. SMART: A Spectral Transfer Approach to Multi-Task Learning cs.LG · 2026 · author #2
  4. Simultaneous Inference for Covariance and Precision Matrices of Long-Range Dependent Time Series math.ST · 2026 · author #2
  5. Provable Accelerated Bayesian Optimization with Knowledge Transfer stat.ML · 2025 · author #3
  6. Partially Linear Additive Gaussian Graphical Models cs.LG · 2019 · author #3
  7. Provable Gaussian Embedding with One Observation stat.ML · 2018 · author #4
  8. Joint Nonparametric Precision Matrix Estimation with Confounding stat.ML · 2018 · author #2
  9. Learning Influence-Receptivity Network Structure with Guarantee stat.ML · 2018 · author #3
  10. Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach stat.ML · 2018 · author #3
  11. Distributed Stochastic Multi-Task Learning with Graph Regularization stat.ML · 2018 · author #3
  12. Scalable Peaceman-Rachford Splitting Method with Proximal Terms stat.ML · 2017 · author #3
  13. Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores stat.ML · 2017 · author #2
  14. Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data cs.LG · 2016 · author #4
  15. Efficient Distributed Learning with Sparsity stat.ML · 2016 · author #2
  16. Distributed Multi-Task Learning with Shared Representation cs.LG · 2016 · author #2
  17. Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models stat.ML · 2015 · author #2
  18. Distributed Multitask Learning stat.ML · 2015 · author #2
  19. Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model stat.ML · 2015 · author #2
  20. ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models math.ST · 2015 · author #2
  21. A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression stat.ML · 2014 · author #2
  22. Inference for Sparse Conditional Precision Matrices stat.ML · 2014 · author #2
  23. Mean and variance estimation in high-dimensional heteroscedastic models with non-convex penalties math.ST · 2014 · author #2
  24. Estimating Undirected Graphs Under Weak Assumptions math.ST · 2013 · author #2
  25. Optimal Feature Selection in High-Dimensional Discriminant Analysis stat.ML · 2013 · author #1
  26. Graph Estimation From Multi-attribute Data stat.ML · 2012 · author #1
  27. Recovering Block-structured Activations Using Compressive Measurements stat.ML · 2012 · author #2
  28. Variance function estimation in high-dimensions stat.ML · 2012 · author #1
  29. Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: A Sure Screening Approach stat.ML · 2010 · author #1
  30. Estimating Networks With Jumps stat.ML · 2010 · author #1
  31. Union Support Recovery in Multi-task Learning stat.ML · 2010 · author #1
  32. Sparsistent Estimation of Time-Varying Discrete Markov Random Fields stat.ML · 2009 · author #1
  33. Estimating time-varying networks stat.ML · 2008 · author #1

Mentions

  • 1309.6933 #2 · backfill · confidence 0.70 Mladen Kolar
  • 1306.6557 #1 · backfill · confidence 0.70 Mladen Kolar
  • 1210.7665 #1 · backfill · confidence 0.70 Mladen Kolar
  • 1209.3431 #2 · backfill · confidence 0.70 Mladen Kolar
  • 1205.4770 #1 · backfill · confidence 0.70 Mladen Kolar
  • 1012.3880 #1 · backfill · confidence 0.70 Mladen Kolar
  • 1012.3795 #1 · backfill · confidence 0.70 Mladen Kolar
  • 1008.5211 #1 · backfill · confidence 0.70 Mladen Kolar
  • 0907.2337 #1 · backfill · confidence 0.70 Mladen Kolar
  • 0812.5087 #1 · backfill · confidence 0.70 Mladen Kolar

Frequent Coauthors