On double-descent in uncertainty quantification in overparametrized
models

On double-descent in uncertainty quantification in overparametrized models

23 October 2022

Florent Krzakala

Lenka Zdeborová

Papers citing "On double-descent in uncertainty quantification in overparametrized models"

5 / 5 papers shown

Title
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks Behrad Moniri Donghwan Lee Hamed Hassani Edgar Dobriban MLT 24 19 0 11 Oct 2023
Performance of Bayesian linear regression in a model with mismatch Jean Barbier Wei-Kuo Chen D. Panchenko Manuel Sáenz 32 22 0 14 Jul 2021
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 83 152 0 02 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015