activity
20162021
most citedRobust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic

7 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2021

Privacy Amplification via Iteration for Shuffled and Online PNSGD

Matteo Sordello, Zhiqi Bu, Jinshuo Dong

In this paper, we consider the framework of privacy amplification via iteration, which is originally proposed by Feldman et al. and subsequently simplified by Asoodeh et al. in the…

stat.ML2019★ 7 cited

Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic

Matteo Sordello, Niccolò Dalmasso, Hangfeng He +1

This paper proposes SplitSGD, a new dynamic learning rate schedule for stochastic optimization. This method decreases the learning rate for better adaptation to the local geometry…

math.PR2019

A Bernstein type inequality for sums of selections from three dimensional arrays

Debapratim Banerjee, Matteo Sordello

We consider the three dimensional array , with , and the two random statistics $T_{1}:= \sum_{i=1}^n \sum_{j=1}…

stat.ME2019

A Test for Differential Ascertainment in Case-Control Studies with Application to Child Maltreatment

Matteo Sordello, Dylan S. Small

We propose a method to test for the presence of differential ascertainment in case-control studies, when data are collected by multiple sources. We show that, when differential asc…

math.PR2016★ 1 cited

Clustering dynamics in a class of normalised generalised gamma dependent priors

Matteo Ruggiero, Matteo Sordello

Normalised generalised gamma processes are random probability measures that induce nonparametric prior distributions widely used in Bayesian statistics, particularly for mixture mo…