2 papers
stat.ME2026
Hierarchical Bayes meets hierarchical forecasting: A flexible framework for level-focused forecasts
Arwen Nugteren, Mahdi Abolghasemi, Kerrie Mengersen +1
Decision-making in hierarchical systems requires probabilistic forecasts at all cross-sectional levels. Current hierarchical forecasting methods typically generate independent fore…
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…