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stat.ML2026
Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions
Shuo-Chieh Huang, Chien-Ming Chi, Jau-er Chen
Minimax-optimal rates for multivariate distribution estimation are known to suffer from the curse of dimensionality. We propose a sparse Bayesian network approach in which each con…
stat.ML2023
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data
Shuo-Chieh Huang, Ruey S. Tsay
Feature-distributed data, referred to data partitioned by features and stored across multiple computing nodes, are increasingly common in applications with a large number of featur…