Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
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Dec 4, 2018 - Python
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bayesian-nonparametrics
Here are 6 public repositories matching this topic...
Implementation of the BNPool layer and code to reproduce the experiments in "Bayesian Nonparametric GNNs for graph pooling and clustering".
bayesian-inference graph-classification bayesian-nonparametrics graph-neural-networks graph-pooling node-clustering
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Jun 23, 2025 - Python
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.
model-selection neural-networks ibp lifelong-learning continual-learning bayesian-nonparametrics structural-learning
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May 30, 2022 - Python
Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians
clustering gaussian-mixture-models bayesian-inference variational-inference dirichlet-process-mixtures exponential-family bayesian-nonparametrics statistical-signal-processing probabilistic-machine-learning
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Jan 11, 2024 - Python
This repository captures code developed during my PhD at the University of Bath and includes the implementation of the DP-GP-LVM model.
machine-learning unsupervised-learning gaussian-processes latent-variable-models dirichlet-process bayesian-nonparametrics dp-gp-lvm
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Oct 11, 2020 - Python
Repository for my research project on Inverse Contextual Bandits
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Dec 12, 2022 - Python
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