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2202.03295
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Theoretical characterization of uncertainty in high-dimensional linear classification
7 February 2022
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
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Papers citing
"Theoretical characterization of uncertainty in high-dimensional linear classification"
14 / 14 papers shown
Advancing Image Classification with Discrete Diffusion Classification Modeling
Omer Belhasin
Shelly Golan
Ran El-Yaniv
Michael Elad
DiffM
285
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0
25 Nov 2025
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Kasimir Tanner
Matteo Vilucchio
Bruno Loureiro
Florent Krzakala
AAML
484
4
0
31 Dec 2024
Building Conformal Prediction Intervals with Approximate Message Passing
Conference on Uncertainty in Artificial Intelligence (UAI), 2024
Lucas Clarté
Lenka Zdeborová
264
1
0
21 Oct 2024
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
Neural Information Processing Systems (NeurIPS), 2024
Romain Ilbert
Malik Tiomoko
Cosme Louart
Ambroise Odonnat
Vasilii Feofanov
Themis Palpanas
I. Redko
AI4TS
341
9
0
14 Jun 2024
A phase transition between positional and semantic learning in a solvable model of dot-product attention
Neural Information Processing Systems (NeurIPS), 2024
Hugo Cui
Freya Behrens
Florent Krzakala
Lenka Zdeborová
MLT
284
29
0
06 Feb 2024
High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality
Journal of Statistical Mechanics: Theory and Experiment (J. Stat. Mech.), 2023
Sining Chen
Leonardo Defilippis
Bruno Loureiro
G. Sicuro
269
18
0
28 Sep 2023
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression
Neural Information Processing Systems (NeurIPS), 2023
You-Hyun Baek
S. Berchuck
Sayan Mukherjee
346
1
0
06 Jun 2023
When Does Optimizing a Proper Loss Yield Calibration?
Neural Information Processing Systems (NeurIPS), 2023
Jarosław Błasiok
Parikshit Gopalan
Lunjia Hu
Preetum Nakkiran
304
41
0
30 May 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Neural Information Processing Systems (NeurIPS), 2023
Mert Yuksekgonul
Linjun Zhang
James Zou
Carlos Guestrin
311
28
0
29 May 2023
Expectation consistency for calibration of neural networks
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
UQCV
351
11
0
05 Mar 2023
Universality laws for Gaussian mixtures in generalized linear models
Neural Information Processing Systems (NeurIPS), 2023
Yatin Dandi
Ludovic Stephan
Florent Krzakala
Bruno Loureiro
Lenka Zdeborová
FedML
291
32
0
17 Feb 2023
On double-descent in uncertainty quantification in overparametrized models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
UQCV
551
16
0
23 Oct 2022
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
International Conference on Machine Learning (ICML), 2022
Liam Hodgkinson
Christopher van der Heide
Fred Roosta
Michael W. Mahoney
UQCV
301
8
0
14 Oct 2022
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCV
BDL
991
546
0
17 Jun 2020
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