PPI++: Efficient Prediction-Powered Inference

Fundamentals of Statistical Exponential Families

L. D. Brown · 1986

Earlier work this paper cites.

Estimation of regression coefficients when some regressors are not always observed

J. M. Robins, A. Rotnitzky, and L. P. Zhao · 1994

Earlier work this paper cites.

Semiparametric efficiency in multivariate regression models with missing data

J. M. Robins and A. Rotnitzky · 1995

Earlier work this paper cites.

Weak Convergence and Empirical Processes: With Applications to Statistics

A. W. van der Vaart and J. A. Wellner · 1996

Earlier work this paper cites.

Efficient and Adaptive Estimation for Semiparametric Models

P. Bickel, C. A. J. Klaassen, Y. Ritov, and J. Wellner · 1998

Earlier work this paper cites.

Asymptotic Statistics

A. W. van der Vaart · 1998

Earlier work this paper cites.

Model assisted survey sampling

C.-E. Särndal, B. Swensson, and J. Wretman · 2003

Earlier work this paper cites.

Convex Optimization

S. Boyd and L. Vandenberghe · 2004

Earlier work this paper cites.

Semiparametric Theory and Missing Data

A. Tsiatis · 2006

Cited alongside, same era.

Deep learning

Y. LeCun, Y. Bengio, and G. Hinton · 2015

Cited alongside, same era.

XGBoost: A scalable tree boosting system

T. Chen and C. Guestrin · 2016

Cited alongside, same era.

Double/debiased machine learning for treatment and structural parameters

V. Chernozhukov, D. Chetverikov, M. Demirer, E. Duflo, C. Hansen, W. Newey, and J. Robins · 2018

Cited alongside, same era.

Multiple imputation

D. B. Rubin · 2018

Cited alongside, same era.

Three principles of data science: predictability, computability, and stability (PCS)

B. Yu · 2018

Cited alongside, same era.

Semi-supervised inference: General theory and estimation of means

Retiring Adult: New datasets for fair machine learning

F. Ding, M. Hardt, J. Miller, and L. Schmidt · 2021

Later among the works it cites.

Highly accurate protein structure prediction with AlphaFold

J. Jumper, R. Evans, A. Pritzel, T. Green, M. Figurnov, K. Tunyasuvunakool, O. Ronneberger, R. Bates, A. Zidek, A. Bridgland, C. Meyer, S. A. A. Kohl, A. Potapenko, A. J. Ballard, A. Cowie, B. Romera-Paredes, S. Nikolov, R. Jain, J. Adler, T. Back, S. Petersen, D. Reiman, M. Steinegger, M. Pacholska, D. Silver, O. Vinyals, A. W. Senior, K. Kavukcuoglu, P. Kohli, and D. Hassabis · 2021

Later among the works it cites.

Learning transferable visual models from natural language supervision

A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, G. Krueger, and I. Sutskever · 2021

Later among the works it cites.

Exponential Families in Theory and Practice

B. Efron · 2022

Later among the works it cites.

High-dimensional semi-supervised learning: in search of optimal inference of the mean

Y. Zhang and J. Bradic · 2022

Later among the works it cites.