1 citations · 1 across the 8 of their papers we have counts for
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Empirical Bayes 1-bit matrix completion
Takeru Matsuda
The problem of predicting unobserved entries in a binary matrix, known as 1-bit matrix completion, has found diverse applications in fields such as recommendation systems. In this…
Shape-constrained density estimation with Wasserstein projection
Takeru Matsuda, Ting-Kam Leonard Wong
Statistical inference based on optimal transport offers a different perspective from that of maximum likelihood, and has increasingly gained attention in recent years. In this pape…
Contrastive Bayesian Inference for Unnormalized Models
Naruki Sonobe, Shonosuke Sugasawa, Daichi Mochihashi +1
Unnormalized (or energy-based) models provide a flexible framework for capturing the characteristics of data with complex dependency structures. However, the application of standar…
Asymptotic testing of covariance separability for matrix elliptical data
Joni Virta, Takeru Matsuda
We propose a new asymptotic test for the separability of a covariance matrix. The null distribution is valid in wide matrix elliptical model that includes, in particular, both matr…