3 citations · 14 across the 37 of their papers we have counts for
38 papers
A perspective note on likelihood approximation and inference for complex simulation models using a chain of aggregated normalizing flows
Getachew K Befekadu
We present a new perspective on the problem of likelihood approximation within the framework of simulation-based inference that promotes scalable and controllable simulation routin…
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…
A successive approximation method in functional spaces for hierarchical optimal control problems and its application to learning
Getachew K. Befekadu
We consider a class of learning problem of point estimation for modeling high-dimensional nonlinear functions, whose learning dynamics is guided by model training dataset, while th…
A decision-theoretic model for a principal-agent collaborative learning problem
Getachew K Befekadu
In this technical note, we consider a collaborative learning framework with principal-agent setting, in which the principal at each time-step determines a set of appropriate aggreg…
A naive aggregation algorithm for improving generalization in a class of learning problems
Getachew K Befekadu
In this brief paper, we present a naive aggregation algorithm for a typical learning problem with expert advice setting, in which the task of improving generalization, i.e., model…
A new perspective on the learning dynamics for a class of learning problems via averaged gradient systems coupled with diffusion-transmutation processes
Getachew K. Befekadu
In the first part of this paper, we consider a family of continuous-time dynamical systems coupled with diffusion-transmutation processes. Under certain conditions, such randomly p…
Embedding generalization within the learning dynamics: An approach based-on sample path large deviation theory
Getachew K. Befekadu
We consider a typical learning problem of point estimations for modeling of nonlinear functions or dynamical systems in which generalization, i.e., verifying a given learned model,…
On the rare-event simulations of diffusion processes pertaining to a chain of distributed systems with small random perturbations
Getachew K. Befekadu
In this paper, we consider an importance sampling problem for a certain rare-event simulations involving the behavior of a diffusion process pertaining to a chain of distributed sy…
On Goal-Oriented Multiobjective Embedded Optimization for System Performance Assessment
Getachew K Befekadu
In this short note, we discuss a goal-oriented multiobjective optimization problem for system performance assessment. The objective function for such optimization problem, which is…
Optimal residence time control for stochastically perturbed prescription opioid epidemic models
Getachew K. Befekadu
In this paper, we consider an optimal control problem for a prescription opioid epidemic model that describes the interaction between the regular prescription or addictive use of o…
Optimal control of diffusion processes pertaining to an opioid epidemic dynamical model with random perturbations
Getachew K. Befekadu, Quanyan Zhu
In this paper, we consider the problem of controlling a diffusion process pertaining to an opioid epidemic dynamical model with random perturbation so as to prevent it from leaving…
A further study on the opioid epidemic dynamical model with random perturbation
Getachew K. Befekadu, Quanyan Zhu
In this paper, we consider an opioid epidemic dynamical model with random perturbation that typically describes the interplay between regular prescription use, addictive use, and t…
On the asymptotic of exit problems for controlled Markov diffusion processes with random jumps and vanishing diffusion terms
Getachew K. Befekadu
In this paper, we study the asymptotic of exit problem for controlled Markov diffusion processes with random jumps and vanishing diffusion terms, where the random jumps are introdu…
Large deviation principle for dynamical systems coupled with diffusion-transmutation processes
Getachew K. Befekadu
In this paper, we introduce a mathematical apparatus that is relevant for understanding a dynamical system with small random perturbations and coupled with the so-called transmutat…
On the stochastic decision problems with backward stochastic viability property
Getachew K. Befekadu
In this paper, we consider a stochastic decision problem for a system governed by a stochastic differential equation, in which an optimal decision is made in such a way to minimize…
Acceptable risks and related decision problems with multiple risk-averse agents
Getachew K. Befekadu, Eduardo L. Pasiliao
In this paper, we consider a risk-averse decision problem for controlled-diffusion processes, with dynamic risk measures, in which multiple risk-averse agents choose their decision…
On the dynamic consistency of hierarchical risk-averse decision problems
Getachew K. Befekadu, Eduardo L. Pasiliao
In this paper, we consider a risk-averse decision problem for controlled-diffusion processes, with dynamic risk measures, in which there are two risk-averse decision makers (i.e.,…
On the hierarchical risk-averse control problems for diffusion processes
Getachew K. Befekadu, Alexander Veremyev, Eduardo L. Pasiliao
In this paper, we consider a risk-averse control problem for diffusion processes, in which there is a partition of the admissible control strategy into two decision-making groups (…
Remarks on the hierarchical control problems with model uncertainty
Getachew K. Befekadu, Eduardo L. Pasiliao
In this paper, we consider a hierarchical control problem with model uncertainty. Specifically, we consider the following objectives that we would like to accomplish. The first one…