ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.00394
  4. Cited By
Improving Conditional Coverage via Orthogonal Quantile Regression

Improving Conditional Coverage via Orthogonal Quantile Regression

1 June 2021
Shai Feldman
Stephen Bates
Yaniv Romano
ArXivPDFHTML

Papers citing "Improving Conditional Coverage via Orthogonal Quantile Regression"

13 / 13 papers shown
Title
One Model to Forecast Them All and in Entity Distributions Bind Them
Kutay Bölat
Simon Tindemans
AI4TS
58
0
0
28 Jan 2025
Wasserstein-regularized Conformal Prediction under General Distribution Shift
Wasserstein-regularized Conformal Prediction under General Distribution Shift
Rui Xu
Chao Chen
Yue Sun
Parvathinathan Venkitasubramaniam
Sihong Xie
35
1
0
23 Jan 2025
Conformalized Interval Arithmetic with Symmetric Calibration
Conformalized Interval Arithmetic with Symmetric Calibration
Rui Luo
Zhixin Zhou
75
4
0
03 Jan 2025
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
T. Pouplin
Alan Jeffares
Nabeel Seedat
Mihaela van der Schaar
58
3
0
05 Jun 2024
Conformal Prediction with Learned Features
Conformal Prediction with Learned Features
Shayan Kiyani
George Pappas
Hamed Hassani
28
8
0
26 Apr 2024
Conformalized Multimodal Uncertainty Regression and Reasoning
Conformalized Multimodal Uncertainty Regression and Reasoning
Mimmo Parente
Nastaran Darabi
Alex C. Stutts
Theja Tulabandhula
A. R. Trivedi
UQCV
34
7
0
20 Sep 2023
Adaptive Conformal Regression with Jackknife+ Rescaled Scores
Adaptive Conformal Regression with Jackknife+ Rescaled Scores
N. Deutschmann
Mattia Rigotti
María Rodríguez Martínez
26
10
0
31 May 2023
Design-based conformal prediction
Design-based conformal prediction
J. Wieczorek
16
2
0
02 Mar 2023
Improving Uncertainty Quantification of Variance Networks by
  Tree-Structured Learning
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning
Wenxuan Ma
Xing Yan
Kun Zhang
UQCV
33
0
0
24 Dec 2022
Image-to-Image Regression with Distribution-Free Uncertainty
  Quantification and Applications in Imaging
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
T. Alshaabi
S. Upadhyayula
Yaniv Romano
UQCV
OOD
19
94
0
10 Feb 2022
Calibrated Multiple-Output Quantile Regression with Representation
  Learning
Calibrated Multiple-Output Quantile Regression with Representation Learning
Shai Feldman
Stephen Bates
Yaniv Romano
53
33
0
02 Oct 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
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
185
2,578
0
28 Mar 2008
1