110 citations · 185 across the 21 of their papers we have counts for
6 papers · 1 filter
LineWalker: Line Search for Black Box Derivative-Free Optimization and Surrogate Model Construction
Dimitri J. Papageorgiou, Jan Kronqvist, Krishnan Kumaran
This paper describes a simple, but effective sampling method for optimizing and learning a discrete approximation (or surrogate) of a multi-dimensional function along a one-dimensi…
Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces
Martin Ryner, Jan Kronqvist, Johan Karlsson
This paper presents a framework for computing the Gromov-Wasserstein problem between two sets of points in low dimensional spaces, where the discrepancy is the squared Euclidean no…
Alternating mixed-integer programming and neural network training for approximating stochastic two-stage problems
Jan Kronqvist, Boda Li, Jan Rolfes +1
The presented work addresses two-stage stochastic programs (2SPs), a broadly applicable model to capture optimization problems subject to uncertain parameters with adjustable decis…
A Column Generation Approach for Radiation Therapy Patient Scheduling with Planned Machine Unavailability and Uncertain Future Arrivals
Sara Frimodig, Per Enqvist, Jan Kronqvist
The number of cancer cases per year is rapidly increasing worldwide. In radiation therapy (RT), radiation from linear accelerators is used to kill malignant tumor cells. Scheduling…
Model-based feature selection for neural networks: A mixed-integer programming approach
Shudian Zhao, Calvin Tsay, Jan Kronqvist
In this work, we develop a novel input feature selection framework for ReLU-based deep neural networks (DNNs), which builds upon a mixed-integer optimization approach. While the me…
A mixed-integer approximation of robust optimization problems with mixed-integer adjustments
Jan Kronqvist, Boda Li, Jan Rolfes
In the present article we propose a mixed-integer approximation of adjustable-robust optimization (ARO) problems, that have both, continuous and discrete variables on the lowest le…