5 citations · 7 across the 9 of their papers we have counts for
3 papers · 1 filter
Score Design for Multi-Criteria Incentivization
Anmol Kabra, Mina Karzand, Tosca Lechner +2
We present a framework for designing scores to summarize performance metrics. Our design has two multi-criteria objectives: (1) improving on scores should improve all performance m…
Distribution Learnability and Robustness
Shai Ben-David, Alex Bie, Gautam Kamath +1
We examine the relationship between learnability and robust (or agnostic) learnability for the problem of distribution learning. We show that, contrary to other learning settings (…
On the Computability of Robust PAC Learning
Pascale Gourdeau, Tosca Lechner, Ruth Urner
We initiate the study of computability requirements for adversarially robust learning. Adversarially robust PAC-type learnability is by now an established field of research. Howeve…