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Understanding the Under-Coverage Bias in Uncertainty Estimation

Understanding the Under-Coverage Bias in Uncertainty Estimation

10 June 2021
Yu Bai
Song Mei
Huan Wang
Caiming Xiong
    UQCV
ArXivPDFHTML

Papers citing "Understanding the Under-Coverage Bias in Uncertainty Estimation"

13 / 13 papers shown
Title
Building Conformal Prediction Intervals with Approximate Message Passing
Building Conformal Prediction Intervals with Approximate Message Passing
Lucas Clarté
Lenka Zdeborová
31
1
0
21 Oct 2024
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional
  Reinforcement Learning
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning
Parvin Malekzadeh
Zissis Poulos
Jacky Chen
Zeyu Wang
Konstantinos N. Plataniotis
36
1
0
22 Aug 2024
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value
  Theory
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory
NS KarthikSomayaji
Yu Wang
M. Schram
Ján Drgoňa
M. Halappanavar
Frank Liu
Peng Li
30
1
0
24 Aug 2023
Efficient Uncertainty Quantification and Reduction for
  Over-Parameterized Neural Networks
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Ziyi Huang
Henry Lam
Haofeng Zhang
UQCV
33
4
0
09 Jun 2023
Calibrating Multimodal Learning
Calibrating Multimodal Learning
Huanrong Zhang
Changqing Zhang
Bing Wu
Huazhu Fu
Qiufeng Wang
Q. Hu
62
17
0
02 Jun 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Mert Yuksekgonul
Linjun Zhang
James Zou
Carlos Guestrin
32
20
0
29 May 2023
Theoretical characterization of uncertainty in high-dimensional linear
  classification
Theoretical characterization of uncertainty in high-dimensional linear classification
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
42
20
0
07 Feb 2022
Quantifying Epistemic Uncertainty in Deep Learning
Quantifying Epistemic Uncertainty in Deep Learning
Ziyi Huang
Henry Lam
Haofeng Zhang
UQCV
BDL
UD
PER
24
12
0
23 Oct 2021
Model-free Bootstrap and Conformal Prediction in Regression:
  Conditionality, Conjecture Testing, and Pertinent Prediction Intervals
Model-free Bootstrap and Conformal Prediction in Regression: Conditionality, Conjecture Testing, and Pertinent Prediction Intervals
Y. Wang
D. Politis
16
6
0
24 Sep 2021
Distribution-Free, Risk-Controlling Prediction Sets
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
195
187
0
07 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
278
5,695
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
Cross-conformal predictors
Cross-conformal predictors
V. Vovk
138
198
0
03 Aug 2012
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