42 citations · 106 across the 19 of their papers we have counts for
3 papers · 2 filters
A Quantum Extension of Variational Bayes Inference
Hideyuki Miyahara, Yuki Sughiyama
Variational Bayes (VB) inference is one of the most important algorithms in machine learning and widely used in engineering and industry. However, VB is known to suffer from the pr…
Deterministic Quantum Annealing Expectation-Maximization Algorithm
Hideyuki Miyahara, Koji Tsumura, Yuki Sughiyama
Maximum likelihood estimation (MLE) is one of the most important methods in machine learning, and the expectation-maximization (EM) algorithm is often used to obtain maximum likeli…
Relaxation of the EM Algorithm via Quantum Annealing for Gaussian Mixture Models
Hideyuki Miyahara, Koji Tsumura, Yuki Sughiyama
We propose a modified expectation-maximization algorithm by introducing the concept of quantum annealing, which we call the deterministic quantum annealing expectation-maximization…