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Cross-Prediction-Powered Inference

Cross-Prediction-Powered Inference

28 September 2023
Tijana Zrnic
Emmanuel J. Candès
ArXivPDFHTML

Papers citing "Cross-Prediction-Powered Inference"

17 / 17 papers shown
Title
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Julian Rodemann
James Bailie
SSL
37
1
0
12 May 2025
AI-Powered Bayesian Inference
AI-Powered Bayesian Inference
Veronika Rockova
Sean O'Hagan
54
0
0
26 Feb 2025
FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
Stefano Cortinovis
François Caron
71
0
0
04 Feb 2025
Constructing Confidence Intervals for Average Treatment Effects from
  Multiple Datasets
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets
Yuxin Wang
Maresa Schröder
Dennis Frauen
J. Schweisthal
Konstantin Hess
Stefan Feuerriegel
CML
67
0
0
16 Dec 2024
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
Another look at inference after prediction
Another look at inference after prediction
Jessica L. Gronsbell
Jianhui Gao
Yaqi Shi
Z. McCaw
David Cheng
59
0
0
29 Nov 2024
ipd: An R Package for Conducting Inference on Predicted Data
ipd: An R Package for Conducting Inference on Predicted Data
Stephen Salerno
J. Miao
Awan Afiaz
Kentaro Hoffman
Anna Neufeld
Qiongshi Lu
Tyler H. McCormick
J. Leek
17
1
0
12 Oct 2024
A Framework for Efficient Model Evaluation through Stratification,
  Sampling, and Estimation
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
Riccardo Fogliato
Pratik Patil
Mathew Monfort
Pietro Perona
18
1
0
11 Jun 2024
Stratified Prediction-Powered Inference for Hybrid Language Model
  Evaluation
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation
Adam Fisch
Joshua Maynez
R. A. Hofer
Bhuwan Dhingra
Amir Globerson
William W. Cohen
34
7
0
06 Jun 2024
Task-Agnostic Machine Learning-Assisted Inference
Task-Agnostic Machine Learning-Assisted Inference
J. Miao
Qiongshi Lu
16
4
0
30 May 2024
A Note on the Prediction-Powered Bootstrap
A Note on the Prediction-Powered Bootstrap
Tijana Zrnic
17
3
0
28 May 2024
Smoke and Mirrors in Causal Downstream Tasks
Smoke and Mirrors in Causal Downstream Tasks
Riccardo Cadei
Lukas Lindorfer
Sylvia Cremer
Cordelia Schmid
Francesco Locatello
CML
16
3
0
27 May 2024
Active Statistical Inference
Active Statistical Inference
Tijana Zrnic
Emmanuel J. Candès
19
10
0
05 Mar 2024
Prediction-Powered Ranking of Large Language Models
Prediction-Powered Ranking of Large Language Models
Ivi Chatzi
Eleni Straitouri
Suhas Thejaswi
Manuel Gomez Rodriguez
ALM
29
5
0
27 Feb 2024
Prediction De-Correlated Inference: A safe approach for post-prediction
  inference
Prediction De-Correlated Inference: A safe approach for post-prediction inference
Feng Gan
Wanfeng Liang
Changliang Zou
11
0
0
11 Dec 2023
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in
  High Dimensional Settings
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings
Abhishek Chakrabortty
Guorong Dai
Ray Carroll
9
8
0
25 Jan 2022
A Generalizable and Accessible Approach to Machine Learning with Global
  Satellite Imagery
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
Esther Rolf
J. Proctor
T. Carleton
I. Bolliger
Vaishaal Shankar
Miyabi Ishihara
Benjamin Recht
S. Hsiang
80
120
0
16 Oct 2020
1