2 papers
stat.CO2025
Dual Riemannian Newton Method on Statistical Manifolds
Derun Zhou, Keisuke Yano, Mahito Sugiyama
In probabilistic modeling, parameter estimation is commonly formulated as a minimization problem on a parameter manifold. Optimization in such spaces requires geometry-aware method…
cs.LG2025
Linear Mode Connectivity in Differentiable Tree Ensembles
Ryuichi Kanoh, Mahito Sugiyama
Linear Mode Connectivity (LMC) refers to the phenomenon that performance remains consistent for linearly interpolated models in the parameter space. For independently optimized mod…