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Locally Valid and Discriminative Prediction Intervals for Deep Learning
  Models

Locally Valid and Discriminative Prediction Intervals for Deep Learning Models

1 June 2021
Zhen Lin
Shubhendu Trivedi
Jimeng Sun
ArXivPDFHTML

Papers citing "Locally Valid and Discriminative Prediction Intervals for Deep Learning Models"

7 / 7 papers shown
Title
Normalizing Flows for Conformal Regression
Normalizing Flows for Conformal Regression
Nicolo Colombo
38
6
0
05 Jun 2024
Conformal Prediction via Regression-as-Classification
Conformal Prediction via Regression-as-Classification
E. Guha
Shlok Natarajan
Thomas Möllenhoff
Mohammad Emtiyaz Khan
Eugène Ndiaye
22
11
0
12 Apr 2024
Adaptive Conformal Regression with Jackknife+ Rescaled Scores
Adaptive Conformal Regression with Jackknife+ Rescaled Scores
N. Deutschmann
Mattia Rigotti
María Rodríguez Martínez
21
10
0
31 May 2023
Adaptive Modeling of Uncertainties for Traffic Forecasting
Adaptive Modeling of Uncertainties for Traffic Forecasting
Ying Wu
Yongchao Ye
Adnan Zeb
James J. Q. Yu
Z. Wang
AI4TS
24
7
0
16 Mar 2023
Approximating Full Conformal Prediction at Scale via Influence Functions
Approximating Full Conformal Prediction at Scale via Influence Functions
Javier Abad
Umang Bhatt
Adrian Weller
Giovanni Cherubin
27
10
0
02 Feb 2022
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
270
5,660
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
279
9,136
0
06 Jun 2015
1