Search Results for author: Takeru Matsuda

Found 7 papers, 0 papers with code

Inadmissibility of the corrected Akaike information criterion

no code implementations17 Nov 2022 Takeru Matsuda

For the multivariate linear regression model with unknown covariance, the corrected Akaike information criterion is the minimum variance unbiased estimator of the expected Kullback--Leibler discrepancy.


Information criteria for non-normalized models

no code implementations15 May 2019 Takeru Matsuda, Masatoshi Uehara, Aapo Hyvarinen

However, model selection methods for general non-normalized models have not been proposed so far.

Model Selection

Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance

no code implementations24 Aug 2018 Masatoshi Uehara, Takeru Matsuda, Fumiyasu Komaki

First, we propose a method for reducing asymptotic variance by estimating the parameters of the auxiliary distribution.

Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation

no code implementations19 May 2018 Takeru Matsuda, Aapo Hyvarinen

Then, based on the observation that conventional classification learning with neural networks is implicitly assuming an exponential family as a generative model, we introduce a method for clustering unlabeled data by estimating a finite mixture of distributions in an exponential family.

Image Clustering

Empirical Bayes Matrix Completion

no code implementations5 Jun 2017 Takeru Matsuda, Fumiyasu Komaki

We develop an empirical Bayes (EB) algorithm for the matrix completion problems.

Matrix Completion

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