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Picture for Yoshiyuki Kabashima

On Model Selection Consistency of Lasso for High-Dimensional Ising Models on Tree-like Graphs


Oct 16, 2021
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima

* 30 pages, 4 figures 

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Matrix completion based on Gaussian belief propagation


May 01, 2021
Koki Okajima, Yoshiyuki Kabashima

* 17 pages, 7 figures 

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Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression


Feb 08, 2021
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima

* 28 pages, 8 figures 

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Perfect Reconstruction of Sparse Signals via Greedy Monte-Carlo Search


Aug 24, 2020
Kao Hayashi, Tomoyuki Obuchi, Yoshiyuki Kabashima

* 13 pages, 2 figures 

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Structure Learning in Inverse Ising Problems Using $\ell_2$-Regularized Linear Estimator


Aug 19, 2020
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima

* 39 pages, 8 figures 

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Semi-analytic approximate stability selection for correlated data in generalized linear models


Mar 19, 2020
Takashi Takahashi, Yoshiyuki Kabashima

* 32 pages, 7 figures 

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Learning performance in inverse Ising problems with sparse teacher couplings


Dec 25, 2019
Alia Abbara, Yoshiyuki Kabashima, Tomoyuki Obuchi, Yingying Xu

* 27 pages, 7 figures 

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Approximate matrix completion based on cavity method


Jun 29, 2019
Chihiro Noguchi, Yoshiyuki Kabashima

* 20 pages, 11 figures 

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Replicated Vector Approximate Message Passing For Resampling Problem


May 23, 2019
Takashi Takahashi, Yoshiyuki Kabashima

* 10 pages, 3 figures 

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High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study


Jan 14, 2019
Johan Pensar, Yingying Xu, Santeri Puranen, Maiju Pesonen, Yoshiyuki Kabashima, Jukka Corander


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Accelerating Cross-Validation in Multinomial Logistic Regression with $\ell_1$-Regularization


Sep 18, 2018
Tomoyuki Obuchi, Yoshiyuki Kabashima

* 30 pages, 9 figures. MATLAB and python codes implementing the formula derived in the manuscript are distributed in https://github.com/T-Obuchi/AcceleratedCVonMLR_matlab and https://github.com/T-Obuchi/AcceleratedCVonMLR_python 

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Statistical mechanical analysis of sparse linear regression as a variable selection problem


Sep 10, 2018
Tomoyuki Obuchi, Yoshinori Nakanishi-Ohno, Masato Okada, Yoshiyuki Kabashima

* 39 pages, 14 figures 

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Semi-Analytic Resampling in Lasso


Feb 28, 2018
Tomoyuki Obuchi, Yoshiyuki Kabashima

* 22 pages, 6 figures 

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Approximate cross-validation formula for Bayesian linear regression


Oct 25, 2016
Yoshiyuki Kabashima, Tomoyuki Obuchi, Makoto Uemura

* 5 pages, 2 figures, invited paper for Allerton2016 conference 

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Phase transitions and sample complexity in Bayes-optimal matrix factorization


Mar 21, 2016
Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová

* IEEE Transactions on Information Theory (Volume:62 , Issue: 7, Pages: 4228 - 4265) 2016 
* 50 pages, 10 figures 

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Origin of the computational hardness for learning with binary synapses


Aug 08, 2014
Haiping Huang, Yoshiyuki Kabashima

* Phys. Rev. E 90, 052813 (2014) 
* 9 pages, 1 figure 

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Sample Complexity of Bayesian Optimal Dictionary Learning


Feb 05, 2014
Ayaka Sakata, Yoshiyuki Kabashima

* 5pages, 5figures 

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Entropy landscape of solutions in the binary perceptron problem


Aug 09, 2013
Haiping Huang, K. Y. Michael Wong, Yoshiyuki Kabashima

* J. Phys. A: Math. Theor. 46 (2013) 375002 
* 21 pages, 6 figures, version accepted by Journal of Physics A: Mathematical and Theoretical 

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Statistical Mechanics of Dictionary Learning


Jan 25, 2013
Ayaka Sakata, Yoshiyuki Kabashima

* 6 pages, 4 figures 

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