/Bayesian-streaming-sparse-tucker

code of Bayesian streaming sparse tucker decomposition for UAI 2021

Primary LanguageMATLABApache License 2.0Apache-2.0

Bayesian-streaming-sparse-tucker-decomposition

by Shikai Fang, Mike Kirby and Shandian Zhe

code of Bayesian streaming sparse tucker decomposition for UAI 2021

Links for Paper and Supplementary

model illustration

Requirements:

matlab >= 2016

Instructions:

  1. Clone this repository.
  2. See model details in bayes_sparse_tucker_streaming_seq.m . Run model with acc_script.m,alog_script.m

Datasets & Baselines

Large dataset:acc, small dataset:alog

Baselines: cp_als, cp_wopt, cp_num (you may have to modify the data-loding path to run baselines)

Check infos for more datasets and baselines in our paper

Citation

Please cite our work if you would like to use the code

@article{fangbayesian,
  title={Bayesian Streaming Sparse Tucker Decomposition},
  author={Fang, Shikai and Kirby, Robert M and Zhe, Shandian}
}