Pytorch Cheetbook

Nov 28, 2021

Python Everyday

Learn Python brick by brick

Nov 25, 2021

Git Everyday

Learn Git brick by brick

Nov 24, 2021


Application Research of Temporal Point Process

Nov 12, 2021

Variational Autoencoding

Understand basics about Variational Autoencoders for Marked Point Process. VAE distinguish between global and local parameters, which are treated differently during training/inference. Global model captures common properties shared across all sequences regardless of their attributes. By contrast, local parameters describe attribute-specific distributions

Nov 12, 2021

Marked TPP

Understand Algorithms to Analyze Marked Point Process. How RNN is used to capture the non-linear dependencies over previous events and timings

Nov 07, 2021

Reinforced Poisson Process

Understand basics about RPP

Nov 04, 2021

Stochastic Process

To learn stochastic processes and their application in finance and modeling

Nov 04, 2021

Review of Temporal Point Process Research

Review recent published work on (marked) temporal point process

Nov 02, 2021

200~300 Problems

Oct 30, 2021