2 papers
math.ST2026
Sequential Conditional Independence Testing with Machine Learning Models
Angel Reyero-Lobo, Michele Meziu, Sebastian Uriel Arias +1
Conditional independence testing is a ubiquitous problem in scientific discovery. The widely employed model-X assumption shifts the modelling burden from the dependence of the outp…
stat.ML2025
Confidence Estimation via Sequential Likelihood Mixing
Johannes Kirschner, Andreas Krause, Michele Meziu +1
We present a universal framework for constructing confidence sets based on sequential likelihood mixing. Building upon classical results from sequential analysis, we provide a unif…