We study worst-case growth-rate optimal (GROW) E-variables for hypothesi...
Top Two algorithms arose as an adaptation of Thompson sampling to best a...
Different users of machine learning methods require different explanatio...
We consider a stochastic bandit problem with a possibly infinite number ...
We investigate and provide new insights on the sampling rule called Top-...
We study generalized Bayesian inference under misspecification, i.e. whe...
We present a new theory of hypothesis testing. The main concept is the
S...
It is often claimed that Bayesian methods, in particular Bayes factor me...