Kohei Hayashi
6 SlideShares 77 Seguidores 63 Seguindos
Personal Information
Organização/Local de trabalho
Berlin, Germany Japan
Cargo
Post-doc researcher
Setor
Education
Site
http://sites.google.com/site/koheihayashi84/
Sobre
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.
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Marcadores
bayesian inference statistics model selection machine learning
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Apresentações

(6)
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Generalization of Tensor Factorization and Applications

Há 11 anos • 11225 Visualizações

Factorized Asymptotic Bayesian Inference for Latent Feature Models

Há 9 anos • 827 Visualizações

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood

Há 8 anos • 1247 Visualizações

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

Há 8 anos • 3221 Visualizações

ICML2016読み会　概要紹介

Há 7 anos • 4207 Visualizações

Expected tensor decomposition with stochastic gradient descent

Há 7 anos • 1375 Visualizações
Personal Information
Organização/Local de trabalho
Berlin, Germany Japan
Cargo
Post-doc researcher
Setor
Education
Site
http://sites.google.com/site/koheihayashi84/
Sobre
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.
Marcadores
bayesian inference statistics model selection machine learning
Ver mais