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Ran Ding

A Brief Survey of Generative Models
Machine Learning

A Brief Survey of Generative Models

A high-level summary of various generative models including Variational Autoencoders (VAE), Generative Adverserial Networks (GAN), and their notable extentions and generalizations, such as f-GAN, Adversarial Variational Bayes (AVB), Wasserstein GAN, Wasserstein Auto-Encoder (WAE), Cramer GAN and etc
Dec 20, 2017 9 min read
Expectation-Maximization Algorithm in 10 minutes
Machine Learning

Expectation-Maximization Algorithm in 10 minutes

A quick walk-through of Expectation-Maximization (EM) algorithm and its cousins.
Dec 15, 2017 11 min read
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