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Gil Kur
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14
On the Optimality of Random Partial Sphere Coverings in High Dimensions
17 January 2025 by
Steven Hoehner
and
Gil Kur
Metric Geometry
,
Information Theory
On the Optimality of Random Partial Sphere Coverings in High Dimensions
17 January 2025 by
Steven Hoehner
and
Gil Kur
Metric Geometry
,
Information Theory
On the Optimality of Random Partial Sphere Coverings in High Dimensions
17 January 2025 by
Steven Hoehner
and
Gil Kur
Metric Geometry
,
Information Theory
Convergence rates for estimating multivariate scale mixtures of uniform densities
14 October 2024 by
Arlene K. H. Kim
and
others
Statistics Theory
Convex Regression in Multidimensions: Suboptimality of Least Squares Estimators
3 September 2024 by
Gil Kur
and
others
at
University of Idaho
Statistics Theory
,
Machine Learning
Debiased LASSO under Poisson-Gauss Model
26 February 2024 by
Pedro Abdalla
and
Gil Kur
Statistics Theory
,
Information Theory
On the Variance, Admissibility, and Stability of Empirical Risk Minimization
29 May 2023 by
Gil Kur
and
others
Statistics Theory
,
Machine Learning
Tyler's and Maronna's M-estimators: Non-Asymptotic Concentration Results
24 March 2023 by
Elad Romanov
and
others
Statistics Theory
Efficient Minimax Optimal Estimators For Multivariate Convex Regression
6 May 2022 by
Gil Kur
and
Eli Putterman
Statistics Theory
,
Machine Learning
A bounded-noise mechanism for differential privacy
7 November 2021 by
Yuval Dagan
and
Gil Kur
Data Structures and Algorithms
,
Cryptography and Security
On the Minimal Error of Empirical Risk Minimization
24 February 2021 by
Gil Kur
and
Alexander Rakhlin
Statistics Theory
,
Machine Learning
On Suboptimality of Least Squares with Application to Estimation of Convex Bodies
7 June 2020 by
Gil Kur
and
others
Statistics Theory
,
Computational Geometry
Intrinsic and Dual Volume Deviations of Convex Bodies and Polytopes
27 February 2020 by
Florian Besau
and
others
Metric Geometry
Double descent in the condition number
10 February 2020 by
Tomaso Poggio
and
others
Machine Learning
Optimality of Maximum Likelihood for Log-Concave Density Estimation and Bounded Convex Regression
30 August 2019 by
Gil Kur
and
others
Statistics Theory
,
Machine Learning
Space lower bounds for linear prediction
23 February 2019 by
Yuval Dagan
and
others
Machine Learning
Approximating convex bodies by random polytopes and the connection to sphere covering
8 January 2018 by
Steven Hoehner
and
Gil Kur
Metric Geometry
Approximation of the Euclidean ball by a N facets polytope
21 May 2017 by
Gil Kur
Probability
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Key points
Topics
Statistics Theory
Machine Learning
Metric Geometry
Information Theory
Signal Processing
Computation
Data Structures and Algorithms
Cryptography and Security
Computational Geometry
Probability