Ronen Eldan
Ronen Eldan
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Cited by
Cited by
The power of depth for feedforward neural networks
R Eldan, O Shamir
Conference on learning theory, 907-940, 2016
Kernel-based methods for bandit convex optimization
S Bubeck, YT Lee, R Eldan
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017
Sampling from a log-concave distribution with projected langevin monte carlo
S Bubeck, R Eldan, J Lehec
Discrete & Computational Geometry 59 (4), 757-783, 2018
Thin shell implies spectral gap up to polylog via a stochastic localization scheme
R Eldan
Geometric and Functional Analysis 23 (2), 532-569, 2013
Testing for high‐dimensional geometry in random graphs
S Bubeck, J Ding, R Eldan, MZ Rácz
Random Structures & Algorithms 49 (3), 503-532, 2016
A two-sided estimate for the Gaussian noise stability deficit
R Eldan
Inventiones mathematicae 201 (2), 561-624, 2015
Multi-scale exploration of convex functions and bandit convex optimization
S Bubeck, R Eldan
Conference on Learning Theory, 583-589, 2016
Gaussian-width gradient complexity, reverse log-Sobolev inequalities and nonlinear large deviations
R Eldan
Geometric and Functional Analysis 28 (6), 1548-1596, 2018
Approximately gaussian marginals and the hyperplane conjecture
R Eldan, B Klartag
Concentration, functional inequalities and isoperimetry 545, 55-68, 2011
The entropic barrier: a simple and optimal universal self-concordant barrier
S Bubeck, R Eldan
arXiv preprint arXiv:1412.1587, 2014
Volumetric properties of the convex hull of an -dimensional Brownian motion
R Eldan
Electronic Journal of Probability 19, 1-34, 2014
Pointwise estimates for marginals of convex bodies
R Eldan, B Klartag
Journal of Functional Analysis 254 (8), 2275-2293, 2008
Finite-time analysis of projected Langevin Monte Carlo
S Bubeck, R Eldan, J Lehec
Advances in Neural Information Processing Systems 28, 2015
Bandit smooth convex optimization: Improving the bias-variance tradeoff
O Dekel, R Eldan, T Koren
Advances in Neural Information Processing Systems 28, 2015
From trees to seeds: on the inference of the seed from large trees in the uniform attachment model
S Bubeck, R Eldan, E Mossel, MZ Rácz
Bernoulli 23 (4A), 2887-2916, 2017
The CLT in high dimensions: quantitative bounds via martingale embedding
R Eldan, D Mikulincer, A Zhai
The Annals of Probability 48 (5), 2494-2524, 2020
On multiple peaks and moderate deviations for the supremum of a Gaussian field
J Ding, R Eldan, A Zhai
The Annals of Probability 43 (6), 3468-3493, 2015
Dimensionality and the stability of the Brunn-Minkowski inequality
R Eldan, B Klartag
arXiv preprint arXiv:1110.6584, 2011
Network size and weights size for memorization with two-layers neural networks
S Bubeck, R Eldan, YT Lee, D Mikulincer
arXiv preprint arXiv:2006.02855, 2020
Efficient algorithms for discrepancy minimization in convex sets
R Eldan, M Singh
Random Structures & Algorithms 53 (2), 289-307, 2018
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