Adaptive, Distribution-Free Prediction Intervals for Deep Networks

Adaptive, Distribution-Free Prediction Intervals for Deep Networks

25 May 2019

Kory D. Johnson

Papers citing "Adaptive, Distribution-Free Prediction Intervals for Deep Networks"

12 / 12 papers shown

Title
Conformal Thresholded Intervals for Efficient Regression Rui Luo Zhixin Zhou 196 5 0 03 Jan 2025
Weighted Aggregation of Conformity Scores for Classification Rui Luo Zhixin Zhou 160 10 0 14 Jul 2024
Reliable Prediction Intervals with Regression Neural Networks Harris Papadopoulos H. Haralambous 137 111 0 15 Dec 2023
Conformalized Quantile Regression Yaniv Romano Evan Patterson Emmanuel J. Candès 164 601 0 08 May 2019
Single-Model Uncertainties for Deep Learning Natasa Tagasovska David Lopez-Paz UQCV BDL 79 25 0 02 Nov 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 116 626 0 01 Jul 2018
Calibrated Prediction Intervals for Neural Network Regressors Gil Keren N. Cummins Björn Schuller UQCV 54 31 0 26 Mar 2018
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach Tim Pearce Mohamed H. Zaki Alexandra Brintrup A. Neely UQCV 38 276 0 20 Feb 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 458 5,748 0 05 Dec 2016
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 159 831 0 14 Apr 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 403 27,231 0 02 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 431 9,233 0 06 Jun 2015