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09/30/2022
Many-Body Approximation for Tensors
We propose a nonnegative tensor decomposition with focusing on the relat...
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05/25/2022
A Neural Tangent Kernel Formula for Ensembles of Soft Trees with Arbitrary Architectures
A soft tree is an actively studied variant of a decision tree that updat...
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10/25/2021
Fast Rank-1 NMF for Missing Data with KL Divergence
We propose a fast non-gradient based method of rank-1 non-negative matri...
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09/10/2021
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
In practical situations, the ensemble tree model is one of the most popu...
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03/05/2021
Unintended Effects on Adaptive Learning Rate for Training Neural Network with Output Scale Change
A multiplicative constant scaling factor is often applied to the model o...
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03/04/2021
A Closed Form Solution to Best Rank-1 Tensor Approximation via KL divergence Minimization
Tensor decomposition is a fundamentally challenging problem. Even the si...
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06/16/2020
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes
We present the Additive Poisson Process (APP), a novel framework that ca...
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06/09/2020
Rank Reduction, Matrix Balancing, and Mean-Field Approximation on Statistical Manifold
We present a unified view of three different problems; rank reduction of...
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06/08/2020
A Geometric Look at Double Descent Risk: Volumes, Singularities, and Distinguishabilities
The appearance of the double-descent risk phenomenon has received growin...
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09/25/2019
Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation
We present a novel blind source separation (BSS) method, called informat...
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06/28/2019
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions
Hierarchical probabilistic models are able to use a large number of para...
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12/08/2018
Learning Graph Representation via Formal Concept Analysis
We present a novel method that can learn a graph representation from mul...
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05/21/2018
Transductive Boltzmann Machines
We present transductive Boltzmann machines (TBMs), which firstly achieve...
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02/13/2018
Legendre Tensor Decomposition
We present a novel nonnegative tensor decomposition method, called Legen...
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02/28/2017
Finding Significant Combinations of Continuous Features
We present an efficient feature selection method that can find all multi...
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02/27/2017
Tensor Balancing on Statistical Manifold
We solve tensor balancing, rescaling an Nth order nonnegative tensor by ...
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02/15/2016
Selective Inference Approach for Statistically Sound Predictive Pattern Mining
Discovering statistically significant patterns from databases is an impo...
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02/15/2015
Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing
We present a novel algorithm, Westfall-Young light, for detecting patter...
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07/04/2014
Identifying Higher-order Combinations of Binary Features
Finding statistically significant interactions between binary variables ...
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07/01/2014
Significant Subgraph Mining with Multiple Testing Correction
The problem of finding itemsets that are statistically significantly enr...
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11/10/2012
