4 papers
Synthetic-Powered Multiple Testing with FDR Control
Yonghoon Lee, Meshi Bashari, Edgar Dobriban +1
Multiple hypothesis testing with false discovery rate (FDR) control is a fundamental problem in statistical inference, with broad applications in genomics, drug screening, and outl…
Optimal Decision-Making Based on Prediction Sets
Tao Wang, Edgar Dobriban
Prediction sets can wrap around any ML model to cover unknown test outcomes with a guaranteed probability. Yet, it remains unclear how to use them optimally for downstream decision…
Online Conformal Prediction via Universal Portfolio Algorithms
Tuo Liu, Edgar Dobriban, Francesco Orabona
Online conformal prediction (OCP) seeks prediction intervals that achieve long-run coverage for arbitrary (possibly adversarial) data streams, while remaining as informative…
Solving a Research Problem in Mathematical Statistics with AI Assistance
Edgar Dobriban
Over the last few months, AI models including large language models have improved greatly. There are now several documented examples where they have helped professional mathematica…