activity
20142024
most citedFast Bayesian experimental design: Laplace-based importance sampling for the expected information gain

79 citations · 93 across the 5 of their papers we have counts for

collaborators

5 papers

stat.CO2024

Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion

Ben Mansour Dia, Michael Fehler, SanLinn I. Kaka +3

We address an optimal sensor placement problem through Bayesian experimental design for seismic full waveform inversion for the recovery of the associated moment tensor. The object…

stat.CO2019

A continuation method in Bayesian inference

Ben Mansour Dia

We present a continuation method that entails generating a sequence of transition probability density functions from the prior to the posterior in the context of Bayesian inference…

math.NA2018

Nesterov-aided Stochastic Gradient Methods using Laplace Approximation for Bayesian Design Optimization

Andre Gustavo Carlon, Ben Mansour Dia, Luis FR Espath +2

Finding the best setup for experiments is the primary concern for Optimal Experimental Design (OED). Here, we focus on the Bayesian experimental design problem of finding the setup…

math.NA2017★ 79 cited

Fast Bayesian experimental design: Laplace-based importance sampling for the expected information gain

Joakim Beck, Ben Mansour Dia, Luis FR Espath +2

In calculating expected information gain in optimal Bayesian experimental design, the computation of the inner loop in the classical double-loop Monte Carlo requires a large number…

math.OC2014★ 14 cited

Mean-Field Games for Marriage

Dario Bauso, Ben Mansour Dia, Boualem Djehiche +2

This article examines mean-field games for marriage. The results support the argument that optimizing the long-term well-being through effort and social feeling state distribution…