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Backward Conformal Prediction

Backward Conformal Prediction

19 May 2025
Etienne Gauthier
Francis Bach
Michael I. Jordan
ArXivPDFHTML

Papers citing "Backward Conformal Prediction"

27 / 27 papers shown
Title
Minimum Volume Conformal Sets for Multivariate Regression
Minimum Volume Conformal Sets for Multivariate Regression
Sacha Braun
Liviu Aolaritei
Michael I. Jordan
Francis Bach
102
3
0
24 Mar 2025
Theoretical Foundations of Conformal Prediction
Anastasios Nikolas Angelopoulos
Rina Foygel Barber
Stephen Bates
102
35
0
18 Nov 2024
Conformal Risk Minimization with Variance Reduction
Conformal Risk Minimization with Variance Reduction
Sima Noorani
Orlando Romero
Nicolò Dal Fabbro
Hamed Hassani
George Pappas
156
3
0
03 Nov 2024
Length Optimization in Conformal Prediction
Length Optimization in Conformal Prediction
Shayan Kiyani
George Pappas
Hamed Hassani
69
15
0
27 Jun 2024
Large language model validity via enhanced conformal prediction methods
Large language model validity via enhanced conformal prediction methods
John J. Cherian
Isaac Gibbs
Emmanuel J. Candès
49
31
0
14 Jun 2024
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free
  Prediction
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
Drew T. Nguyen
Reese Pathak
Anastasios Nikolas Angelopoulos
Stephen Bates
Michael I. Jordan
76
2
0
28 Mar 2024
Enhancing Conformal Prediction Using E-Test Statistics
Enhancing Conformal Prediction Using E-Test Statistics
Alexander A. Balinsky
A. D. Balinsky
60
3
0
28 Mar 2024
Transductive conformal inference with adaptive scores
Transductive conformal inference with adaptive scores
Ulysse Gazin
Gilles Blanchard
Étienne Roquain
39
11
0
27 Oct 2023
On the Expected Size of Conformal Prediction Sets
On the Expected Size of Conformal Prediction Sets
Guneet Singh Dhillon
George Deligiannidis
Tom Rainforth
51
10
0
12 Jun 2023
Conformal Prediction with Large Language Models for Multi-Choice
  Question Answering
Conformal Prediction with Large Language Models for Multi-Choice Question Answering
Bhawesh Kumar
Cha-Chen Lu
Gauri Gupta
Anil Palepu
David R. Bellamy
Ramesh Raskar
Andrew L. Beam
65
71
0
28 May 2023
Post-selection Inference for Conformal Prediction: Trading off Coverage
  for Precision
Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision
Siddhaarth Sarkar
Arun K. Kuchibhotla
107
5
0
12 Apr 2023
Improving Uncertainty Quantification of Deep Classifiers via
  Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis
Subhankar Ghosh
Taha Belkhouja
Yan Yan
J. Doppa
UQCV
91
18
0
19 Mar 2023
Post-selection inference for e-value based confidence intervals
Post-selection inference for e-value based confidence intervals
Ziyu Xu
Ruodu Wang
Aaditya Ramdas
101
17
0
23 Mar 2022
Learning Optimal Conformal Classifiers
Learning Optimal Conformal Classifiers
David Stutz
Krishnamurthy Dvijotham
Dvijotham
A. Cemgil
Arnaud Doucet
118
83
0
18 Oct 2021
Distribution-free uncertainty quantification for classification under
  label shift
Distribution-free uncertainty quantification for classification under label shift
Aleksandr Podkopaev
Aaditya Ramdas
UQCV
43
86
0
04 Mar 2021
Uncertainty Sets for Image Classifiers using Conformal Prediction
Uncertainty Sets for Image Classifiers using Conformal Prediction
Anastasios Nikolas Angelopoulos
Stephen Bates
Jitendra Malik
Michael I. Jordan
UQCV
144
326
0
29 Sep 2020
False discovery rate control with e-values
False discovery rate control with e-values
Ruodu Wang
Aaditya Ramdas
62
96
0
06 Sep 2020
Classification with Valid and Adaptive Coverage
Classification with Valid and Adaptive Coverage
Yaniv Romano
Matteo Sesia
Emmanuel J. Candès
214
315
0
03 Jun 2020
E-values: Calibration, combination, and applications
E-values: Calibration, combination, and applications
V. Vovk
Ruodu Wang
41
199
0
12 Dec 2019
Safe Testing
Safe Testing
Peter Grünwald
R. D. Heide
Wouter M. Koolen
57
210
0
18 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
123
17,950
0
28 May 2019
Prediction and outlier detection in classification problems
Prediction and outlier detection in classification problems
Leying Guan
Robert Tibshirani
57
70
0
10 May 2019
Cautious Deep Learning
Cautious Deep Learning
Yotam Hechtlinger
Barnabás Póczós
Larry A. Wasserman
115
63
0
24 May 2018
Least Ambiguous Set-Valued Classifiers with Bounded Error Levels
Least Ambiguous Set-Valued Classifiers with Bounded Error Levels
Mauricio Sadinle
Jing Lei
Larry A. Wasserman
120
239
0
02 Sep 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
398
37,815
0
09 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.5K
192,638
0
10 Dec 2015
Valid post-selection inference
Valid post-selection inference
R. Berk
L. Brown
A. Buja
Kai Zhang
Linda H. Zhao
175
583
0
05 Jun 2013
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