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20082026
most citedA Survey of Contextual Optimization Methods for Decision Making under Uncertainty

152 citations

Showing 2023Show all

5 papers · 1 filter

math.OC2023★ 3 cited

Fidelity and interruption control for expensive constrained multi-fidelity blackbox optimization

Stéphane Alarie, Charles Audet, Miguel Diago +2

This work introduces a novel blackbox optimization algorithm for computationally expensive constrained multi-fidelity problems. When applying a direct search method to such problem…

math.OC2023★ 7 cited

High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft

Paul Saves, Youssef Diouane, Nathalie Bartoli +2

Recently, there has been a growing interest in mixed-categorical metamodels based on Gaussian Process (GP) for Bayesian optimization. In this context, different approaches can be u…

math.OC2023★ 152 cited

A Survey of Contextual Optimization Methods for Decision Making under Uncertainty

Utsav Sadana, Abhilash Chenreddy, Erick Delage +3

Recently there has been a surge of interest in operations research (OR) and the machine learning (ML) community in combining prediction algorithms and optimization techniques to so…

math.OC2023

Sequential stochastic blackbox optimization with zeroth-order gradient estimators

Charles Audet, Jean Bigeon, Romain Couderc +1

This work considers stochastic optimization problems in which the objective function values can only be computed by a blackbox corrupted by some random noise following an unknown d…

econ.GN2023★ 9 cited

Factor Exposure Heterogeneity in Green and Brown Stocks

David Ardia, Keven Bluteau, Gabriel Lortie-Cloutier +1

Using the peer-exposure ratio, we explore the factor exposure heterogeneity in green and brown stocks. By looking at peer groups of S&P 500 index firms over 2014-2020 based on thei…