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Fast learning rates for plug-in classifiers

Fast learning rates for plug-in classifiers

17 August 2007
Jean-Yves Audibert
Alexandre B. Tsybakov
ArXivPDFHTML

Papers citing "Fast learning rates for plug-in classifiers"

9 / 9 papers shown
Title
Explaining the Success of Nearest Neighbor Methods in Prediction
George H. Chen
Devavrat Shah
OOD
221
146
0
21 Feb 2025
Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations
Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations
H. Holzmann
A. Meister
96
1
0
17 Feb 2025
The Central Role of the Loss Function in Reinforcement Learning
The Central Role of the Loss Function in Reinforcement Learning
Kaiwen Wang
Nathan Kallus
Wen Sun
OffRL
158
10
0
19 Sep 2024
Contextual Bandits for Unbounded Context Distributions
Contextual Bandits for Unbounded Context Distributions
Puning Zhao
Xiaogang Xu
Zhe Liu
Huiwen Wu
Qin Zhang
Zong Ke
Tianhang Zheng
162
6
0
19 Aug 2024
Utility Theory of Synthetic Data Generation
Utility Theory of Synthetic Data Generation
Shi Xu
W. Sun
Guang Cheng
108
5
0
17 May 2023
Augmentation Invariant Manifold Learning
Augmentation Invariant Manifold Learning
Shulei Wang
148
1
0
01 Nov 2022
Estimation bounds and sharp oracle inequalities of regularized
  procedures with Lipschitz loss functions
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions
Pierre Alquier
V. Cottet
Guillaume Lecué
133
59
0
05 Feb 2017
Fast rates for support vector machines using Gaussian kernels
Fast rates for support vector machines using Gaussian kernels
Ingo Steinwart
C. Scovel
177
283
0
14 Aug 2007
Rejoinder: 2004 IMS Medallion Lecture: Local Rademacher complexities and
  oracle inequalities in risk minimization
Rejoinder: 2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization
V. Koltchinskii
251
196
0
01 Aug 2007
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