239 citations · 477 across the 25 of their papers we have counts for
27 papers
An identity involving counts of binary matrices
Hannes Leeb
In the context of generating uniform random contingency tables with pre-specified marginals, the number of (binary) matrices with given row- and column-sums is a well-studied objec…
Uncertainty quantification via cross-validation and its variants under algorithmic stability
Nicolai Amann, Hannes Leeb, Lukas Steinberger
Recently, there has been substantial interest in statistical guarantees for cross-validation (CV) methods of uncertainty quantification in statistical learning (cf. Barber et al. 2…
A Tale of Two Referees
Hannes Leeb
Success in academia hinges on publishing in top tier journals. This requires innovative results. And this requires clear and convincing presentation of said results. Presentation c…
A (tight) upper bound for the length of confidence intervals with conditional coverage
Danijel Kivaranovic, Hannes Leeb
We show that two popular selective inference procedures, namely data carving (Fithian et al., 2017) and selection with a randomized response (Tian et al., 2018b), when combined wit…
Conformal prediction intervals for the individual treatment effect
Danijel Kivaranovic, Robin Ristl, Martin Posch +1
We propose several prediction intervals procedures for the individual treatment effect with either finite-sample or asymptotic coverage guarantee in a non-parametric regression set…
Adaptive, Distribution-Free Prediction Intervals for Deep Networks
Danijel Kivaranovic, Kory D. Johnson, Hannes Leeb
The machine learning literature contains several constructions for prediction intervals that are intuitively reasonable but ultimately ad-hoc in that they do not come with provable…