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06/14/2022
Minimum information dependence modeling
We propose a method of dependence modeling for a broad class of multivar...
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06/13/2022
Posterior covariance information criterion for arbitrary loss functions
We propose a novel computationally low-cost method for estimating the pr...
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12/07/2021
A generalization gap estimation for overparameterized models via the Langevin functional variance
This paper discusses the estimation of the generalization gap, the diffe...
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06/25/2021
Posterior Covariance Information Criterion
We introduce an information criterion, PCIC, for predictive evaluation b...
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04/19/2021
Structured regularization based local earthquake tomography for the adaptation to velocity discontinuities
Here we propose a local earthquake tomography method that applies a stru...
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12/24/2020
Dependence of variance on covariate design in nonparametric link regression
This note discusses a nonparametric approach to link regression aiming a...
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02/28/2019
Learning partially ranked data based on graph regularization
Ranked data appear in many different applications, including voting and ...
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12/14/2018
Asymptotically Minimax Predictive Density for Sparse Count Data
Predictive density estimation under the Kullback--Leibler loss in high-d...
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03/09/2018