← Authors

Dan Mikulincer

6 papers · 2020–2025 · 2 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (2) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer πŸ“ˆ Trend Setter

Conferences

COLT (3) NIPS (3)

Top co-authors

Ronen Eldan (2) SΓ©bastien Bubeck (2) Daniel Reichman (1) Yin Tat Lee (1) Elisabetta Cornacchia (1) Elchanan Mossel (1) Omri Ben-Eliezer (1) Tselil Schramm (1) Ilias Zadik (1)

Research topics

Statistics (1)

Keywords

differential privacy (1) robust statistics (1) high-dimensional statistics (1) gaussian process (1) gradient descent (1) oracle complexity (1) quantile estimation (1) relu activation (1) stationary point (1) approximation theory (1) activation function (1) neural network approximation (1) network depth (1) central limit theorem (1) smooth function (1) convex geometry (1) neural network width (1) random weight (1) monotone function (1) neural network (1)

Papers

Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions COLT 2025
Size and depth of monotone neural networks: interpolation and approximation NIPS 2022
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions NIPS 2022
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
How to Trap a Gradient Flow COLT 2020