From the 1 of 3 linked papers with an AI index.
3 papers
stat.ML2026
Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions
Shuo-Chieh Huang, Chien-Ming Chi, Jau-er Chen
The paper introduces BAND, a sparse Bayesian network method for high‑dimensional distribution estimation that achieves faster polynomial convergence rates by leveraging sparsity-aw…
stat.ML2026
Optimizing High-Dimensional Oblique Splits
Chien-Ming Chi
Evidence suggests that oblique splits can significantly enhance the performance of decision trees. This paper explores the optimization of high-dimensional oblique splits for decis…
stat.ML2025
Constructive Universal Approximation and Sure Convergence for Multi-Layer Neural Networks
Chien-Ming Chi
We propose o1Neuro, a new neural network model built on sparse indicator activation neurons, with two key statistical properties. (1) Constructive universal approximation: At the p…