3 papers
stat.ML2024
Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD
Sungdong Lee, Joshua Bang, Youngrae Kim +3
Graphical model estimation from multi-omics data requires a balance between statistical estimation performance and computational scalability. We introduce a novel pseudolikelihood-…
math.OC2024
Discrete Consensus-Based Optimization
Junhyeok Byeon, Seung-Yeal Ha, Joong-Ho Won
We propose Discrete Consensus-Based Optimization (DCBO), a fully discrete version of the Consensus-Based Optimization (CBO) framework. DCBO is a multi-agent method for the global o…
stat.ML2024
On the Correctness of the Generalized Isotonic Recursive Partitioning Algorithm
Joong-Ho Won, Jihan Jung
This paper presents an in-depth analysis of the generalized isotonic recursive partitioning (GIRP) algorithm for fitting isotonic models under separable convex losses, proposed by…