15 citations · 19 across the 2 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 4 cited
Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning
Kaiwen Wang, Travis Dick, Maria-Florina Balcan
This paper introduces the first provably accurate algorithms for differentially private, top-down decision tree learning in the distributed setting (Balcan et al., 2012). We propos…
cs.LG2020
Algorithms and Learning for Fair Portfolio Design
Emily Diana, Travis Dick, Hadi Elzayn +5
We consider a variation on the classical finance problem of optimal portfolio design. In our setting, a large population of consumers is drawn from some distribution over risk tole…
cs.LG2020★ 15 cited
Random Smoothing Might be Unable to Certify Robustness for High-Dimensional Images
Avrim Blum, Travis Dick, Naren Manoj +1
We show a hardness result for random smoothing to achieve certified adversarial robustness against attacks in the ball of radius when . Although random smoothing…