
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...
read it

A Closed Form Solution to Best Rank1 Tensor Approximation via KL divergence Minimization
Tensor decomposition is a fundamentally challenging problem. Even the si...
read it

Additive Poisson Process: Learning Intensity of HigherOrder Interaction in Stochastic Processes
We present the Additive Poisson Process (APP), a novel framework that ca...
read it

Rank Reduction, Matrix Balancing, and MeanField Approximation on Statistical Manifold
We present a unified view of three different problems; rank reduction of...
read it

A Geometric Look at Double Descent Risk: Volumes, Singularities, and Distinguishabilities
The appearance of the doubledescent risk phenomenon has received growin...
read it

Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation
We present a novel blind source separation (BSS) method, called informat...
read it

BiasVariance TradeOff in Hierarchical Probabilistic Models Using HigherOrder Feature Interactions
Hierarchical probabilistic models are able to use a large number of para...
read it

Learning Graph Representation via Formal Concept Analysis
We present a novel method that can learn a graph representation from mul...
read it

Transductive Boltzmann Machines
We present transductive Boltzmann machines (TBMs), which firstly achieve...
read it

Legendre Tensor Decomposition
We present a novel nonnegative tensor decomposition method, called Legen...
read it

Finding Significant Combinations of Continuous Features
We present an efficient feature selection method that can find all multi...
read it

Tensor Balancing on Statistical Manifold
We solve tensor balancing, rescaling an Nth order nonnegative tensor by ...
read it

Selective Inference Approach for Statistically Sound Predictive Pattern Mining
Discovering statistically significant patterns from databases is an impo...
read it

Fast and MemoryEfficient Significant Pattern Mining via Permutation Testing
We present a novel algorithm, WestfallYoung light, for detecting patter...
read it

Identifying Higherorder Combinations of Binary Features
Finding statistically significant interactions between binary variables ...
read it

Significant Subgraph Mining with Multiple Testing Correction
The problem of finding itemsets that are statistically significantly enr...
read it

Efficient networkguided multilocus association mapping with graph cuts
As an increasing number of genomewide association studies reveal the li...
read it
Mahito Sugiyama
is this you? claim profile