Kohei Hayashi
6 SlideShares 77 Followers 63 Followings
Personal Information
Organization / Workplace
Berlin, Germany Japan
Occupation
Post-doc researcher
Industry
Education
Website
http://sites.google.com/site/koheihayashi84/
About
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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Presentations

(6)
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Generalization of Tensor Factorization and Applications

11 years ago • 11224 Views

Factorized Asymptotic Bayesian Inference for Latent Feature Models

9 years ago • 827 Views

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood

8 years ago • 1247 Views

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

8 years ago • 3221 Views

ICML2016読み会　概要紹介

7 years ago • 4207 Views

Expected tensor decomposition with stochastic gradient descent

7 years ago • 1375 Views
Personal Information
Organization / Workplace
Berlin, Germany Japan
Occupation
Post-doc researcher
Industry
Education
Website
http://sites.google.com/site/koheihayashi84/
About
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
See more