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. 2106.09848
  4. Cited By
PAC Prediction Sets Under Covariate Shift

PAC Prediction Sets Under Covariate Shift

17 June 2021
Sangdon Park
Edgar Dobriban
Insup Lee
Osbert Bastani
ArXivPDFHTML

Papers citing "PAC Prediction Sets Under Covariate Shift"

30 / 30 papers shown
Title
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts
Sunay Joshi
Shayan Kiyani
George Pappas
Edgar Dobriban
Hamed Hassani
68
0
0
18 Feb 2025
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
Shayan Kiyani
George Pappas
Aaron Roth
Hamed Hassani
107
3
0
04 Feb 2025
Semi-Supervised Risk Control via Prediction-Powered Inference
Semi-Supervised Risk Control via Prediction-Powered Inference
Bat-Sheva Einbinder
Liran Ringel
Yaniv Romano
74
0
0
15 Dec 2024
Fundus Image-based Visual Acuity Assessment with PAC-Guarantees
Fundus Image-based Visual Acuity Assessment with PAC-Guarantees
Sooyong Jang
Kuk Jin Jang
Hyonyoung Choi
Yong-Seop Han
Seongjin Lee
Jin-hyun Kim
Insup Lee
70
0
0
09 Dec 2024
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
77
3
0
09 Oct 2024
Distribution-Free Predictive Inference under Unknown Temporal Drift
Distribution-Free Predictive Inference under Unknown Temporal Drift
Elise Han
Chengpiao Huang
Kaizheng Wang
32
0
0
10 Jun 2024
Uncertainty Quantification for Neurosymbolic Programs via Compositional
  Conformal Prediction
Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction
Ramya Ramalingam
Sangdon Park
Osbert Bastani
26
1
0
24 May 2024
Conformal Risk Control for Ordinal Classification
Conformal Risk Control for Ordinal Classification
Yunpeng Xu
Wenge Guo
Zhi Wei
17
6
0
01 May 2024
SymmPI: Predictive Inference for Data with Group Symmetries
SymmPI: Predictive Inference for Data with Group Symmetries
Edgar Dobriban
Mengxin Yu
13
2
0
26 Dec 2023
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of
  Large Language Models
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
32
8
0
22 Nov 2023
PAC Prediction Sets Under Label Shift
PAC Prediction Sets Under Label Shift
Wenwen Si
Sangdon Park
Insup Lee
Edgar Dobriban
Osbert Bastani
33
9
0
19 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved
  Calibration and Model Selection in Unsupervised Domain Adaptation
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation
Taejong Joo
Diego Klabjan
33
1
0
16 Oct 2023
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal
  Prediction
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
Shuo Li
Sangdon Park
Insup Lee
Osbert Bastani
RALM
HILM
17
8
0
07 Jul 2023
Efficient and Multiply Robust Risk Estimation under General Forms of
  Dataset Shift
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
Hongxiang Qiu
E. T. Tchetgen
Edgar Dobriban
OOD
15
7
0
28 Jun 2023
ACon$^2$: Adaptive Conformal Consensus for Provable Blockchain Oracles
ACon2^22: Adaptive Conformal Consensus for Provable Blockchain Oracles
Sangdon Park
Osbert Bastani
Taesoo Kim
22
9
0
17 Nov 2022
Conformal Frequency Estimation using Discrete Sketched Data with
  Coverage for Distinct Queries
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries
Matteo Sesia
Stefano Favaro
Edgar Dobriban
13
8
0
09 Nov 2022
Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering via
  Machine Learning
Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering via Machine Learning
Sangdon Park
Xiang Cheng
Taesoo Kim
24
1
0
31 Oct 2022
Distribution-Free Finite-Sample Guarantees and Split Conformal
  Prediction
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction
Roel Hulsman
14
5
0
26 Oct 2022
Test-time Recalibration of Conformal Predictors Under Distribution Shift
  Based on Unlabeled Examples
Test-time Recalibration of Conformal Predictors Under Distribution Shift Based on Unlabeled Examples
Fatih Yilmaz
Reinhard Heckel
13
0
0
09 Oct 2022
Calibrated Selective Classification
Calibrated Selective Classification
Adam Fisch
Tommi Jaakkola
Regina Barzilay
21
16
0
25 Aug 2022
PAC Prediction Sets for Meta-Learning
PAC Prediction Sets for Meta-Learning
Sangdon Park
Edgar Dobriban
Insup Lee
Osbert Bastani
15
15
0
06 Jul 2022
Conformal prediction set for time-series
Conformal prediction set for time-series
Chen Xu
Yao Xie
AI4TS
6
10
0
15 Jun 2022
Robust Calibration with Multi-domain Temperature Scaling
Robust Calibration with Multi-domain Temperature Scaling
Yaodong Yu
Stephen Bates
Yi-An Ma
Michael I. Jordan
OOD
UQCV
11
33
0
06 Jun 2022
Conformal Prediction with Temporal Quantile Adjustments
Conformal Prediction with Temporal Quantile Adjustments
Zhen Lin
Shubhendu Trivedi
Jimeng Sun
AI4TS
49
18
0
20 May 2022
Training-conditional coverage for distribution-free predictive inference
Training-conditional coverage for distribution-free predictive inference
Michael Bian
Rina Foygel Barber
22
25
0
07 May 2022
Learning Augmentation Distributions using Transformed Risk Minimization
Learning Augmentation Distributions using Transformed Risk Minimization
Evangelos Chatzipantazis
Stefanos Pertigkiozoglou
Kostas Daniilidis
Edgar Dobriban
38
15
0
16 Nov 2021
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
  Control
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
95
126
0
03 Oct 2021
Few-shot Conformal Prediction with Auxiliary Tasks
Few-shot Conformal Prediction with Auxiliary Tasks
Adam Fisch
Tal Schuster
Tommi Jaakkola
Regina Barzilay
176
53
0
17 Feb 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
176
185
0
07 Jan 2021
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Sangdon Park
Osbert Bastani
Nikolai Matni
Insup Lee
UQCV
131
68
0
31 Dec 2019
1