60 citations · 234 across the 39 of their papers we have counts for
41 papers
Measuring multi-calibration
Ido Guy, Daniel Haimovich, Fridolin Linder +4
A suitable scalar metric can help measure multi-calibration, defined as follows. When the expected values of observed responses are equal to corresponding predicted probabilities,…
Cumulative differences between subpopulations versus body mass index in the Behavioral Risk Factor Surveillance System data
Mark Tygert
Prior works have demonstrated many advantages of cumulative statistics over the classical methods of reliability diagrams, ECEs (empirical, estimated, or expected calibration error…
Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds
Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten +2
Protecting privacy during inference with deep neural networks is possible by adding noise to the activations in the last layers prior to the final classifiers or other task-specifi…
Cumulative differences between paired samples
Isabel Kloumann, Hannah Korevaar, Chris McConnell +2
The simplest, most common paired samples consist of observations from two populations, with each observed response from one population corresponding to an observed response from th…
An efficient algorithm for integer lattice reduction
François Charton, Kristin Lauter, Cathy Li +1
A lattice of integers is the collection of all linear combinations of a set of vectors for which all entries of the vectors are integers and all coefficients in the linear combinat…
Ties in ranking scores can be treated as weighted samples
Mark Tygert
Prior proposals for cumulative statistics suggest making tiny random perturbations to the scores (independent variables in a regression) in order to ensure the scores' uniqueness.…