551 citations · 1.1k across the 33 of their papers we have counts for
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stat.ML2023
Robust empirical risk minimization via Newton's method
Eirini Ioannou, Muni Sreenivas Pydi, Po-Ling Loh
A new variant of Newton's method for empirical risk minimization is studied, where at each iteration of the optimization algorithm, the gradient and Hessian of the objective functi…
math.ST2023★ 1 cited
Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints
Ankit Pensia, Amir R. Asadi, Varun Jog +1
We study simple binary hypothesis testing under both local differential privacy (LDP) and communication constraints. We qualify our results as either minimax optimal or instance op…