Matus Telgarsky
Identifiers
- name variant Matus Telgarsky 0.60 · backfill
Papers (23)
- A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization cs.LG · 2019 · author #2
- Size-Noise Tradeoffs in Generative Networks cs.LG · 2018 · author #2
- Gradient descent aligns the layers of deep linear networks cs.LG · 2018 · author #2
- Risk and parameter convergence of logistic regression cs.LG · 2018 · author #2
- Social welfare and profit maximization from revealed preferences cs.GT · 2017 · author #3
- Spectrally-normalized margin bounds for neural networks cs.LG · 2017 · author #3
- Neural networks and rational functions cs.LG · 2017 · author #1
- Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis cs.LG · 2017 · author #3
- Greedy bi-criteria approximations for $k$-medians and $k$-means cs.DS · 2016 · author #2
- Benefits of depth in neural networks cs.LG · 2016 · author #1
- Rate of Price Discovery in Iterative Combinatorial Auctions cs.GT · 2015 · author #3
- Representation Benefits of Deep Feedforward Networks cs.LG · 2015 · author #1
- Convex Risk Minimization and Conditional Probability Estimation cs.LG · 2015 · author #1
- Scalable Nonlinear Learning with Adaptive Polynomial Expansions cs.LG · 2014 · author #5
- Moment-based Uniform Deviation Bounds for $k$-means and Friends cs.LG · 2013 · author #1
- Boosting with the Logistic Loss is Consistent cs.LG · 2013 · author #1
- Margins, Shrinkage, and Boosting cs.LG · 2013 · author #1
- Dirichlet draws are sparse with high probability cs.LG · 2013 · author #1
- Tensor decompositions for learning latent variable models cs.LG · 2012 · author #5
- Statistical Consistency of Finite-dimensional Unregularized Linear Classification cs.LG · 2012 · author #1
- Blackwell Approachability and Minimax Theory cs.GT · 2011 · author #1
- A Primal-Dual Convergence Analysis of Boosting cs.LG · 2011 · author #1
- Central Binomial Tail Bounds math.PR · 2009 · author #1
Mentions
Frequent Coauthors
- Daniel Hsu 4 shared papers
- Ziwei Ji 3 shared papers
- Bolton Bailey 2 shared papers
- Alekh Agarwal 1 shared papers
- Alexander Rakhlin 1 shared papers
- Alina Beygelzimer 1 shared papers
- Anima Anandkumar 1 shared papers
- Chao Zhang 1 shared papers
- Dylan J. Foster 1 shared papers
- Jacob Abernethy 1 shared papers
- Jian Peng 1 shared papers
- John Langford 1 shared papers
- Maxim Raginsky 1 shared papers
- Miroslav Dud\'ik 1 shared papers
- Peter Bartlett 1 shared papers
- Robert Schapire 1 shared papers
- Rong Ge 1 shared papers
- Ruta Mehta 1 shared papers
- Sanjoy Dasgupta 1 shared papers
- S\'ebastien Lahaie 1 shared papers