14 citations · 46 across the 25 of their papers we have counts for
4 papers · 1 filter
Fast Rank-1 NMF for Missing Data with KL Divergence
Kazu Ghalamkari, Mahito Sugiyama
We propose a fast non-gradient-based method of rank-1 non-negative matrix factorization (NMF) for missing data, called A1GM, that minimizes the KL divergence from an input matrix t…
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
Ryuichi Kanoh, Mahito Sugiyama
In practical situations, the tree ensemble is one of the most popular models along with neural networks. A soft tree is a variant of a decision tree. Instead of using a greedy meth…
Unintended Effects on Adaptive Learning Rate for Training Neural Network with Output Scale Change
Ryuichi Kanoh, Mahito Sugiyama
A multiplicative constant scaling factor is often applied to the model output to adjust the dynamics of neural network parameters. This has been used as one of the key intervention…
Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation
Kazu Ghalamkari, Mahito Sugiyama
We present an efficient low-rank approximation algorithm for non-negative tensors. The algorithm is derived from our two findings: First, we show that rank-1 approximation for tens…