228 citations · 868 across the 43 of their papers we have counts for
4 papers · 1 filter
Online Learning via the Differential Privacy Lens
Jacob Abernethy, Young Hun Jung, Chansoo Lee +2
In this paper, we use differential privacy as a lens to examine online learning in both full and partial information settings. The differential privacy framework is, at heart, less…
A Data Science Approach to Understanding Residential Water Contamination in Flint
Alex Chojnacki, Chengyu Dai, Arya Farahi +5
When the residents of Flint learned that lead had contaminated their water system, the local government made water-testing kits available to them free of charge. The city governmen…
On Convergence and Stability of GANs
Naveen Kodali, Jacob Abernethy, James Hays +1
We propose studying GAN training dynamics as regret minimization, which is in contrast to the popular view that there is consistent minimization of a divergence between real and ge…
Bounded-Loss Private Prediction Markets
Rafael Frongillo, Bo Waggoner
Prior work has investigated variations of prediction markets that preserve participants' (differential) privacy, which formed the basis of useful mechanisms for purchasing data for…