Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View

16 November 2020

Papers citing "Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View"

11 / 11 papers shown

Title
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Xiaosi Gu Tomoyuki Obuchi 69 0 0 29 Nov 2024
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality Marko Medvedev Gal Vardi Nathan Srebro 65 3 0 05 Sep 2024
Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets Khen Cohen Noam Levi Yaron Oz BDL 31 1 0 28 May 2024
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption Vasilii Feofanov Malik Tiomoko Aladin Virmaux 31 5 0 20 Oct 2023
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture Minh-Toan Nguyen Romain Couillet 14 4 0 03 Mar 2023
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models Lijia Zhou Frederic Koehler Pragya Sur Danica J. Sutherland Nathan Srebro 83 9 0 21 Oct 2022
Learning curves for the multi-class teacher-student perceptron Elisabetta Cornacchia Francesca Mignacco R. Veiga Cédric Gerbelot Bruno Loureiro Lenka Zdeborová 15 21 0 22 Mar 2022
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning Ali Bereyhi Bruno Loureiro Florent Krzakala R. Muller H. Schulz-Baldes 27 2 0 19 Jan 2022
On the Regularization of Autoencoders Harald Steck Dario Garcia-Garcia SSL AI4CE 27 4 0 21 Oct 2021
Fine-grained Generalization Analysis of Vector-valued Learning Liang Wu Antoine Ledent Yunwen Lei Marius Kloft 14 9 0 29 Apr 2021
Multiclass Classification Calibration Functions Bernardo Avila-Pires Csaba Szepesvári 70 27 0 20 Sep 2016