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Gil Kur
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Optimality of maximum likelihood for log-concave density estimation and bounded convex regression
G Kur, Y Dagan, A Rakhlin
arXiv preprint arXiv:1903.05315, 2019
25*2019
Optimality of maximum likelihood for log-concave density estimation and bounded convex regression
G Kur, Y Dagan, A Rakhlin
arXiv preprint arXiv:1903.05315, 2019
202019
Projection pursuit in high dimensions
PJ Bickel, G Kur, B Nadler
Proceedings of the National Academy of Sciences 115 (37), 9151-9156, 2018
192018
Convex regression in multidimensions: Suboptimality of least squares estimators
G Kur, F Gao, A Guntuboyina, B Sen
arXiv preprint arXiv:2006.02044, 2020
132020
Double descent in the condition number
T Poggio, G Kur, A Banburski
arXiv preprint arXiv:1912.06190, 2019
132019
Space lower bounds for linear prediction in the streaming model
Y Dagan, G Kur, O Shamir
Conference on Learning Theory, 929-954, 2019
122019
A bounded-noise mechanism for differential privacy
Y Dagan, G Kur
arXiv preprint arXiv:2012.03817, 2020
82020
Intrinsic and dual volume deviations of convex bodies and polytopes
F Besau, S Hoehner, G Kur
International Mathematics Research Notices 2021 (22), 17456-17513, 2021
72021
On suboptimality of least squares with application to estimation of convex bodies
G Kur, A Rakhlin, A Guntuboyina
Conference on Learning Theory, 2406-2424, 2020
52020
Approximation of the Euclidean ball by polytopes with a restricted number of facets
G Kur
arXiv preprint arXiv:1705.00210, 2017
42017
A Concentration Inequality for Random Polytopes, Dirichlet–Voronoi Tiling Numbers and the Geometric Balls and Bins Problem
S Hoehner, G Kur
Discrete & Computational Geometry 65 (3), 730-763, 2021
32021
Efficient Minimax Optimal Estimators For Multivariate Convex Regression
G Kur, E Putterman
arXiv preprint arXiv:2205.03368, 2022
2022
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Articles 1–12