Gaussian mixtures: entropy and geometric inequalities. - Alexandros Eskenazis; Piotr Nayar; Tomasz Tkocz (CoRR, 2016)

Dimension independent Bernstein-Markov inequalities in Gauss space. - Alexandros Eskenazis; Paata Ivanisvili (J. Approx. Theory, 2020)

On Extremal Sections of Subspaces of Lp. - Alexandros Eskenazis (Discret. Comput. Geom., 2021)

Learning low-degree functions from a logarithmic number of random queries. - Alexandros Eskenazis; Paata Ivanisvili (STOC, 2022)

Low-degree learning and the metric entropy of polynomials. - Alexandros Eskenazis; Paata Ivanisvili; Lauritz Streck (CoRR, 2022)

On the entropy and information of Gaussian mixtures. - Alexandros Eskenazis; Lampros Gavalakis (CoRR, 2023)

Dimensionality of Hamming Metrics and Rademacher Type. - Alexandros Eskenazis (SoCG, 2024)

Gaussian Mixtures: Convexity Properties and CLT Rates for the Entropy and Fisher Information. - Alexandros Eskenazis; Lampros Gavalakis (ISIT, 2024)

ε-Isometric Dimension Reduction for Incompressible Subsets of ℓ p. - Alexandros Eskenazis (Discret. Comput. Geom., 2024)