Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
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Updated
Dec 4, 2018 - Python
Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
Bayesian Structure Adaptation for Continual Learning. A non-parametric Bayesian approach on continual learning that learns the sparse deep substructure for each task by selecting weights to be used by the deep neural network.
This repository captures code developed during my PhD at the University of Bath and includes the implementation of the DP-GP-LVM model.
Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians
Repository for my research project on Inverse Contextual Bandits
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