Learning Gaussian Mixtures with Generalised Linear Models: Precise
Asymptotics in High-dimensions

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Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions

7 June 2021

Cédric Gerbelot

Alessandro Pacco

Florent Krzakala

Lenka Zdeborová

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Papers citing "Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions"

18 / 18 papers shown

Title
Statistical mechanics of extensive-width Bayesian neural networks near interpolation Jean Barbier Francesco Camilli Minh-Toan Nguyen Mauro Pastore Rudy Skerk 47 0 0 30 May 2025
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure Samet Demir Zafer Dogan MLT 94 0 0 02 Mar 2025
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model Kaito Takanami Takashi Takahashi Ayaka Sakata 155 1 0 27 Jan 2025
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs Kasimir Tanner Matteo Vilucchio Bruno Loureiro Florent Krzakala AAML 107 1 0 31 Dec 2024
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Xiaosi Gu Tomoyuki Obuchi 139 0 0 29 Nov 2024
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study Tomoyuki Obuchi Toshiyuki Tanaka 134 0 0 09 Sep 2024
IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency Linshan Hou Ruili Feng Zhongyun Hua Wei Luo Leo Yu Zhang Yiming Li AAML 87 23 0 16 May 2024
A Convergence Analysis of Approximate Message Passing with Non-Separable Functions and Applications to Multi-Class Classification Burak Çakmak Yue M. Lu Manfred Opper 78 4 0 13 Feb 2024
Regularized Linear Regression for Binary Classification D. Akhtiamov Reza Ghane Babak Hassibi NoLa 78 3 0 03 Nov 2023
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models David X. Wu A. Sahai 105 3 0 23 Jun 2023
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions Kai Tan Pierre C. Bellec 59 5 0 28 May 2023
High-dimensional Asymptotics of Denoising Autoencoders Hugo Cui Lenka Zdeborová 94 15 0 18 May 2023
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture Minh-Toan Nguyen Romain Couillet 65 4 0 03 Mar 2023
Universality laws for Gaussian mixtures in generalized linear models Yatin Dandi Ludovic Stephan Florent Krzakala Bruno Loureiro Lenka Zdeborová FedML 102 23 0 17 Feb 2023
Neural networks trained with SGD learn distributions of increasing complexity Maria Refinetti Alessandro Ingrosso Sebastian Goldt UQCV 141 43 0 21 Nov 2022
The impact of memory on learning sequence-to-sequence tasks Alireza Seif S. Loos Gennaro Tucci É. Roldán Sebastian Goldt 70 5 0 29 May 2022
Gaussian Universality of Perceptrons with Random Labels Federica Gerace Florent Krzakala Bruno Loureiro Ludovic Stephan Lenka Zdeborová 107 24 0 26 May 2022
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning Ali Bereyhi Bruno Loureiro Florent Krzakala R. Muller H. Schulz-Baldes 83 2 0 19 Jan 2022