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math.OC2021
Encrypted Distributed Lasso for Sparse Data Predictive Control
Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas
The least squares problem with L1-regularized regressors, called Lasso, is a widely used approach in optimization problems where sparsity of the regressors is desired. This formula…
math.OC2020★ 1 cited
Sparse Approximate Solutions to Max-Plus Equations with Application to Multivariate Convex Regression
Nikos Tsilivis, Anastasios Tsiamis, Petros Maragos
In this work, we study the problem of finding approximate, with minimum support set, solutions to matrix max-plus equations, which we call sparse approximate solutions. We show how…