Kohei Hayashi
6 SlideShares 77 Followers 63 Folgens
Personal Information
Unternehmen/Arbeitsplatz
Berlin, Germany Japan
Beruf
Post-doc researcher
Branche
Education
Webseite
http://sites.google.com/site/koheihayashi84/
Info
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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bayesian inference statistics model selection machine learning
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Präsentationen

(6)
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Generalization of Tensor Factorization and Applications

Vor 11 Jahren • 11224 Aufrufe

Factorized Asymptotic Bayesian Inference for Latent Feature Models

Vor 9 Jahren • 827 Aufrufe

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood

Vor 8 Jahren • 1247 Aufrufe

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

Vor 8 Jahren • 3221 Aufrufe

ICML2016読み会　概要紹介

Vor 7 Jahren • 4207 Aufrufe

Expected tensor decomposition with stochastic gradient descent

Vor 7 Jahren • 1375 Aufrufe
Personal Information
Unternehmen/Arbeitsplatz
Berlin, Germany Japan
Beruf
Post-doc researcher
Branche
Education
Webseite
http://sites.google.com/site/koheihayashi84/
Info
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.
Tags
bayesian inference statistics model selection machine learning
Mehr anzeigen