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05/05/2023
Robust A-Optimal Experimental Design for Bayesian Inverse Problems
Optimal design of experiments for Bayesian inverse problems has recently...
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07/29/2022
Compact representations of structured BFGS matrices
For general large-scale optimization problems compact representations ex...
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11/20/2021
Modeling Design and Control Problems Involving Neural Network Surrogates
We consider nonlinear optimization problems that involve surrogate model...
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03/09/2021
BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators
The parameters in Monte Carlo (MC) event generators are tuned on experim...
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02/16/2021
Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics
In this paper we consider the problem of learning a regression function ...
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01/15/2021
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments
We present a novel stochastic approach to binary optimization for optima...
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12/03/2019
Multivariate Rational Approximation
We present two approaches for computing rational approximations to multi...
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10/09/2016