36 citations · 41 across the 5 of their papers we have counts for
5 papers
Unbiased Estimating Equation on Inverse Divergence and Its Conditions
Masahiro Kobayashi, Kazuho Watanabe
This paper focuses on the Bregman divergence defined by the reciprocal function, called the inverse divergence. For the loss function defined by the monotonically increasing functi…
Overfitting in quantum machine learning and entangling dropout
Masahiro Kobayashi, Kouhei Nakaji, Naoki Yamamoto
The ultimate goal in machine learning is to construct a model function that has a generalization capability for unseen dataset, based on given training dataset. If the model functi…
Unbiased Estimation Equation under -Separable Bregman Distortion Measures
Masahiro Kobayashi, Kazuho Watanabe
We discuss unbiased estimation equations in a class of objective function using a monotonically increasing function and Bregman divergence. The choice of the function gives…
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method
Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi
Clustering algorithms have wide applications and play an important role in data analysis fields including time series data analysis. However, in time series analysis, most of the a…
Generalized Dirichlet-process-means for -separable distortion measures
Masahiro Kobayashi, Kazuho Watanabe
DP-means clustering was obtained as an extension of -means clustering. While it is implemented with a simple and efficient algorithm, it can estimate the number of clusters simu…