4 papers
BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators
Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller +5
The parameters in Monte Carlo (MC) event generators are tuned on experimental measurements by evaluating the goodness of fit between the data and the MC predictions. The relative i…
Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics
Jongeun Kim, Sven Leyffer, Prasanna Balaprakash
In this paper we consider the problem of learning a regression function without assuming its functional form. This problem is referred to as symbolic regression. An expression tree…
Multivariate Rational Approximation
Anthony P. Austin, Mohan Krishnamoorthy, Sven Leyffer +3
We present two approaches for computing rational approximations to multivariate functions, motivated by their effectiveness as surrogate models for high-energy physics (HEP) applic…
A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings
Fu Lin, Sven Leyffer, Todd Munson
We study a two-stage mixed-integer linear program (MILP) with more than 1 million binary variables in the second stage. We develop a two-level approach by constructing a semi-coars…