Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss

27 June 2012

Papers citing "Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss"

8 / 8 papers shown

Title
A Survey of Learning Curves with Bad Behavior: or How More Data Need Not Lead to Better Performance Marco Loog T. Viering 21 1 0 25 Nov 2022
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning Yehuda Dar Vidya Muthukumar Richard G. Baraniuk 29 71 0 06 Sep 2021
The Shape of Learning Curves: a Review T. Viering Marco Loog 18 122 0 19 Mar 2021
Classification vs regression in overparameterized regimes: Does the loss function matter? Vidya Muthukumar Adhyyan Narang Vignesh Subramanian M. Belkin Daniel J. Hsu A. Sahai 36 148 0 16 May 2020
Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification Marco Loog 19 66 0 01 Mar 2015
A PTAS for Agnostically Learning Halfspaces Amit Daniely 19 47 0 26 Oct 2014
Beating the Minimax Rate of Active Learning with Prior Knowledge Lijun Zhang M. Mahdavi R. L. Jin 49 0 0 19 Nov 2013
Supervised Metric Learning with Generalization Guarantees A. Bellet 48 10 0 17 Jul 2013