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10/16/2021
On Model Selection Consistency of Lasso for High-Dimensional Ising Models on Tree-like Graphs
We consider the problem of high-dimensional Ising model selection using ...
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02/08/2021
Ising Model Selection Using ℓ_1-Regularized Linear Regression
We theoretically investigate the performance of ℓ_1-regularized linear r...
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08/19/2020
Structure Learning in Inverse Ising Problems Using ℓ_2-Regularized Linear Estimator
Inferring interaction parameters from observed data is a ubiquitous requ...
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08/07/2020
Perfect Reconstruction of Sparse Signals via Greedy Monte-Carlo Search
We propose a Monte-Carlo-based method for reconstructing sparse signals ...
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12/25/2019
Learning performance in inverse Ising problems with sparse teacher couplings
We investigate the learning performance of the pseudolikelihood maximiza...
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06/14/2019
Empirical Bayes Method for Boltzmann Machines
In this study, we consider an empirical Bayes method for Boltzmann machi...
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02/27/2019
Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration
We investigate the signal reconstruction performance of sparse linear re...
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02/20/2019
Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control
We consider compressed sensing formulated as a minimization problem of n...
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10/29/2018
Mean-field theory of graph neural networks in graph partitioning
A theoretical performance analysis of the graph neural network (GNN) is ...
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05/29/2018
Statistical mechanical analysis of sparse linear regression as a variable selection problem
An algorithmic limit of compressed sensing or related variable-selection...
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02/28/2018
Semi-Analytic Resampling in Lasso
An approximate method for conducting resampling in Lasso, the ℓ_1 penali...
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11/15/2017
Accelerating Cross-Validation in Multinomial Logistic Regression with ℓ_1-Regularization
We develop an approximate formula for evaluating a cross-validation esti...
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10/25/2016
Approximate cross-validation formula for Bayesian linear regression
Cross-validation (CV) is a technique for evaluating the ability of stati...
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12/16/2014
