Dahua Lin
7 SlideShares 29 Seguidores 22 Seguindos
Personal Information
Organização/Local de trabalho
Hong Kong Hong Kong
Cargo
Assistant Professor at The Chinese University of Hong Kong
Setor
Education
Site
http://dahua.me
Sobre
As an Assistant Professor at the Chinese University of Hong Kong (CUHK), I am leading a research team that specializes in machine learning, computer vision, and big data analytics. Particularly, my research interest revolves around deep learning methodologies, probabilistic modeling and inference, high-level visual understanding, and generative image modeling.
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Marcadores
graphical model mcmc machine learning mean field expectation maximization variational estimation probabilistic model conjugate prior exponential family hamiltonian monte carlo gibbs sampling sampling monte carlo mathematics functional analysis measure theory probabilistic inference course
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Apresentações

(6)
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MLPI Lecture 0: Overview

Há 9 anos • 1089 Visualizações

MLPI Lecture 1: Maths for Machine Learning

Há 9 anos • 2019 Visualizações

MLPI Lecture 2: Monte Carlo Methods (Basics)

Há 9 anos • 2167 Visualizações

MLPI Lecture 3: Advanced Sampling Techniques

Há 9 anos • 1316 Visualizações

MLPI Lecture 4: Graphical Model and Exponential Family

Há 9 anos • 1038 Visualizações

Lecture 5: Variational Estimation and Inference

Há 9 anos • 953 Visualizações

Documentos

(1)

Appendix to MLPI Lecture 2 - Monte Carlo Methods (Basics)

Há 9 anos • 588 Visualizações
Personal Information
Organização/Local de trabalho
Hong Kong Hong Kong
Cargo
Assistant Professor at The Chinese University of Hong Kong
Setor
Education
Site
http://dahua.me
Sobre
As an Assistant Professor at the Chinese University of Hong Kong (CUHK), I am leading a research team that specializes in machine learning, computer vision, and big data analytics. Particularly, my research interest revolves around deep learning methodologies, probabilistic modeling and inference, high-level visual understanding, and generative image modeling.
Marcadores
graphical model mcmc machine learning mean field expectation maximization variational estimation probabilistic model conjugate prior exponential family hamiltonian monte carlo gibbs sampling sampling monte carlo mathematics functional analysis measure theory probabilistic inference course
Ver mais