activity
20182026
most citedA combined ocean and oil model for model-based adaptive monitoring

2 citations · 3 across the 7 of their papers we have counts for

collaborators

11 papers

stat.ML2026

Empirical Risk Minimization with -Divergence Regularization

Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza +1

In this paper, the solution to the empirical risk minimization problem with -divergence regularization (ERM-DR) is presented and conditions under which the solution also serv…

stat.ML2025

A Dual Optimization View to Empirical Risk Minimization with f-Divergence Regularization

Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza

The dual formulation of empirical risk minimization with f-divergence regularization (ERM-fDR) is introduced. The solution of the dual optimization problem to the ERM-fDR is connec…

stat.ML2025

Generalization Error of -Divergence Stabilized Algorithms via Duality

Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza +1

The solution to empirical risk minimization with -divergence regularization (ERM-DR) is extended to constrained optimization problems, establishing conditions for equivalence…

eess.SY2022

An information theoretic vulnerability metric for data integrity attacks on smart grids

Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza +1

A novel metric that describes the vulnerability of the measurements in power systems to data integrity attacks is proposed. The new metric, coined vulnerability index (VuIx), lever…

eess.SY2021

Data-Injection Attacks

Iñaki Esnaola, Samir M. Perlaza, Ke Sun

In this chapter we review some of the basic attack constructions that exploit a stochastic description of the state variables. We pose the state estimation problem in a Bayesian se…

eess.SY2019

Optimal Model-Based Sensor Placement & Adaptive Monitoring Of An Oil Spill

Zak Hodgson, Inaki Esnaola, Bryn Jones

This paper presents a model based adaptive monitoring method for the estimation of flow tracers, with application to mapping, prediction and observation of oil spills in the immedi…