Restoring balance: principled under/oversampling of data for optimal classification

15 May 2024

Papers citing "Restoring balance: principled under/oversampling of data for optimal classification"

6 / 6 papers shown

Title
A theoretical framework for overfitting in energy-based modeling Giovanni Catania A. Decelle Cyril Furtlehner Beatriz Seoane 57 2 0 31 Jan 2025
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model F.S. Pezzicoli V. Ros F.P. Landes M. Baity-Jesi 32 1 0 20 Jan 2025
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study Tomoyuki Obuchi Toshiyuki Tanaka 36 0 0 09 Sep 2024
A replica analysis of under-bagging Takashi Takahashi 62 2 0 15 Apr 2024
Asymptotics of feature learning in two-layer networks after one gradient-step Hugo Cui Luca Pesce Yatin Dandi Florent Krzakala Yue M. Lu Lenka Zdeborová Bruno Loureiro MLT 44 16 0 07 Feb 2024
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar C. Pehlevan 131 199 0 07 Feb 2020