Backward Conformal Prediction

19 May 2025

Papers citing "Backward Conformal Prediction"

27 / 27 papers shown

Title
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 104 35 0 18 Nov 2024
Conformal Risk Minimization with Variance Reduction Sima Noorani Orlando Romero Nicolò Dal Fabbro Hamed Hassani George Pappas 158 3 0 03 Nov 2024
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 John J. Cherian Isaac Gibbs Emmanuel J. Candès 49 31 0 14 Jun 2024
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 Alexander A. Balinsky A. D. Balinsky 62 3 0 28 Mar 2024
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 Guneet Singh Dhillon George Deligiannidis Tom Rainforth 51 10 0 12 Jun 2023
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 68 71 0 28 May 2023
Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision Siddhaarth Sarkar Arun K. Kuchibhotla 110 5 0 12 Apr 2023
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 Ziyu Xu Ruodu Wang Aaditya Ramdas 103 17 0 23 Mar 2022
Learning Optimal Conformal Classifiers David Stutz Krishnamurthy Dvijotham Dvijotham A. Cemgil Arnaud Doucet 120 83 0 18 Oct 2021
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 Anastasios Nikolas Angelopoulos Stephen Bates Jitendra Malik Michael I. Jordan UQCV 148 326 0 29 Sep 2020
False discovery rate control with e-values Ruodu Wang Aaditya Ramdas 62 96 0 06 Sep 2020
Classification with Valid and Adaptive Coverage Yaniv Romano Matteo Sesia Emmanuel J. Candès 222 315 0 03 Jun 2020
E-values: Calibration, combination, and applications V. Vovk Ruodu Wang 41 199 0 12 Dec 2019
Safe Testing Peter Grünwald R. D. Heide Wouter M. Koolen 57 210 0 18 Jun 2019
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 Leying Guan Robert Tibshirani 57 70 0 10 May 2019
Cautious Deep Learning Yotam Hechtlinger Barnabás Póczós Larry A. Wasserman 119 63 0 24 May 2018
Least Ambiguous Set-Valued Classifiers with Bounded Error Levels Mauricio Sadinle Jing Lei Larry A. Wasserman 122 239 0 02 Sep 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 420 37,815 0 09 Mar 2016
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 R. Berk L. Brown A. Buja Kai Zhang Linda H. Zhao 177 583 0 05 Jun 2013