3 citations · 7 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
Risk-Constrained Linear-Quadratic Regulators
Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon +2
We propose a new risk-constrained reformulation of the standard Linear Quadratic Regulator (LQR) problem. Our framework is motivated by the fact that the classical (risk-neutral) L…
Online Learning of the Kalman Filter with Logarithmic Regret
Anastasios Tsiamis, George Pappas
In this paper, we consider the problem of predicting observations generated online by an unknown, partially observed linear system, which is driven by stochastic noise. For such sy…