PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction

31 December 2019

Papers citing "PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction"

22 / 22 papers shown

Title
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 88 3 0 09 Oct 2024
Conformal Structured Prediction Botong Zhang Shuo Li Osbert Bastani 35 0 0 08 Oct 2024
Conformal Prediction with Learned Features Shayan Kiyani George Pappas Hamed Hassani 23 8 0 26 Apr 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 40 12 0 16 Apr 2024
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception Anushri Dixit Zhiting Mei Meghan Booker Mariko Storey-Matsutani Mariko Storey-Matsutani Allen Z. Ren Ola Shorinwa Anirudha Majumdar 29 5 0 13 Mar 2024
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models Thomas P. Zollo Todd Morrill Zhun Deng Jake C. Snell T. Pitassi Richard Zemel 43 8 0 22 Nov 2023
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling Léo Andéol Thomas Fel F. D. Grancey Luca Mossina 21 11 0 12 Apr 2023
PAC-Based Formal Verification for Out-of-Distribution Data Detection Mohit Prashant Arvind Easwaran OODD 34 1 0 04 Apr 2023
Conformal Prediction Regions for Time Series using Linear Complementarity Programming Matthew Cleaveland Insup Lee George J. Pappas Lars Lindemann 30 29 0 03 Apr 2023
PAC Prediction Sets for Large Language Models of Code Adam Khakhar Stephen Mell Osbert Bastani 22 6 0 17 Feb 2023
Improved Online Conformal Prediction via Strongly Adaptive Online Learning Aadyot Bhatnagar Haiquan Wang Caiming Xiong Yu Bai AI4TS 33 47 0 15 Feb 2023
Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering via Machine Learning Sangdon Park Xiang Cheng Taesoo Kim 29 1 0 31 Oct 2022
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction Roel Hulsman 21 5 0 26 Oct 2022
PAC Prediction Sets for Meta-Learning Sangdon Park Yan Sun Insup Lee Osbert Bastani 36 15 0 06 Jul 2022
Recommendation Systems with Distribution-Free Reliability Guarantees Anastasios Nikolas Angelopoulos K. Krauth Stephen Bates Yixin Wang Michael I. Jordan 40 12 0 04 Jul 2022
PAC-Wrap: Semi-Supervised PAC Anomaly Detection Shuo Li Xiayan Ji Yan Sun O. Sokolsky Insup Lee 25 14 0 22 May 2022
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking Minghan Li Xinyu Crystina Zhang Ji Xin Hongyang R. Zhang Jimmy J. Lin 38 6 0 19 May 2022
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Emmanuel J. Candès Michael I. Jordan Lihua Lei 100 125 0 03 Oct 2021
PAC Prediction Sets Under Covariate Shift Sangdon Park Yan Sun Insup Lee Osbert Bastani 32 42 0 17 Jun 2021
Private Prediction Sets Anastasios Nikolas Angelopoulos Stephen Bates Tijana Zrnic Michael I. Jordan 16 11 0 11 Feb 2021
PAC Confidence Predictions for Deep Neural Network Classifiers Sangdon Park Shuo Li Insup Lee Osbert Bastani UQCV 24 25 0 02 Nov 2020
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation Sangdon Park Osbert Bastani James Weimer Insup Lee 23 52 0 29 Feb 2020