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20062025
most citedDifferentially Private Empirical Risk Minimization

542 citations · 1.1k across the 46 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

stat.ML2018★ 2 cited

Predictive Learning on Hidden Tree-Structured Ising Models

Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate

We provide high-probability sample complexity guarantees for exact structure recovery and accurate predictive learning using noise-corrupted samples from an acyclic (tree-shaped) g…

cs.IT2018

Quadratically Constrained Channels with Causal Adversaries

Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi +2

We consider the problem of communication over a channel with a causal jamming adversary subject to quadratic constraints. A sender Alice wishes to communicate a message to a receiv…

cs.IT2018

Coordination Using Individually Shared Randomness

Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate

Two processors output correlated sequences using the help of a coordinator with whom they individually share independent randomness. For the case of unlimited shared randomness, we…

stat.ML2018★ 36 cited

Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization

Hafiz Imtiaz, Anand D. Sarwate

In many signal processing and machine learning applications, datasets containing private information are held at different locations, requiring the development of distributed priva…

cs.IT2018

Quadratically Constrained Myopic Adversarial Channels

Yihan Zhang, Shashank Vatedka, Sidharth Jaggi +1

We study communication in the presence of a jamming adversary where quadratic power constraints are imposed on the transmitter and the jammer. The jamming signal is allowed to be a…