Gil Kur

25 papers A* 7A 1Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Minimum Norm Interpolation via The Local Theory of Banach Spaces: The Role of 2-Uniform Convexity.
CoRR
Gil Kur, Pierre Bizeul
2025 A conf
Adaptive Convergence Rates for Log-Concave Maximum Likelihood.
AISTATS
Gil Kur, Aditya Guntuboyina
2025 J jnl
Early-Stopped Mirror Descent for Linear Regression over Convex Bodies.
CoRR
Tobias Wegel, Gil Kur, Patrick Rebeschini
2025 J jnl
On the Optimality of Random Partial Sphere Coverings in High Dimensions.
CoRR
Steven Hoehner, Gil Kur
2025 J jnl
Revisiting Knowledge Distillation: The Hidden Role of Dataset Size.
CoRR
Giulia Lanzillotta, Felix Sarnthein, Gil Kur, Thomas Hofmann, Bobby He
2025 J jnl
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models.
CoRR
Jonas Hübotter, Patrik Wolf, Alexander Shevchenko, Dennis Jüni, Andreas Krause, Gil Kur
2024 J jnl
Debiased LASSO under Poisson-Gauss Model.
CoRR
Pedro Abdalla, Gil Kur
2024 A* conf
Minimum Norm Interpolation Meets The Local Theory of Banach Spaces.
ICML
Gil Kur, Pedro Abdalla, Pierre Bizeul, Fanny Yang
2023 — —
On The Performance Of The Maximum Likelihood Over Large Models
Gil Kur
2023 A* conf
On the Variance, Admissibility, and Stability of Empirical Risk Minimization.
NeurIPS
Gil Kur, Eli Putterman, Alexander Rakhlin
2023 J jnl
On the Variance, Admissibility, and Stability of Empirical Risk Minimization.
CoRR
Gil Kur, Eli Putterman, Alexander Rakhlin
2023 J jnl
Tyler's and Maronna's M-estimators: Non-asymptotic concentration results.
J. Multivar. Anal.
Elad Romanov, Gil Kur, Boaz Nadler
2022 A* conf
A bounded-noise mechanism for differential privacy.
COLT
Yuval Dagan, Gil Kur
2022 A* conf
An Efficient Minimax Optimal Estimator For Multivariate Convex Regression.
COLT
Gil Kur, Eli Putterman
2022 J jnl
Efficient Minimax Optimal Estimators For Multivariate Convex Regression.
CoRR
Gil Kur, Eli Putterman
2021 J jnl
A Concentration Inequality for Random Polytopes, Dirichlet-Voronoi Tiling Numbers and the Geometric Balls and Bins Problem.
Discret. Comput. Geom.
Steven Hoehner, Gil Kur
2021 A* conf
On the Minimal Error of Empirical Risk Minimization.
COLT
Gil Kur, Alexander Rakhlin
2021 J jnl
On the Minimal Error of Empirical Risk Minimization.
CoRR
Gil Kur, Alexander Rakhlin
2020 J jnl
A bounded-noise mechanism for differential privacy.
CoRR
Yuval Dagan, Gil Kur
2020 A* conf
On Suboptimality of Least Squares with Application to Estimation of Convex Bodies.
COLT
Gil Kur, Alexander Rakhlin, Adityanand Guntuboyina
2020 J jnl
On Suboptimality of Least Squares with Application to Estimation of Convex Bodies.
CoRR
Gil Kur, Alexander Rakhlin, Adityanand Guntuboyina
2019 J jnl
Double descent in the condition number.
CoRR
Tomaso A. Poggio, Gil Kur, Andrzej Banburski
2019 A* conf
Space lower bounds for linear prediction in the streaming model.
COLT
Yuval Dagan, Gil Kur, Ohad Shamir
2019 J jnl
Space lower bounds for linear prediction.
CoRR
Yuval Dagan, Gil Kur, Ohad Shamir
2019 J jnl
The Log-Concave Maximum Likelihood Estimator is Optimal in High Dimensions.
CoRR
Yuval Dagan, Gil Kur