2 citations · 3 across the 9 of their papers we have counts for
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math.OC2020
Tracking and regret bounds for online zeroth-order Euclidean and Riemannian optimisation
Alejandro I. Maass, Chris Manzie, Dragan Nesic +2
We study numerical optimisation algorithms that use zeroth-order information to minimise time-varying geodesically-convex cost functions on Riemannian manifolds. In the Euclidean s…
eess.SY2020★ 2 cited
Active Learning for Linear Parameter-Varying System Identification
Robert Chin, Alejandro I. Maass, Nalika Ulapane +5
Active learning is proposed for selection of the next operating points in the design of experiments, for identifying linear parameter-varying systems. We extend existing approaches…