4 citations · 11 across the 13 of their papers we have counts for
14 papers
Covariate-dependent Nonparametric -modeling for regression via infinite Mixture-of-Expertizing class
Akira Okazaki, Keisuke Yano
Empirical Bayes -modeling captures unit-level heterogeneity by estimating a latent prior distribution from observed data. In the existing formulations, however, the prior is sha…
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…
Minimum information dependence modeling
Tomonari Sei, Keisuke Yano
We propose a method to construct a joint statistical model for mixed-domain data to analyze their dependence. Multivariate Gaussian and log-linear models are particular examples of…
A generalization gap estimation for overparameterized models via the Langevin functional variance
Akifumi Okuno, Keisuke Yano
This paper discusses the estimation of the generalization gap, the difference between generalization performance and training performance, for overparameterized models including ne…
Posterior Covariance Information Criterion for Weighted Inference
Yukito Iba, Keisuke Yano
For predictive evaluation based on quasi-posterior distributions, we develop a new information criterion, the posterior covariance information criterion (PCIC. PCIC generalises the…
Structured regularization based velocity structure estimation in local earthquake tomography for the adaptation to velocity discontinuities
Yohta Yamanaka, Sumito Kurata, Keisuke Yano +3
We propose a local earthquake tomography method that applies a structured regularization technique to determine sharp changes in Earth's seismic velocity structure using arrival ti…