Mikulincer, Dan

6 publications

COLT 2025 Low-Dimensional Functions Are Efficiently Learnable Under Randomly Biased Distributions Elisabetta Cornacchia, Dan Mikulincer, Elchanan Mossel

NeurIPS 2022 Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions Omri Ben-Eliezer, Dan Mikulincer, Ilias Zadik

NeurIPS 2022 Size and Depth of Monotone Neural Networks: Interpolation and Approximation Dan Mikulincer, Daniel Reichman

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

COLT 2020 How to Trap a Gradient Flow Sébastien Bubeck, Dan Mikulincer

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