3 papers
math.OC2026
Trajectory-Restricted Optimization Conditions and Geometry-Aware Linear Convergence
Faris Chaudhry, Anthea Monod, Keisuke Yano
Linear convergence of first-order methods is typically characterized by global optimization conditions whose constants reflect worst-case geometry of the ambient space. In high-dim…
stat.ME2026
Empirical Bayes Predictive Density Estimation under Covariate Shift in Large Imbalanced Linear Mixed Models
Abir Sarkar, Gourab Mukherjee, Keisuke Yano
We study empirical Bayes (EB) predictive density estimation in linear mixed models (LMMs) with large number of units, which induce a high dimensional random effects space. Focusing…
math.ST2026
The geometry of Stein's method of moments: A canonical decomposition via score matching
Mitsuki Nagai, Keisuke Yano
In this paper, we elucidate the geometry of Stein's method of moments (SMoM). SMoM is a parameter estimation method based on the Stein operator, and yields a wide class of estimato…