A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees

no code implementations • NeurIPS 2020 • Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant R. Kalagnanam

Several recent publications report advances in training optimal decision trees (ODT) using mixed-integer programs (MIP), due to algorithmic advances in integer programming and a growing interest in addressing the inherent suboptimality of heuristic approaches such as CART.

Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability

no code implementations • NeurIPS 2018 • Michael Tsang, Hanpeng Liu, Sanjay Purushotham, Pavankumar Murali, Yan Liu

Neural networks are known to model statistical interactions, but they entangle the interactions at intermediate hidden layers for shared representation learning.

Additive models Representation Learning