Neyman
PulseAugur coverage of Neyman — every cluster mentioning Neyman across labs, papers, and developer communities, ranked by signal.
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Transformers mimic Bayesian teachers for efficient ATE estimation
Researchers have developed a novel approach using transformer models to improve the efficiency of adaptive experiments for estimating average treatment effects (ATE). These "Bayesian in-context experimenters" are traine…
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AI oversight allocation method learns task reliability
A new research paper proposes a method for optimally allocating human oversight in AI-enabled analytics systems. The approach addresses the challenge of uneven AI reliability across different tasks by learning and adapt…
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New PPCI Framework Enhances Causal Inference with Auxiliary Data
Researchers have introduced a new framework called Prediction-Powered Causal Inference (PPCI) to improve the estimation of causal and structural parameters. This method leverages unlabeled auxiliary regressors alongside…
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Debiased ML: Neyman orthogonal score guides Riesz regression for better balancing
This paper proposes that balancing functions in debiased machine learning should originate from the Neyman orthogonal score, rather than solely relying on covariates. The authors argue that while covariate balancing is …