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  3. 2006.04046
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On Suboptimality of Least Squares with Application to Estimation of
  Convex Bodies

On Suboptimality of Least Squares with Application to Estimation of Convex Bodies

7 June 2020
Gil Kur
Alexander Rakhlin
Adityanand Guntuboyina
ArXiv (abs)PDFHTML

Papers citing "On Suboptimality of Least Squares with Application to Estimation of Convex Bodies"

9 / 9 papers shown
Early-Stopped Mirror Descent for Linear Regression over Convex Bodies
Early-Stopped Mirror Descent for Linear Regression over Convex Bodies
Tobias Wegel
Gil Kur
Patrick Rebeschini
334
0
0
05 Mar 2025
The Star Geometry of Critic-Based Regularizer Learning
The Star Geometry of Critic-Based Regularizer LearningNeural Information Processing Systems (NeurIPS), 2024
Oscar Leong
Eliza O'Reilly
Yong Sheng Soh
AAML
419
2
0
29 Aug 2024
On the Variance, Admissibility, and Stability of Empirical Risk Minimization
On the Variance, Admissibility, and Stability of Empirical Risk MinimizationNeural Information Processing Systems (NeurIPS), 2023
Gil Kur
E. Putterman
Alexander Rakhlin
327
7
0
29 May 2023
Convex and Nonconvex Sublinear Regression with Application to
  Data-driven Learning of Reach Sets
Convex and Nonconvex Sublinear Regression with Application to Data-driven Learning of Reach SetsAmerican Control Conference (ACC), 2022
Shadi Haddad
A. Halder
184
0
0
04 Oct 2022
An Efficient Minimax Optimal Estimator For Multivariate Convex Regression
An Efficient Minimax Optimal Estimator For Multivariate Convex Regression
Gil Kur
E. Putterman
242
0
0
06 May 2022
Spectrahedral Regression
Spectrahedral RegressionSIAM Journal on Optimization (SIAM J. Optim.), 2021
Eliza O'Reilly
V. Chandrasekaran
163
2
0
27 Oct 2021
On the Minimal Error of Empirical Risk Minimization
On the Minimal Error of Empirical Risk MinimizationAnnual Conference Computational Learning Theory (COLT), 2021
Gil Kur
Alexander Rakhlin
201
4
0
24 Feb 2021
Suboptimality of Constrained Least Squares and Improvements via
  Non-Linear Predictors
Suboptimality of Constrained Least Squares and Improvements via Non-Linear PredictorsBernoulli (Bernoulli), 2020
Tomas Vaskevicius
Nikita Zhivotovskiy
233
17
0
19 Sep 2020
Convex Regression in Multidimensions: Suboptimality of Least Squares
  Estimators
Convex Regression in Multidimensions: Suboptimality of Least Squares EstimatorsAnnals of Statistics (Ann. Stat.), 2020
Gil Kur
Fuchang Gao
Adityanand Guntuboyina
B. Sen
331
16
0
03 Jun 2020
1
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