New site 👉 rd.me
I moved my blog to [rd.me](https://rd.me), see you there
Ran Ding's homepage
I moved my blog to [rd.me](https://rd.me), see you there
Exponential-min and Gumbel-max tricks for sampling from a multinomial distribution by taking the argmin and argmax.
A brief overview of various techniques in recent language model (LM) literatures including AWD LM, the use of cache, dynamic evaluation, other memory-based non-parametric components to enhance learned parametric LM, and finally, recent progress in high-rank LM.

A short list of resources and topics covering the essential quantitative tools for Data Scientists, Machine Learning Engineers/Scientists, Quant Developers/Researchers and those who are preparing to interview for these roles.
A literature survey of recent papers on Neural Variational Inference (NVI) and its application in topic modeling.
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.
A quick walk-through of Expectation-Maximization (EM) algorithm.