Learning subgaussian classes : Upper and minimax bounds

21 May 2013

Papers citing "Learning subgaussian classes : Upper and minimax bounds"

8 / 8 papers shown

Title
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss Ingvar M. Ziemann Stephen Tu George J. Pappas Nikolai Matni 63 9 0 08 Feb 2024
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions Pierre Alquier V. Cottet Guillaume Lecué 172 59 0 05 Feb 2017
High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions Martin Genzel 256 45 0 10 Feb 2016
`local' vs. `global' parameters -- breaking the gaussian complexity barrier S. Mendelson 44 24 0 09 Apr 2015
Learning without Concentration S. Mendelson 170 333 0 01 Jan 2014
Matrix Completion via Max-Norm Constrained Optimization T. Tony Cai Wenxin Zhou 118 112 0 02 Mar 2013
General nonexact oracle inequalities for classes with a subexponential envelope Guillaume Lecué S. Mendelson 59 22 0 05 Jun 2012
Regularization in kernel learning S. Mendelson Joe Neeman 143 144 0 13 Jan 2010