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Found 5 papers, 0 papers with code
Duality induced by an embedding structure of determinantal point process
This paper investigates the information geometrical structure of a determinantal point process (DPP).
A generalization gap estimation for overparameterized models via the Langevin functional variance
This paper discusses the estimation of the generalization gap, the difference between generalization performance and training performance, for overparameterized models including neural networks.
Posterior Covariance Information Criterion for Weighted Inference
For predictive evaluation based on quasi-posterior distributions, we develop a new information criterion, the posterior covariance information criterion (PCIC.
Dependence of variance on covariate design in nonparametric link regression
This paper discusses a design-dependent nature of variance in nonparametric link regression aiming at predicting a mean outcome at a link, i. e., a pair of nodes, based on currently observed data comprising covariates at nodes and outcomes at links.
Statistics Theory Statistics Theory
Learning partially ranked data based on graph regularization
Our estimation procedure leverages a graph regularization in conjunction with the Expectation-Maximization algorithm.
