Statistical Inference Comparison Hub
4 papers - avg viability 4.3
Top Papers
- Prediction-Powered Conditional Inference(7.0)
Improve statistical inference with a prediction-powered estimator that leverages machine learning predictions and unlabeled data to reduce variance and provide sharper confidence intervals.
- Stability and Robustness via Regularization: Bandit Inference via Regularized Stochastic Mirror Descent(4.0)
This paper presents a novel approach to bandit inference that ensures stability and robustness through regularization techniques.
- Spatially Robust Inference with Predicted and Missing at Random Labels(4.0)
A robust statistical inference method for handling missing at random labels in machine learning predictions.
- Statistical Inference via Generative Models: Flow Matching and Causal Inference(2.0)
A theoretical exploration of generative models in statistical inference.