A Computationally Efficient Classification Algorithm in Posterior Drift Model: Phase Transition and Minimax Adaptivity

9 November 2020

Papers citing "A Computationally Efficient Classification Algorithm in Posterior Drift Model: Phase Transition and Minimax Adaptivity"

9 / 9 papers shown

Title
Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier AI T.TONYC EI Hongjiw 50 98 0 07 Jun 2019
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation Clayton Scott 65 36 0 03 Oct 2018
Algorithms and Theory for Multiple-Source Adaptation Judy Hoffman M. Mohri Ningshan Zhang OOD 69 172 0 20 May 2018
Marginal Singularity, and the Benefits of Labels in Covariate-Shift Samory Kpotufe Guillaume Martinet 143 96 0 05 Mar 2018
Adaptivity to Noise Parameters in Nonparametric Active Learning A. Locatelli Alexandra Carpentier Samory Kpotufe 44 30 0 16 Mar 2017
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates Yuchen Zhang John C. Duchi Martin J. Wainwright 328 379 0 22 May 2013
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising Gilles Blanchard Marek Flaska G. Handy Sara Pozzi Clayton Scott NoLa 108 244 0 05 Mar 2013
Noise Tolerance under Risk Minimization Naresh Manwani S. M. I. P. S. Sastry NoLa 186 277 0 24 Sep 2011
Fast learning rates for plug-in classifiers Jean-Yves Audibert Alexandre B. Tsybakov 584 469 0 17 Aug 2007