Gábor Balázs
Statistics and Probability · 2015
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 9 citations into it
- Artificial Intelligence — 8 citations into it
Whom Gábor Balázs trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shahar Mendelson
- Vladimir Koltchinskii
- Lauren Hannah
- Peter L. Bartlett
- Hal R. Varian
- Olivier Bousquet
- École d'été de probabilités de Saint-Flour
- David B. Dunson
- Timo Kuosmanen
- S. Jammalamadaka
Who trusts Gábor Balázs overall
Papers from Gábor Balázs's perspective
Ordered by how strongly the researchers Gábor Balázs trusts endorse each paper. Same corpus, a different order for every researcher.
- Local Rademacher complexities
- Representation theorem for convex nonparametric least squares (Econometrics Journal)
- Lectures on Stochastic Programming: Modeling and Theory
- Nonparametric Least Squares Estimation of a Multivariate Convex Regression Function
- The Nonparametric Approach to Demand Analysis
- Covering Numbers for Convex Functions
- Empirical Processes in M-Estimation
- Learning without Concentration
- The Nonparametric Approach to Production Analysis
- Smoothness, Low Noise and Fast Rates
Their papers
- Near-optimal max-affine estimators for convex regression (2015) — 53 citations