Call for Papers

Submission deadline: October 7th, 2021 (AOE) September 30th, 2021 (AoE)

Submit at: https://cmt3.research.microsoft.com/CSDNeurIPS2021

We invite contributions on any topic related to the subject of the workshop, including but not limited to the following topics:

• Dynamic treatment regimes

• Causal inference and discovery from longitudinal and panel data

• Unmeasured confounding in sequential decisions and sensitivity analyses

• Causality in dynamical systems

• Econometric/structural estimation in sequential settings

• Off-policy evaluation and logged bandits

• Offline reinforcement learning and imitation learning

• A/B-testing and design of experiments

• Algorithmic fairness in dynamic environments

• Causal graphs with multiple and/or sequential interventions

• Online allocation and online linear programs

• Data-driven inverse optimization in sequential settings

• Applications, including in healthcare, e-commerce, and policymaking

Formatting instructions: Submissions should use the NeurIPS 2021 template, and be 2-6 pages (plus as many pages as necessary for references and supplementary material). Submissions of extended abstracts of longer work is allowed and, after acceptance, these may may directly link to the longer version on a preprint server (e.g., on arXiv). Submissions should otherwise be anonymized during the review process. We remark that looking at supplementary material is at the discretion of the reviewers.

All submissions will be peer-reviewed. There are no official archival proceedings. Contributors can still publish accepted work in archival journals or conferences. The submissions will only be posted on the workshop website for presentation purposes. Authors will have the opportunity to link to a version on a preprint server. A subset of submissions will be invited for a spotlight talk, and the remaining will be invited to present at the poster session.