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PPI++: Efficient Prediction-Powered Inference

PPI++: Efficient Prediction-Powered Inference

2 November 2023
Anastasios Nikolas Angelopoulos
John C. Duchi
Tijana Zrnic
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Papers citing "PPI++: Efficient Prediction-Powered Inference"

24 / 24 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
Validating LLM-as-a-Judge Systems in the Absence of Gold Labels
Luke M. Guerdan
Solon Barocas
Kenneth Holstein
Hanna M. Wallach
Zhiwei Steven Wu
Alexandra Chouldechova
ALM
ELM
156
0
0
13 Mar 2025
AI-Powered Bayesian Inference
AI-Powered Bayesian Inference
Veronika Rockova
Sean O'Hagan
54
0
0
26 Feb 2025
Context-Aware Doubly-Robust Semi-Supervised Learning
Context-Aware Doubly-Robust Semi-Supervised Learning
Clement Ruah
Houssem Sifaou
Osvaldo Simeone
Bashir M. Al-Hashimi
58
0
0
24 Feb 2025
Accelerating Unbiased LLM Evaluation via Synthetic Feedback
Accelerating Unbiased LLM Evaluation via Synthetic Feedback
Zhaoyi Zhou
Yuda Song
Andrea Zanette
ALM
68
0
0
14 Feb 2025
FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
Stefano Cortinovis
François Caron
73
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
65
0
0
29 Nov 2024
Auto-Evaluation with Few Labels through Post-hoc Regression
Auto-Evaluation with Few Labels through Post-hoc Regression
Benjamin Eyre
David Madras
59
1
0
19 Nov 2024
Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data
Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data
Florian E. Dorner
Vivian Y. Nastl
Moritz Hardt
ELM
ALM
35
5
0
17 Oct 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
19
1
0
12 Oct 2024
Local Prediction-Powered Inference
Local Prediction-Powered Inference
Yanwu Gu
Dong Xia
27
0
0
26 Sep 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
20
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
18
4
0
30 May 2024
A Note on the Prediction-Powered Bootstrap
A Note on the Prediction-Powered Bootstrap
Tijana Zrnic
19
3
0
28 May 2024
AutoEval Done Right: Using Synthetic Data for Model Evaluation
AutoEval Done Right: Using Synthetic Data for Model Evaluation
Pierre Boyeau
Anastasios Nikolas Angelopoulos
N. Yosef
Jitendra Malik
Michael I. Jordan
SyDa
23
14
0
09 Mar 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
Do We Really Even Need Data?
Do We Really Even Need Data?
Kentaro Hoffman
Stephen Salerno
Awan Afiaz
J. Leek
Tyler H. McCormick
15
4
0
14 Jan 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
13
0
0
11 Dec 2023
Assumption-lean and Data-adaptive Post-Prediction Inference
Assumption-lean and Data-adaptive Post-Prediction Inference
J. Miao
Xinran Miao
Yixuan Wu
Jiwei Zhao
Qiongshi Lu
11
11
0
23 Nov 2023
Cross-Prediction-Powered Inference
Cross-Prediction-Powered Inference
Tijana Zrnic
Emmanuel J. Candès
30
23
0
28 Sep 2023
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