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Improving Conditional Coverage via Orthogonal Quantile Regression

1 June 2021

Papers citing "Improving Conditional Coverage via Orthogonal Quantile Regression"

33 / 33 papers shown

Title
Scalable and adaptive prediction bands with kernel sum-of-squares Louis Allain Sébastien Da Veiga B. Staber 56 0 0 27 May 2025
Epistemic Uncertainty in Conformal Scores: A Unified Approach Luben M. C. Cabezas Vagner S. Santos Thiago Rodrigo Ramos Rafael Izbicki 520 1 0 10 Feb 2025
One Model to Forecast Them All and in Entity Distributions Bind Them Kutay Bölat Simon Tindemans AI4TS 105 0 0 26 Jan 2025
Wasserstein-regularized Conformal Prediction under General Distribution Shift Rui Xu Chao Chen Yue Sun Parvathinathan Venkitasubramaniam Sihong Xie 125 1 0 23 Jan 2025
Conformalized Interval Arithmetic with Symmetric Calibration Rui Luo Zhixin Zhou 484 6 0 03 Jan 2025
Tube Loss: A Novel Approach for Prediction Interval Estimation and probabilistic forecasting Pritam Anand Tathagata Bandyopadhyay Suresh Chandra 120 2 0 08 Dec 2024
Adjusting Regression Models for Conditional Uncertainty Calibration Ruijiang Gao Mingzhang Yin James McInerney Nathan Kallus 103 0 0 26 Sep 2024
Length Optimization in Conformal Prediction Shayan Kiyani George Pappas Hamed Hassani 119 17 0 27 Jun 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 476 3 0 05 Jun 2024
Conformal Prediction for Natural Language Processing: A Survey Margarida M. Campos António Farinhas Chrysoula Zerva Mário A. T. Figueiredo André F. T. Martins AI4CE 270 18 0 03 May 2024
Conformal Prediction with Learned Features Shayan Kiyani George Pappas Hamed Hassani 88 11 0 26 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Mohit Bansal AI4CE 89 1 0 23 Apr 2024
Online conformal prediction with decaying step sizes Anastasios Nikolas Angelopoulos Rina Foygel Barber Stephen Bates 235 27 0 02 Feb 2024
Equal Opportunity of Coverage in Fair Regression Fangxin Wang Lu Cheng Ruocheng Guo Kay Liu Philip S. Yu 220 16 0 03 Nov 2023
Conformalized Multimodal Uncertainty Regression and Reasoning Mimmo Parente Nastaran Darabi Alex C. Stutts Theja Tulabandhula A. R. Trivedi UQCV 84 8 0 20 Sep 2023
Calibration in Machine Learning Uncertainty Quantification: beyond consistency to target adaptivity Pascal Pernot 78 11 0 12 Sep 2023
Integrating Uncertainty Awareness into Conformalized Quantile Regression Raphael Rossellini Rina Foygel Barber Rebecca Willett 195 10 0 14 Jun 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression Victor Dheur Souhaib Ben Taieb BDL 196 14 0 05 Jun 2023
Adaptive Conformal Regression with Jackknife+ Rescaled Scores N. Deutschmann Mattia Rigotti María Rodríguez Martínez 74 10 0 31 May 2023
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods Shang Liu Zhongze Cai Xiaocheng Li 50 4 0 20 May 2023
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier Aditya Challa Snehanshu Saha S. Dhavala UQCV 74 2 0 25 Apr 2023
Conformalized Unconditional Quantile Regression Ahmed Alaa Zeshan Hussain David Sontag 84 9 0 04 Apr 2023
Validation of uncertainty quantification metrics: a primer based on the consistency and adaptivity concepts P. Pernot 88 6 0 13 Mar 2023
Design-based conformal prediction J. Wieczorek 58 2 0 02 Mar 2023
Likelihood Annealing: Fast Calibrated Uncertainty for Regression Uddeshya Upadhyay Jae Myung Kim Cordelia Schmidt Bernhard Schölkopf Zeynep Akata BDL UQCV 102 1 0 21 Feb 2023
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning Wenxuan Ma Xing Yan Kun Zhang UQCV 66 0 0 24 Dec 2022
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification Xing Yan Yonghua Su Wenxuan Ma UQCV 97 2 0 26 Nov 2022
Split Localized Conformal Prediction Xing Han Ziyang Tang Joydeep Ghosh Qiang Liu 90 19 0 27 Jun 2022
Achieving Risk Control in Online Learning Settings Shai Feldman Liran Ringel Stephen Bates Yaniv Romano 157 30 0 18 May 2022
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging Anastasios Nikolas Angelopoulos Amit Kohli Stephen Bates Michael I. Jordan Jitendra Malik Thayer Alshaabi Srigokul Upadhyayula Yaniv Romano UQCV OOD 86 96 0 10 Feb 2022
Calibrated Multiple-Output Quantile Regression with Representation Learning Shai Feldman Stephen Bates Yaniv Romano 212 36 0 02 Oct 2021
Sample-Efficient Safety Assurances using Conformal Prediction Rachel Luo Shengjia Zhao Jonathan Kuck Boris Ivanovic Silvio Savarese Edward Schmerling Marco Pavone 241 59 0 28 Sep 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 281 625 0 15 Jul 2021