Important dates:
We take a broad perspective to learning with temporal point process and address a wide range of themes including, but not limited to predictive models, efficient inference methods, deep learning, control and reinforcement learning, generative models, causal learning, incomplete and missing data, and emerging applications.
Submissions in the form of extended abstracts must be at most 4 pages long (not including references and an unlimited number of pages for supplemental material, which reviewers are not required to take into account) and adhere to the NeurIPS format. We accept submissions of work recently published or currently under review. Submissions should be anonymized as described in the submission instructions and should be submitted through:
The workshop will not have formal proceedings, but authors of accepted abstracts can choose to have either a link to an arxiv version of their paper or a pdf published on the workshop webpage.
The organizers
Manuel Gomez Rodriguez, Abir De, Le Song, Yan Liu, Isabel Valera and Hongyuan Zha