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math.OC2023
Robust A-Optimal Experimental Design for Bayesian Inverse Problems
Ahmed Attia, Sven Leyffer, Todd Munson
Optimal design of experiments for Bayesian inverse problems has recently gained wide popularity and attracted much attention, especially in the computational science and Bayesian i…
math.OC2021★ 18 cited
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments
Ahmed Attia, Sven Leyffer, Todd Munson
We present a novel stochastic approach to binary optimization for optimal experimental design (OED) for Bayesian inverse problems governed by mathematical models such as partial di…
math.OC2020★ 1 cited
Optimal Experimental Design for Inverse Problems in the Presence of Observation Correlations
Ahmed Attia, Emil Constantinescu
Optimal experimental design (OED) is the general formalism of sensor placement and decisions about the data collection strategy for engineered or natural experiments. This approach…