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Classification of Heavy-tailed Features in High Dimensions: a
  Superstatistical Approach
v1v2v3 (latest)

Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach

6 April 2023
Urte Adomaityte
G. Sicuro
P. Vivo
ArXiv (abs)PDFHTML

Papers citing "Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach"

3 / 3 papers shown
Title
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs
Kasimir Tanner
Matteo Vilucchio
Bruno Loureiro
Florent Krzakala
AAML
97
1
0
31 Dec 2024
Asymptotics of feature learning in two-layer networks after one
  gradient-step
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
135
19
0
07 Feb 2024
High-dimensional robust regression under heavy-tailed data: Asymptotics
  and Universality
High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality
Sining Chen
Leonardo Defilippis
Bruno Loureiro
G. Sicuro
64
11
0
28 Sep 2023
1