most citedAdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

math.OC2023★ 2 cited

AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces

João Victor Galvão da Mata, Martin S. Andersen

We introduce AdaSub, a stochastic optimization algorithm that computes a search direction based on second-order information in a low-dimensional subspace that is defined adaptively…

eess.SY2023

Direct System Identification of Dynamical Networks with Partial Measurements: a Maximum Likelihood Approach

João Victor Galvão da Mata, Anders Hansson, Martin S. Andersen

This paper introduces a novel direct approach to system identification of dynamic networks with missing data based on maximum likelihood estimation. Dynamic networks generally pres…