97 citations · 543 across the 40 of their papers we have counts for
6 papers · 1 filter
Inference under Information Constraints I: Lower Bounds from Chi-Square Contraction
Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi
Multiple players are each given one independent sample, about which they can only provide limited information to a central referee. Each player is allowed to describe its observed…
Test without Trust: Optimal Locally Private Distribution Testing
Jayadev Acharya, Clément L. Canonne, Cody Freitag +1
We study the problem of distribution testing when the samples can only be accessed using a locally differentially private mechanism and focus on two representative testing question…
Learning and Testing Causal Models with Interventions
Jayadev Acharya, Arnab Bhattacharyya, Constantinos Daskalakis +1
We consider testing and learning problems on causal Bayesian networks as defined by Pearl (Pearl, 2009). Given a causal Bayesian network on a graph with discrete…
Distributed Simulation and Distributed Inference
Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi
Independent samples from an unknown probability distribution on a domain of size are distributed across players, with each player holding one sample. Each player ca…
INSPECTRE: Privately Estimating the Unseen
Jayadev Acharya, Gautam Kamath, Ziteng Sun +1
We develop differentially private methods for estimating various distributional properties. Given a sample from a discrete distribution , some functional , and accuracy and p…
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
We study the problem of estimating -ary distributions under -local differential privacy. samples are distributed across users who send privatized versions of th…