154 citations · 717 across the 63 of their papers we have counts for
7 papers · 1 filter
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors
Zeke Xie, Issei Sato
We propose a Quantum-Inspired Subspace(QIS) Ensemble Method for generating feature ensembles based on feature selections. We assign each principal component a Fraction Transition P…
Variational Inference based on Robust Divergences
Futoshi Futami, Issei Sato, Masashi Sugiyama
Robustness to outliers is a central issue in real-world machine learning applications. While replacing a model to a heavy-tailed one (e.g., from Gaussian to Student-t) is a standar…
On the Model Shrinkage Effect of Gamma Process Edge Partition Models
Iku Ohama, Issei Sato, Takuya Kida +1
The edge partition model (EPM) is a fundamental Bayesian nonparametric model for extracting an overlapping structure from binary matrix. The EPM adopts a gamma process (P) prior…
Expectation Propagation for t-Exponential Family Using Q-Algebra
Futoshi Futami, Issei Sato, Masashi Sugiyama
Exponential family distributions are highly useful in machine learning since their calculation can be performed efficiently through natural parameters. The exponential family has r…
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling
Hongyi Ding, Mohammad Emtiyaz Khan, Issei Sato +1
Analyzing the underlying structure of multiple time-sequences provides insights into the understanding of social networks and human activities. In this work, we present the \emph{B…
Stochastic Divergence Minimization for Biterm Topic Model
Zhenghang Cui, Issei Sato, Masashi Sugiyama
As the emergence and the thriving development of social networks, a huge number of short texts are accumulated and need to be processed. Inferring latent topics of collected short…