research
∙
01/06/2021
A unified view for unsupervised representation learning with density ratio estimation: Maximization of mutual information, nonlinear ICA and nonlinear subspace estimation
Unsupervised representation learning is one of the most important proble...
share
research
∙
11/01/2019
Robust contrastive learning and nonlinear ICA in the presence of outliers
Nonlinear independent component analysis (ICA) is a general framework fo...
research
∙
10/18/2019
Robust modal regression with direct log-density derivative estimation
Modal regression is aimed at estimating the global mode (i.e., global ma...
research
∙
06/05/2018
Neural-Kernelized Conditional Density Estimation
Conditional density estimation is a general framework for solving variou...
research
∙
05/22/2018
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
Nonlinear ICA is a fundamental problem for unsupervised representation l...
research
∙
07/06/2017
Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios
Modes and ridges of the probability density function behind observed dat...
research
∙
03/03/2016
Whitening-Free Least-Squares Non-Gaussian Component Analysis
Non-Gaussian component analysis (NGCA) is an unsupervised linear dimensi...
research
∙
01/28/2016
Non-Gaussian Component Analysis with Log-Density Gradient Estimation
Non-Gaussian component analysis (NGCA) is aimed at identifying a linear ...
research
∙
08/05/2015
Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction
A typical goal of supervised dimension reduction is to find a low-dimens...
research
∙
08/01/2015
Regularized Multi-Task Learning for Multi-Dimensional Log-Density Gradient Estimation
Log-density gradient estimation is a fundamental statistical problem and...
research
∙
06/18/2015
Simultaneous Estimation of Non-Gaussian Components and their Correlation Structure
The statistical dependencies which independent component analysis (ICA) ...
research
∙
06/30/2014
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation
Estimation of density derivatives is a versatile tool in statistical dat...
research
∙
04/20/2014