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05/25/2023
Dropout Drops Double Descent
In this paper, we find and analyze that we can easily drop the double de...
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11/30/2022
Newton Method with Variable Selection by the Proximal Gradient Method
In sparse estimation, in which the sum of the loss function and the regu...
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08/10/2021
Causal Order Identification to Address Confounding: Binary Variables
This paper considers an extension of the linear non-Gaussian acyclic mod...
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07/16/2021
Efficient proximal gradient algorithms for joint graphical lasso
We consider learning an undirected graphical model from sparse data. Whi...
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04/22/2021
Converting ADMM to a Proximal Gradient for Convex Optimization Problems
In machine learning and data science, we often consider efficiency for s...
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08/01/2018
Forest Learning from Data and its Universal Coding
This paper considers structure learning from data with n samples of p va...
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08/01/2018
Forest Learning Universal Coding
This paper considers structure learning from data with n samples of p va...
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01/22/2014
Causal Discovery in a Binary Exclusive-or Skew Acyclic Model: BExSAM
Discovering causal relations among observed variables in a given data se...
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01/22/2014
Identifiability of an Integer Modular Acyclic Additive Noise Model and its Causal Structure Discovery
The notion of causality is used in many situations dealing with uncertai...
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03/06/2013
A Construction of Bayesian Networks from Databases Based on an MDL Principle
This paper addresses learning stochastic rules especially on an inter-at...
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02/14/2012
Discovering causal structures in binary exclusive-or skew acyclic models
Discovering causal relations among observed variables in a given data se...
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02/24/2010
Nonparametric Estimation and On-Line Prediction for General Stationary Ergodic Sources
We proposed a learning algorithm for nonparametric estimation and on-lin...
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02/10/2010