Eldan, Ronen

9 publications

NeurIPSW 2023 TinyGSM: Achieving 80% on GSM8k with One Billion Parameters Bingbin Liu, Sebastien Bubeck, Ronen Eldan, Janardhan Kulkarni, Yuanzhi Li, Anh Nguyen, Rachel Ward, Yi Zhang

COLT 2021 Non-Asymptotic Approximations of Neural Networks by Gaussian Processes Ronen Eldan, Dan Mikulincer, Tselil Schramm

NeurIPS 2020 Network Size and Size of the Weights in Memorization with Two-Layers Neural Networks Sebastien Bubeck, Ronen Eldan, Yin Tat Lee, Dan Mikulincer

COLT 2019 Depth Separations in Neural Networks: What Is Actually Being Separated? Itay Safran, Ronen Eldan, Ohad Shamir

COLT 2016 Multi-Scale Exploration of Convex Functions and Bandit Convex Optimization Sébastien Bubeck, Ronen Eldan

COLT 2016 The Power of Depth for Feedforward Neural Networks Ronen Eldan, Ohad Shamir

NeurIPS 2015 Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff Ofer Dekel, Ronen Eldan, Tomer Koren

NeurIPS 2015 Finite-Time Analysis of Projected Langevin Monte Carlo Sebastien Bubeck, Ronen Eldan, Joseph Lehec

COLT 2015 The Entropic Barrier: A Simple and Optimal Universal Self-Concordant Barrier Sébastien Bubeck, Ronen Eldan