Kohei Hayashi
6 SlideShares 77 Abonné 63 Suivis
Personal Information
Entreprise/Lieu de travail
Berlin, Germany Japan
Profession
Post-doc researcher
Secteur d’activité
Education
Site Web
http://sites.google.com/site/koheihayashi84/
À propos
Researcher working on large-scale machine learning and data mining. Had experiences with: - Bayesian probabilistic models for structured data such as networks and time series. - Large-scale sparse learning algorithms using parallel computation implemented by Python, C, BLAS, and OpenMP wih theoretical (mathematical) performance analysis.
Coordonnées
Mots-clés
bayesian inference statistics model selection machine learning
Tout plus

Présentations

(6)
Tout voir

Generalization of Tensor Factorization and Applications

il y a 11 ans • 11224 Vues

Factorized Asymptotic Bayesian Inference for Latent Feature Models

il y a 9 ans • 827 Vues

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood

il y a 8 ans • 1247 Vues

Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering

il y a 8 ans • 3221 Vues

ICML2016読み会　概要紹介

il y a 7 ans • 4207 Vues

Expected tensor decomposition with stochastic gradient descent

il y a 7 ans • 1375 Vues
Personal Information
Entreprise/Lieu de travail
Berlin, Germany Japan
Profession
Post-doc researcher
Secteur d’activité
Education
Site Web
http://sites.google.com/site/koheihayashi84/
À propos
Researcher working on large-scale machine learning and data mining. Had experiences with: - Bayesian probabilistic models for structured data such as networks and time series. - Large-scale sparse learning algorithms using parallel computation implemented by Python, C, BLAS, and OpenMP wih theoretical (mathematical) performance analysis.
Mots-clés
bayesian inference statistics model selection machine learning
Tout plus