Uniform, nonparametric, non-asymptotic confidence sequences

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Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift (2018, methodology): “Our work suggests several open questions that might offer promising paths for future work, including (i) shift detection for online data, which would require us to account for and exploit the high degree of correlation between adjacent time steps [22]; and, since we have mostly explored a standard i”
Sequential estimation of quantiles with applications to A/B testing and best-arm identification (2019, methodology): “As an alternative to (32), one may use a one-sided variant of f̃t from (10); see Howard et al. (2018a, Proposition 7) for details.”
Safe Testing (2019, methodology): “…conﬁdence intervals (see the previous section), we may want to aim for the conditional e-variables that lead to the conﬁdence intervals that shrink to 0 at the fastest possible rate, which for regular 1-dimensional parameters of interest is usually O (( loglog n )/ n ) (Howard et al., 2021).”