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Matus Telgarsky

Identifiers

  • name variant Matus Telgarsky 0.60 · backfill

Papers (23)

  1. A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization cs.LG · 2019 · author #2
  2. Size-Noise Tradeoffs in Generative Networks cs.LG · 2018 · author #2
  3. Gradient descent aligns the layers of deep linear networks cs.LG · 2018 · author #2
  4. Risk and parameter convergence of logistic regression cs.LG · 2018 · author #2
  5. Social welfare and profit maximization from revealed preferences cs.GT · 2017 · author #3
  6. Spectrally-normalized margin bounds for neural networks cs.LG · 2017 · author #3
  7. Neural networks and rational functions cs.LG · 2017 · author #1
  8. Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis cs.LG · 2017 · author #3
  9. Greedy bi-criteria approximations for $k$-medians and $k$-means cs.DS · 2016 · author #2
  10. Benefits of depth in neural networks cs.LG · 2016 · author #1
  11. Rate of Price Discovery in Iterative Combinatorial Auctions cs.GT · 2015 · author #3
  12. Representation Benefits of Deep Feedforward Networks cs.LG · 2015 · author #1
  13. Convex Risk Minimization and Conditional Probability Estimation cs.LG · 2015 · author #1
  14. Scalable Nonlinear Learning with Adaptive Polynomial Expansions cs.LG · 2014 · author #5
  15. Moment-based Uniform Deviation Bounds for $k$-means and Friends cs.LG · 2013 · author #1
  16. Boosting with the Logistic Loss is Consistent cs.LG · 2013 · author #1
  17. Margins, Shrinkage, and Boosting cs.LG · 2013 · author #1
  18. Dirichlet draws are sparse with high probability cs.LG · 2013 · author #1
  19. Tensor decompositions for learning latent variable models cs.LG · 2012 · author #5
  20. Statistical Consistency of Finite-dimensional Unregularized Linear Classification cs.LG · 2012 · author #1
  21. Blackwell Approachability and Minimax Theory cs.GT · 2011 · author #1
  22. A Primal-Dual Convergence Analysis of Boosting cs.LG · 2011 · author #1
  23. Central Binomial Tail Bounds math.PR · 2009 · author #1

Mentions

  • 1210.7559 #5 · backfill · confidence 0.70 Matus Telgarsky
  • 1206.3072 #1 · backfill · confidence 0.70 Matus Telgarsky
  • 1110.1514 #1 · backfill · confidence 0.70 Matus Telgarsky
  • 1101.4752 #1 · backfill · confidence 0.70 Matus Telgarsky
  • 0911.2077 #1 · backfill · confidence 0.70 Matus Telgarsky

Frequent Coauthors