2 papers
cs.LG2026
Nonlinear Bayesian Estimator for Parameter Learning: A Fixed-Point Characterization
Sasan Vakili, Daniël Woonings, Pradyumna Paruchuri +1
This paper presents a nonlinear parameter estimator for Wiener-type state-space models obtained as a fixed-point architecture that couples two affine minimum mean-squared error (MM…
cs.LG2025
Optimal Bayesian Affine Estimator and Active Learning for the Wiener Model
Sasan Vakili, Manuel Mazo, Peyman Mohajerin Esfahani
This paper presents a Bayesian estimation framework for Wiener models, focusing on learning nonlinear output functions under known linear state dynamics. We derive a closed-form op…