This repo includes code and data for our paper Probabilistic Modeling for Sequences of Sets in Continuous-Time (Oral, AISTATS 2024). All datasets are publicly available, and we share our preprocessed versions.
The codebase is adapted from our previous code for Probabilistic Querying of Continuous-Time Event Sequences (AISTATS 2023).
If you find this repo helpful in your research, please acknowledge our paper as follows:
@inproceedings{chang2024probabilistic,
author={Chang, Yuxin and Boyd, Alex and Smyth, Padhraic},
title={Probabilistic Modeling for Sequences of Sets in Continuous-Time},
booktitle={The 27th International Conference on AI and Statistics (AISTATS)},
year={2024},
}