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20062021
most citedAsymptotic Convergence of Thompson Sampling

3 citations · 14 across the 13 of their papers we have counts for

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Showing cs.ITShow all

19 papers · 1 filter

cs.IT2021

Pointwise Bounds for Distribution Estimation under Communication Constraints

Wei-Ning Chen, Peter Kairouz, Ayfer Özgür

We consider the problem of estimating a -dimensional discrete distribution from its samples observed under a -bit communication constraint. In contrast to most previous resul…

cs.IT2021

Over-the-Air Statistical Estimation

Chuan-Zheng Lee, Leighton Pate Barnes, Ayfer Ozgur

We study schemes and lower bounds for distributed minimax statistical estimation over a Gaussian multiple-access channel (MAC) under squared error loss, in a framework combining st…

cs.IT2020

Strong Privacy and Utility Guarantee: Over-the-Air Statistical Estimation

Wenhao Zhan

We consider the privacy problem of statistical estimation from distributed data, where users communicate to a central processor over a Gaussian multiple-access channel(MAC). To avo…

cs.IT20202 cited

Information Constrained Optimal Transport: From Talagrand, to Marton, to Cover

Yikun Bai, Xiugang Wu, Ayfer Ozgur

The optimal transport problem studies how to transport one measure to another in the most cost-effective way and has wide range of applications from economics to machine learning.…

cs.IT2020

Fisher information under local differential privacy

Leighton Pate Barnes, Wei-Ning Chen, Ayfer Ozgur

We develop data processing inequalities that describe how Fisher information from statistical samples can scale with the privacy parameter under local differential pr…

cs.IT2020

The Courtade-Kumar Most Informative Boolean Function Conjecture and a Symmetrized Li-Médard Conjecture are Equivalent

Leighton Pate Barnes, Ayfer Özgür

We consider the Courtade-Kumar most informative Boolean function conjecture for balanced functions, as well as a conjecture by Li and Médard that dictatorship functions also maximi…