Ronen Eldan
8 papers · 2015–2021 · 2 conferences · across top CS/AI conferences
Achievements
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๐ Cross-Pollinator (15) ๐ Conference Polyglot (2) ๐ Academic Marathon (6) ๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (15)
๐งญ
Keyword Pioneer
๐ฃ
Hot Topic Early Bird
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The Questioner
Conferences
COLT (5)
NIPS (3)
Top co-authors
Keywords
neural network
(2)
bandit convex optimization
(2)
regret bound
(2)
log-concave distribution
(2)
bayesian inference
(1)
function approximation
(1)
markov chain monte carlo
(1)
posterior distribution
(1)
gaussian process
(1)
exponential family
(1)
markov chain
(1)
online algorithm
(1)
relu activation
(1)
approximation theory
(1)
activation function
(1)
feedforward network
(1)
langevin monte carlo
(1)
convex body
(1)
neural network approximation
(1)
sampling algorithm
(1)
Papers
Non-asymptotic approximations of neural networks by Gaussian processes
COLT 2021
Network size and size of the weights in memorization with two-layers neural networks
NIPS 2020
Depth Separations in Neural Networks: What is Actually Being Separated?
COLT 2019
Multi-scale exploration of convex functions and bandit convex optimization
COLT 2016
The Power of Depth for Feedforward Neural Networks
COLT 2016
Finite-Time Analysis of Projected Langevin Monte Carlo
NIPS 2015
The entropic barrier: a simple and optimal universal self-concordant barrier
COLT 2015
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff
NIPS 2015