Call for Papers
Example Topics
- Addressing the challenge of practical causal inference in the context of real applications;
- Developing measures and methods for evaluating the quality of causal predictions;
- Feasible prediction of post-interventional distributions by reconstructing latent confounders;
- Considering the relative robustness of assumptions and algorithms to model misspecification;
- Methods for causal inference from high-dimensional data;
- Methods for combining different datasets;
- Experimental design for causal inference;
- Real-world validation of causal inference methods;
- Discussions on the possibility of making causal predictions in a highly confounded and cyclic world;
- Occam’s Razor in causal inference (methodological justifications for oversimplified models);
- Foundational questions relating to causation and the assumptions that underlie causal inference.
Submission
There are two possible submission formats. The authors can either submit:
- a full-length paper, limited to 9 pages (including figures and text, excluding references), or
- a one-page summary (excluding references) describing an open problem (see below).
Full Papers
If a contribution consists of material that has been published elsewhere earlier, the authors must indicate this in their submission and cite the original work. We will give preference to original work.
Our submission deadline comes a few days after the UAI author notification deadline. We encourage co-submission of (full) papers that have been submitted to the main UAI 2016 conference. Please indicate if your paper was also submitted to UAI. If accepted for UAI, the paper will be published in the UAI proceedings, but we may also invite the authors to give a (oral or poster) presentation at the workshop.
Style files for full papers can be found on the UAI website. As with the main conference, please prepare your paper for double-blind review, i.e. without author information in the paper itself.
Open Problems
This year we will try to include a session on Open Problems in Causality. We encourage submissions of succinct descriptions (one page) of the problem and will invite authors to give a short presentation at the workshop, followed by discussion. The Open Problems proposals will only be reviewed by the workshop committee in order to avoid presentations on problems that are ill-posed or obviously resolved. We very much hope that there will be interest in such a session, not just as an audience member, but also as a contributor.
Open problem proposals and full papers must be submitted via e-mail by the deadline (June 1 and May 11, respectively) to uai2016.causalityworkshop@gmail.com.
Contributions will be peer reviewed by at least two reviewers. Accepted papers will be presented either as oral presentation or in a poster session.
Proceedings
After the workshop we will publish proceedings via this web-page and on CEUR-WS, assuming we can satisfy their length criteria.
Authors of accepted papers can choose to contribute the submitted manuscript. They can also choose not to contribute to the proceedings.
Oral presentation slides will also be disseminated via this web-page.