7 papers
Simulation-based parameter estimation via a combination of embedded normalizing flows and implied empirical probabilities under moment restrictions
Getachew K. Befekadu
In this work, we present a simulation-based parameter estimation framework for a model defined by a computational simulation of a physical system. We specifically outline an estima…
Simulation-based Bayesian inference with ameliorative learned summary statistics -- Part I
Getachew K. Befekadu
This paper, which is Part 1 of a two-part paper series, considers a simulation-based inference with learned summary statistics, in which such a learned summary statistic serves as…
A brief note on learning problem with global perspectives
Getachew K. Befekadu
This brief note considers the problem of learning with dynamic-optimizing principal-agent setting, in which the agents are allowed to have global perspectives about the learning pr…
On characterizing optimal learning trajectories in a class of learning problems
Getachew K Befekadu
In this brief paper, we provide a mathematical framework that exploits the relationship between the maximum principle and dynamic programming for characterizing optimal learning tr…
On improving generalization in a class of learning problems with the method of small parameters for weakly-controlled optimal gradient systems
Getachew K. Befekadu
In this paper, we provide a mathematical framework for improving generalization in a class of learning problems which is related to point estimations for modeling of high-dimension…
Further extensions on the successive approximation method for hierarchical optimal control problems and its application to learning
Getachew K. Befekadu
In this paper, further extensions of the result of the paper "A successive approximation method in functional spaces for hierarchical optimal control problems and its application t…