Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction

Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation

(2016) Ikko Yamane et al.   NEURAL COMPUTATION

Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization

(2015) Voot Tangkaratt et al.   NEURAL COMPUTATION

Unsupervised Dimension Reduction via Least-Squares Quadratic Mutual Information

(2014) Janya SAINUI et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

Direct Approximation of Quadratic Mutual Information and Its Application to Dependence-Maximization Clustering

(2013) Janya SAINUI et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

Gradient-Based Kernel Dimension Reduction for Regression

(2013) Kenji Fukumizu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Density-Difference Estimation

(2013) Masashi Sugiyama et al.   NEURAL COMPUTATION

Sufficient Dimension Reduction via Squared-Loss Mutual Information Estimation

(2012) Taiji Suzuki et al.   NEURAL COMPUTATION

Kernel dimension reduction in regression

(2009) Kenji Fukumizu et al.   ANNALS OF STATISTICS

Mutual information estimation reveals global associations between stimuli and biological processes

(2009) Taiji Suzuki et al.   BMC BIOINFORMATICS

Derivative reproducing properties for kernel methods in learning theory

(2007) Ding-Xuan Zhou   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS