1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2025
Acceleration Techniques for Learning Optimal Classification Trees with Integer Programming
Mitchell Keegan, Michael Forbes, Paul Corry +1
Decision trees are a popular machine learning model which are traditionally trained by heuristic methods. Massive improvements in computing power and optimisation techniques has le…
cs.LG2023★ 1 cited
Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework
Mitchell Keegan, Mahdi Abolghasemi
The Knapsack Problem is a classic problem in combinatorial optimisation. Solving these problems may be computationally expensive. Recent years have seen a growing interest in the u…