4 papers
Literati: Towards Anytime Optimal Shape Generalized Trees via AO*
Nakul Upadhya, Eldan Cohen
Decision trees are prized for their interpretability and strong performance on tabular data, but popular greedy top-down induction algorithms can yield suboptimal and unnecessarily…
Empowering Decision Trees via Shape Function Branching
Nakul Upadhya, Eldan Cohen
Decision trees are prized for their interpretability and strong performance on tabular data. Yet, their reliance on simple axis-aligned linear splits often forces deep, complex str…
NeurCAM: Interpretable Neural Clustering via Additive Models
Nakul Upadhya, Eldan Cohen
Interpretable clustering algorithms aim to group similar data points while explaining the obtained groups to support knowledge discovery and pattern recognition tasks. While most a…
Optimizing Transition Strategies for Small to Medium Sized Portfolios
Nakul Upadhya, Alexandre Granzer-Guay
This work discusses the benefits of constrained portfolio turnover strategies for small to medium-sized portfolios. We propose a dynamic multi-period model that aims to minimize tr…