Prediction-Powered Inference

23 January 2023

Anastasios Nikolas Angelopoulos

Papers citing "Prediction-Powered Inference"

49 / 49 papers shown

Title
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data Julian Rodemann James Bailie SSL 53 1 0 12 May 2025
Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation Hannes Waldetoft Jakob Torgander Måns Magnusson 29 0 0 05 May 2025
A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation Yangxinyu Xie Bowen Jiang Tanwi Mallick Joshua Bergerson John K Hutchison ... Robert B. Ross Yan Feng L. Levy Weijie J. Su Camillo J Taylor 32 1 0 24 Apr 2025
Double Machine Learning for Causal Inference under Shared-State Interference Chris Hays Manish Raghavan CML 53 0 0 10 Apr 2025
Reliable algorithm selection for machine learning-guided design Clara Fannjiang Ji Won Park 71 0 0 26 Mar 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 209 0 0 13 Mar 2025
Causal Inference on Outcomes Learned from Text Iman Modarressi Jann Spiess A. Venugopal CML SyDa 50 0 0 02 Mar 2025
AI-Powered Bayesian Inference Veronika Rockova Sean O'Hagan 59 0 0 26 Feb 2025
Context-Aware Doubly-Robust Semi-Supervised Learning Clement Ruah Houssem Sifaou Osvaldo Simeone Bashir M. Al-Hashimi 70 0 0 24 Feb 2025
Accelerating Unbiased LLM Evaluation via Synthetic Feedback Zhaoyi Zhou Yuda Song Andrea Zanette ALM 73 0 0 14 Feb 2025
FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Stefano Cortinovis François Caron 81 0 0 04 Feb 2025
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images Xiaoge Zhang Tao Wang Chao Yan Fedaa Najdawi Kai Zhou Yuan Ma Yiu-ming Cheung Bradley Malin MedIm 42 0 0 03 Jan 2025
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets Yuxin Wang Maresa Schröder Dennis Frauen J. Schweisthal Konstantin Hess Stefan Feuerriegel CML 78 0 0 16 Dec 2024
Semi-Supervised Risk Control via Prediction-Powered Inference Bat-Sheva Einbinder Liran Ringel Yaniv Romano 79 0 0 15 Dec 2024
Another look at inference after prediction Jessica L. Gronsbell Jianhui Gao Yaqi Shi Z. McCaw David Cheng 67 0 0 29 Nov 2024
Auto-Evaluation with Few Labels through Post-hoc Regression Benjamin Eyre David Madras 75 1 0 19 Nov 2024
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 50 5 0 17 Oct 2024
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 34 1 0 12 Oct 2024
Local Prediction-Powered Inference Yanwu Gu Dong Xia 34 0 0 26 Sep 2024
Federated Prediction-Powered Inference from Decentralized Data Ping Luo Xiaoge Deng Ziqing Wen Tao Sun Dongsheng Li FedML 35 0 0 03 Sep 2024
Measuring text summarization factuality using atomic facts entailment metrics in the context of retrieval augmented generation N. E. Kriman HILM 51 0 0 27 Aug 2024
Meta-Analysis with Untrusted Data Shiva Kaul Geoffrey J. Gordon CML 32 1 0 12 Jul 2024
Active, anytime-valid risk controlling prediction sets Ziyu Xu Nikos Karampatziakis Paul Mineiro 31 1 0 15 Jun 2024
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation Riccardo Fogliato Pratik Patil Mathew Monfort Pietro Perona 24 1 0 11 Jun 2024
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation Adam Fisch Joshua Maynez R. A. Hofer Bhuwan Dhingra Amir Globerson William W. Cohen 41 8 0 06 Jun 2024
Prediction-powered Generalization of Causal Inferences Ilker Demirel Ahmed M. Alaa Anthony Philippakis David Sontag OOD 39 2 0 05 Jun 2024
Task-Agnostic Machine Learning-Assisted Inference J. Miao Qiongshi Lu 29 4 0 30 May 2024
From Conformal Predictions to Confidence Regions Charles Guille-Escuret Eugene Ndiaye 37 1 0 28 May 2024
A Note on the Prediction-Powered Bootstrap Tijana Zrnic 35 3 0 28 May 2024
Smoke and Mirrors in Causal Downstream Tasks Riccardo Cadei Lukas Lindorfer Sylvia Cremer Cordelia Schmid Francesco Locatello CML 38 3 0 27 May 2024
A distribution-free valid p-value for finite samples of bounded random variables Joaquin Alvarez 25 1 0 14 May 2024
Bayesian Prediction-Powered Inference R. A. Hofer Joshua Maynez Bhuwan Dhingra Adam Fisch Amir Globerson William W. Cohen 26 2 0 09 May 2024
AutoEval Done Right: Using Synthetic Data for Model Evaluation Pierre Boyeau Anastasios Nikolas Angelopoulos N. Yosef Jitendra Malik Michael I. Jordan SyDa 35 14 0 09 Mar 2024
Active Statistical Inference Tijana Zrnic Emmanuel J. Candès 26 10 0 05 Mar 2024
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? Kentaro Hoffman Stephen Salerno Awan Afiaz J. Leek Tyler H. McCormick 25 4 0 14 Jan 2024
Prediction De-Correlated Inference: A safe approach for post-prediction inference Feng Gan Wanfeng Liang Changliang Zou 18 0 0 11 Dec 2023
Human-in-the-Loop Visual Re-ID for Population Size Estimation Gustavo Pérez Daniel Sheldon Grant Van Horn Subhransu Maji 23 0 0 08 Dec 2023
Assumption-lean and Data-adaptive Post-Prediction Inference J. Miao Xinran Miao Yixuan Wu Jiwei Zhao Qiongshi Lu 21 11 0 23 Nov 2023
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms J. Brunekreef Eric Marcus Ray Sheombarsing J. Sonke Jonas Teuwen 34 4 0 20 Nov 2023
Equal Opportunity of Coverage in Fair Regression Fangxin Wang Lu Cheng Ruocheng Guo Kay Liu Philip S. Yu 27 14 0 03 Nov 2023
PPI++: Efficient Prediction-Powered Inference Anastasios Nikolas Angelopoulos John C. Duchi Tijana Zrnic 24 35 0 02 Nov 2023
Cross-Prediction-Powered Inference Tijana Zrnic Emmanuel J. Candès 40 23 0 28 Sep 2023
Revisiting inference after prediction Keshav Motwani Daniela Witten 9 2 0 23 Jun 2023
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models Naoki Egami Musashi Jacobs-Harukawa Brandon M Stewart Hanying Wei 24 15 0 07 Jun 2023
Doubly Robust Self-Training Banghua Zhu Mingyu Ding P. Jacobson Ming Wu Wei Zhan Michael I. Jordan Jiantao Jiao 13 6 0 01 Jun 2023
When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality Jose H. Blanchet Haoxuan Chen Yiping Lu Lexing Ying 41 3 0 25 May 2023
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings Abhishek Chakrabortty Guorong Dai Ray Carroll 13 9 0 25 Jan 2022
Estimating means of bounded random variables by betting Ian Waudby-Smith Aaditya Ramdas 59 148 0 19 Oct 2020