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math.ST2026

Strong duality for the GROW criterion

Ashwin Ram, Martin Larsson, Johannes Ruf +1

This paper presents general strong duality results when testing hypotheses by betting against them. A bet is an e-variable for a composite null hypothesis $\Pcal$: a nonnegative ra…

math.ST2026

Optimal sequential tests yield log-optimal e-processes

Ashwin Ram, Aaditya Ramdas

It has been recently shown that e-processes are sufficient for sequential testing in the following sense: every level- sequential test can be obtained by thresholding an e-proc…

math.ST2026

The optimal betting wealth growth rate

Ashwin Ram, Aaditya Ramdas

This paper characterizes the best possible rate of growth of wealth in a Kelly betting game when repeatedly betting against a general i.i.d. null hypothesis , but the…

math.ST2026

Power one sequential tests exist for weakly compact against

Ashwin Ram, Aaditya Ramdas

Suppose we observe data from a distribution and we wish to test the composite null hypothesis that against a composite alternative $P\in \mathscr Q\subseteq \m…

math.ST2026

Asymptotically optimal sequential change detection for bounded means

Ashwin Ram, Aaditya Ramdas

We consider the problem of quickest changepoint detection under the Average Run Length (ARL) constraint where the pre-change and post-change laws lie in composite families $\mathsc…

math.ST2026

An Asymptotic Law of the Iterated Logarithm for

Ashwin Ram, Aaditya Ramdas

The population is a fundamental quantity that appears in lower bounds for (asymptotically) optimal regret of pure-exploration stochastic bandit algorithms, and…