196 citations · 2.3k across the 104 of their papers we have counts for
Showing 2015 · stat.MLShow all
3 papers · 2 filters
stat.ML2015★ 7 cited
Stochastic gradient method with accelerated stochastic dynamics
Masayuki Ohzeki
In this paper, we propose a novel technique to implement stochastic gradient methods, which are beneficial for learning from large datasets, through accelerated stochastic dynamics…
stat.ML2015★ 8 cited
L_1-regularized Boltzmann machine learning using majorizer minimization
Masayuki Ohzeki
We propose an inference method to estimate sparse interactions and biases according to Boltzmann machine learning. The basis of this method is regularization, which is often…
stat.ML2015★ 9 cited
Statistical-mechanical analysis of pre-training and fine tuning in deep learning
Masayuki Ohzeki
In this paper, we present a statistical-mechanical analysis of deep learning. We elucidate some of the essential components of deep learning---pre-training by unsupervised learning…