| 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 | 41* | 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 | 35 | 2019 |
| Double descent in the condition number T Poggio, G Kur, A Banburski arXiv preprint arXiv:1912.06190, 2019 | 31 | 2019 |
| Projection pursuit in high dimensions PJ Bickel, G Kur, B Nadler Proceedings of the National Academy of Sciences 115 (37), 9151-9156, 2018 | 31 | 2018 |
| Convex regression in multidimensions: Suboptimality of least squares estimators G Kur, F Gao, A Guntuboyina, B Sen arXiv preprint arXiv:2006.02044, 2020 | 23 | 2020 |
| Space lower bounds for linear prediction in the streaming model Y Dagan, G Kur, O Shamir Conference on Learning Theory, 929-954, 2019 | 23 | 2019 |
| A bounded-noise mechanism for differential privacy Y Dagan, G Kur Conference on Learning Theory, 625-661, 2022 | 20 | 2022 |
| 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 | 16 | 2021 |
| 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, 730-763, 2021 | 9 | 2021 |
| 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 | 9 | 2020 |
| On the minimal error of empirical risk minimization G Kur, A Rakhlin Conference on Learning Theory, 2849-2852, 2021 | 7 | 2021 |
| Approximation of the Euclidean ball by polytopes with a restricted number of facets G Kur arXiv preprint arXiv:1705.00210, 2017 | 7 | 2017 |
| Tyler’s and Maronna’s M-estimators: Non-asymptotic concentration results E Romanov, G Kur, B Nadler Journal of Multivariate Analysis 196, 105184, 2023 | 2 | 2023 |
| An Efficient Minimax Optimal Estimator For Multivariate Convex Regression G Kur, E Putterman Conference on Learning Theory, 1510-1546, 2022 | 2 | 2022 |
| On the Variance, Admissibility, and Stability of Empirical Risk Minimization G Kur, E Putterman, A Rakhlin Advances in Neural Information Processing Systems (spotlight top 3%) 36, 2024 | 1 | 2024 |
| On The Performance Of The Maximum Likelihood Over Large Models G Kur Massachusetts Institute of Technology, 2023 | 1 | 2023 |
| Debiased LASSO under Poisson-Gauss Model P Abdalla, G Kur arXiv preprint arXiv:2402.16764, 2024 | | 2024 |
Yuval DaganMITVerified email at mit.edu
