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2011.00716
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PAC Confidence Predictions for Deep Neural Network Classifiers
International Conference on Learning Representations (ICLR), 2020
2 November 2020
Sangdon Park
Shuo Li
Insup Lee
Osbert Bastani
UQCV
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Papers citing
"PAC Confidence Predictions for Deep Neural Network Classifiers"
19 / 19 papers shown
Position: There Is No Free Bayesian Uncertainty Quantification
Ivan Melev
Goeran Kauermann
UQCV
BDL
232
0
0
04 Jun 2025
Conformal Prediction: A Data Perspective
ACM Computing Surveys (ACM CSUR), 2024
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
2.1K
47
0
09 Oct 2024
Distribution-Free Predictive Inference under Unknown Temporal Drift
Elise Han
Chengpiao Huang
Kaizheng Wang
296
0
0
10 Jun 2024
Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction
Ramya Ramalingam
Sangdon Park
Osbert Bastani
266
4
0
24 May 2024
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
Drew T. Nguyen
Reese Pathak
Anastasios Nikolas Angelopoulos
Stephen Bates
Michael I. Jordan
300
3
0
28 Mar 2024
PAC Prediction Sets Under Label Shift
Wenwen Si
Sangdon Park
Insup Lee
Guang Cheng
Osbert Bastani
376
14
0
19 Oct 2023
Distributionally Robust Statistical Verification with Imprecise Neural Networks
International Conference on Hybrid Systems: Computation and Control (HSCC), 2023
Souradeep Dutta
Michele Caprio
Vivian Lin
Matthew Cleaveland
Kuk Jin Jang
I. Ruchkin
O. Sokolsky
Insup Lee
OOD
AAML
911
16
0
28 Aug 2023
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
Annals of Statistics (Ann. Stat.), 2023
Hongxiang Qiu
E. T. Tchetgen
Guang Cheng
OOD
440
11
0
28 Jun 2023
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction
Roel Hulsman
274
6
0
26 Oct 2022
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Minghan Li
Xinyu Crystina Zhang
Ji Xin
Hongyang R. Zhang
Jimmy J. Lin
237
6
0
19 May 2022
Training-conditional coverage for distribution-free predictive inference
Electronic Journal of Statistics (EJS), 2022
Michael Bian
Rina Foygel Barber
311
36
0
07 May 2022
Towards PAC Multi-Object Detection and Tracking
Shuo Li
Sangdon Park
Xiayan Ji
Insup Lee
Osbert Bastani
286
9
0
15 Apr 2022
Confidence Composition for Monitors of Verification Assumptions
International Conference on Cyber-Physical Systems (ICCPS), 2021
I. Ruchkin
Matthew Cleaveland
Radoslav Ivanov
Pengyuan Lu
Taylor J. Carpenter
O. Sokolsky
Insup Lee
344
15
0
03 Nov 2021
Synthesizing Machine Learning Programs with PAC Guarantees via Statistical Sketching
Osbert Bastani
148
0
0
11 Oct 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Anastasios Nikolas Angelopoulos
Stephen Bates
OOD
1.7K
967
0
15 Jul 2021
PAC Prediction Sets Under Covariate Shift
International Conference on Learning Representations (ICLR), 2021
Sangdon Park
Guang Cheng
Insup Lee
Osbert Bastani
337
52
0
17 Jun 2021
Consistent Accelerated Inference via Confident Adaptive Transformers
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Tal Schuster
Adam Fisch
Tommi Jaakkola
Regina Barzilay
AI4TS
555
81
0
18 Apr 2021
Confidence Calibration with Bounded Error Using Transformations
Sooyong Jang
Radoslav Ivanov
Insup Lee
James Weimer
UQCV
216
3
0
25 Feb 2021
Distribution-Free, Risk-Controlling Prediction Sets
Journal of the ACM (JACM), 2021
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Sai Li
OOD
734
263
0
07 Jan 2021
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