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20012025
most citedInference from correlated patterns: a unified theory for perceptron learning and linear vector channels

41 citations · 176 across the 29 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

physics.bio-ph2021

Assessing transfer entropy from biochemical data

Takuya Imaizumi, Nobuhisa Umeki, Ryo Yoshizawa +3

We address the problem of evaluating the transfer entropy (TE) produced by biochemical reactions from experimentally measured data. Although these reactions are generally non-linea…

cs.IT2021

Decision Theoretic Cutoff and ROC Analysis for Bayesian Optimal Group Testing

Ayaka Sakata, Yoshiyuki Kabashima

We study the inference problem in the group testing to identify defective items from the perspective of the decision theory. We introduce Bayesian inference and consider the Bayesi…

stat.ML2021

On Model Selection Consistency of Lasso for High-Dimensional Ising Models

Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima

We theoretically analyze the model selection consistency of least absolute shrinkage and selection operator (Lasso), both with and without post-thresholding, for high-dimensional I…

stat.ML2021

Matrix completion based on Gaussian parameterized belief propagation

Koki Okajima, Yoshiyuki Kabashima

We develop a message-passing algorithm for noisy matrix completion problems based on matrix factorization. The algorithm is derived by approximating message distributions of belief…

cs.LG2021

Ising Model Selection Using -Regularized Linear Regression: A Statistical Mechanics Analysis

Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima

We theoretically analyze the typical learning performance of -regularized linear regression (-LinR) for Ising model selection using the replica method from statis…