Space lower bounds for linear prediction in the streaming model. - Yuval Dagan; Gil Kur; Ohad Shamir (COLT, 2019)

Space lower bounds for linear prediction. - Yuval Dagan; Gil Kur; Ohad Shamir (CoRR, 2019)

The Log-Concave Maximum Likelihood Estimator is Optimal in High Dimensions. - Yuval Dagan; Gil Kur (CoRR, 2019)

Double descent in the condition number. - Tomaso A. Poggio; Gil Kur; Andrzej Banburski (CoRR, 2019)

On Suboptimality of Least Squares with Application to Estimation of Convex Bodies. - Gil Kur; Alexander Rakhlin; Adityanand Guntuboyina (COLT, 2020)

On the Minimal Error of Empirical Risk Minimization. - Gil Kur; Alexander Rakhlin (COLT, 2021)

A Concentration Inequality for Random Polytopes, Dirichlet-Voronoi Tiling Numbers and the Geometric Balls and Bins Problem. - Steven Hoehner; Gil Kur (Discret. Comput. Geom., 2021)

A bounded-noise mechanism for differential privacy. - Yuval Dagan; Gil Kur (COLT, 2022)

An Efficient Minimax Optimal Estimator For Multivariate Convex Regression. - Gil Kur; Eli Putterman (COLT, 2022)

Efficient Minimax Optimal Estimators For Multivariate Convex Regression. - Gil Kur; Eli Putterman (CoRR, 2022)

On the Variance, Admissibility, and Stability of Empirical Risk Minimization. - Gil Kur; Eli Putterman; Alexander Rakhlin (NeurIPS, 2023)

Tyler's and Maronna's M-estimators: Non-asymptotic concentration results. - Elad Romanov; Gil Kur; Boaz Nadler (J. Multivar. Anal., 2023)

On The Performance Of The Maximum Likelihood Over Large Models - Gil Kur (2023)

Minimum Norm Interpolation Meets The Local Theory of Banach Spaces. - Gil Kur; Pedro Abdalla; Pierre Bizeul; Fanny Yang (ICML, 2024)

Debiased LASSO under Poisson-Gauss Model. - Pedro Abdalla; Gil Kur (CoRR, 2024)

Adaptive Convergence Rates for Log-Concave Maximum Likelihood. - Gil Kur; Aditya Guntuboyina (AISTATS, 2025)

On the Optimality of Random Partial Sphere Coverings in High Dimensions. - Steven Hoehner; Gil Kur (CoRR, 2025)

Early-Stopped Mirror Descent for Linear Regression over Convex Bodies. - Tobias Wegel; Gil Kur; Patrick Rebeschini (CoRR, 2025)