Generalized Optimal Sparse Decision Trees

By Jimmy J. Lin, Chudi Zhong, Diane Hu, Cynthia Rudin, Margo I. Seltzer. 2020

5 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Zhi Chen
2. Cynthia Rudin
3. Valentina Zantedeschi
4. Alexander C. Ogren
5. Vlad Niculae
6. Matt J. Kusner
7. L. Catherine Brinson
8. Chiara Daraio

Citations in the corpus

• How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning (2021, methodology): “Input: simulated coarse resolution (10× 10) dataset D := {xi, yi}(2) 15 i=1, xi ∈ {0, 1}(15): raw features; yi: band gap label Parameters: set of shapes S; tree sparsity regularization λ (see [18]); K, (see Section 4.”
• Learning Binary Trees via Sparse Relaxation (2020, result): “This resulted in a line of recent follow-up works (Günlük et al., 2018; Aghaei et al., 2019; Verwer & Zhang, 2019; Hu et al., 2019; Aghaei et al., 2020; Lin et al., 2020).”