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Ronen Eldan
Ronen Eldan
Verified email at weizmann.ac.il - Homepage
Title
Cited by
Cited by
Year
The power of depth for feedforward neural networks
R Eldan, O Shamir
Conference on learning theory, 907-940, 2016
8072016
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
1452017
Sampling from a log-concave distribution with projected langevin monte carlo
S Bubeck, R Eldan, J Lehec
Discrete & Computational Geometry 59, 757-783, 2018
1212018
Testing for high‐dimensional geometry in random graphs
S Bubeck, J Ding, R Eldan, MZ Rácz
Random Structures & Algorithms 49 (3), 503-532, 2016
1202016
Thin shell implies spectral gap up to polylog via a stochastic localization scheme
R Eldan
Geometric and Functional Analysis 23 (2), 532-569, 2013
1112013
A two-sided estimate for the Gaussian noise stability deficit
R Eldan
Inventiones mathematicae 201, 561-624, 2015
792015
Multi-scale exploration of convex functions and bandit convex optimization
S Bubeck, R Eldan
Conference on Learning Theory, 583-589, 2016
742016
Gaussian-width gradient complexity, reverse log-Sobolev inequalities and nonlinear large deviations
R Eldan
Geometric and Functional Analysis 28, 1548-1596, 2018
712018
Approximately gaussian marginals and the hyperplane conjecture
R Eldan, B Klartag
Concentration, functional inequalities and isoperimetry 545, 55-68, 2011
602011
The entropic barrier: a simple and optimal universal self-concordant barrier
S Bubeck, R Eldan
arXiv preprint arXiv:1412.1587, 2014
542014
Efficient algorithms for discrepancy minimization in convex sets
R Eldan, M Singh
Random Structures & Algorithms 53 (2), 289-307, 2018
402018
Finite-time analysis of projected Langevin Monte Carlo
S Bubeck, R Eldan, J Lehec
Advances in Neural Information Processing Systems 28, 2015
402015
Volumetric properties of the convex hull of an -dimensional Brownian motion
R Eldan
372014
Pointwise estimates for marginals of convex bodies
R Eldan, B Klartag
Journal of Functional Analysis 254 (8), 2275-2293, 2008
372008
Bandit smooth convex optimization: Improving the bias-variance tradeoff
O Dekel, R Eldan, T Koren
Advances in Neural Information Processing Systems 28, 2015
342015
Stability of the logarithmic Sobolev inequality via the Föllmer process
R Eldan, J Lehec, Y Shenfeld
312020
The CLT in high dimensions: quantitative bounds via martingale embedding
R Eldan, D Mikulincer, A Zhai
302020
Network size and size of the weights in memorization with two-layers neural networks
S Bubeck, R Eldan, YT Lee, D Mikulincer
Advances in Neural Information Processing Systems 33, 4977-4986, 2020
302020
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
292017
Depth separations in neural networks: what is actually being separated?
I Safran, R Eldan, O Shamir
Conference on Learning Theory, 2664-2666, 2019
272019
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