Theoretical characterization of uncertainty in high-dimensional linear
classification

Theoretical characterization of uncertainty in high-dimensional linear classification

7 February 2022

Florent Krzakala

Lenka Zdeborová

Papers citing "Theoretical characterization of uncertainty in high-dimensional linear classification"

15 / 15 papers shown

Title
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs Kasimir Tanner Matteo Vilucchio Bruno Loureiro Florent Krzakala AAML 55 0 0 31 Dec 2024
Building Conformal Prediction Intervals with Approximate Message Passing Lucas Clarté Lenka Zdeborová 26 0 0 21 Oct 2024
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Romain Ilbert Malik Tiomoko Cosme Louart Ambroise Odonnat Vasilii Feofanov Themis Palpanas I. Redko AI4TS 65 1 0 14 Jun 2024
A phase transition between positional and semantic learning in a solvable model of dot-product attention Hugo Cui Freya Behrens Florent Krzakala Lenka Zdeborová MLT 33 11 0 06 Feb 2024
High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality Sining Chen Leonardo Defilippis Bruno Loureiro G. Sicuro 16 10 0 28 Sep 2023
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression You-Hyun Baek S. Berchuck Sayan Mukherjee 18 0 0 06 Jun 2023
When Does Optimizing a Proper Loss Yield Calibration? Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 39 23 0 30 May 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul Linjun Zhang James Zou Carlos Guestrin 32 20 0 29 May 2023
Expectation consistency for calibration of neural networks Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová UQCV 15 6 0 05 Mar 2023
Universality laws for Gaussian mixtures in generalized linear models Yatin Dandi Ludovic Stephan Florent Krzakala Bruno Loureiro Lenka Zdeborová FedML 28 19 0 17 Feb 2023
On double-descent in uncertainty quantification in overparametrized models Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová UQCV 46 12 0 23 Oct 2022
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes Liam Hodgkinson Christopher van der Heide Fred Roosta Michael W. Mahoney UQCV 18 5 0 14 Oct 2022
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Emmanuel J. Candès Michael I. Jordan Lihua Lei 102 125 0 03 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015