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Utility/Privacy Trade-off through the lens of Optimal Transport
v1v2v3 (latest)

Utility/Privacy Trade-off through the lens of Optimal Transport

International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
27 May 2019
Etienne Boursier
Vianney Perchet
ArXiv (abs)PDFHTML

Papers citing "Utility/Privacy Trade-off through the lens of Optimal Transport"

3 / 3 papers shown
Title
Privacy Amplification via Shuffling for Linear Contextual Bandits
Privacy Amplification via Shuffling for Linear Contextual Bandits
Evrard Garcelon
Kamalika Chaudhuri
Vianney Perchet
Matteo Pirotta
FedML
285
20
0
11 Dec 2021
Local Differential Privacy for Regret Minimization in Reinforcement
  Learning
Local Differential Privacy for Regret Minimization in Reinforcement Learning
Evrard Garcelon
Vianney Perchet
Ciara Pike-Burke
Matteo Pirotta
300
40
0
15 Oct 2020
Super-efficiency of automatic differentiation for functions defined as a
  minimum
Super-efficiency of automatic differentiation for functions defined as a minimumInternational Conference on Machine Learning (ICML), 2020
Pierre Ablin
Gabriel Peyré
Thomas Moreau
190
42
0
10 Feb 2020
1