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math.ST2021
Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?
Dominic Richards, Edgar Dobriban, Patrick Rebeschini
Methods for learning from data depend on various types of tuning parameters, such as penalization strength or step size. Since performance can depend strongly on these parameters,…
math.ST2021
Consistency of invariance-based randomization tests
Edgar Dobriban
Invariance-based randomization tests -- such as permutation tests, rotation tests, or sign changes -- are an important and widely used class of statistical methods. They allow draw…