Connectionists: BCIRWIS 2021: Bayesian causal inference for real world interactive systems - (KDD 2021 Workshop)

[david rohde]

Call For Papers (reminder)
BCIRWIS 2021: Bayesian causal inference for real world interactive systems
- (KDD 2021 Workshop)
https://bcirwis2021.github.io/cfp.html
Deadline extended to May 20 2021

Increasingly we use machine learning to build interactive systems that
learn from past actions and the reward obtained. Theory suggests several
possible approaches, such as contextual bandits, reinforcement learning,
the do-calculus, or plain old Bayesian decision theory. What are the most
theoretically appropriate and practical approaches to doing causal
inference for interactive systems?

We are particularly interested in case studies of applying machine learning
methods to interactive systems that did or did not use Bayesian or
likelihood based methods, with a discussion about why this choice was made
in terms of practical or theoretical arguments. We also welcome submissions
in the following areas:

Offline evaluation of recommender and interactive systems.
Comparison of Bayesian, off-policy and other heuristic approaches for
offline metrics.
Probabilistic approaches applied to contextual bandits and reinforcement
learning approaches.
Probabilistic approaches to incrementality and attribution.
Non-Bayesian approaches and trade-offs with Bayesian/Likelihood approaches.
Bayesian methods in a production environment.
Papers should be a three (3) page extended abstract, excluding references
and appendices, and will be selected for contributed talks or for posters.
Papers should be in PDF format and use the anonymized ACM Proceedings
Template. Please submit your papers to the CMT web site.

If the research has previously appeared in a journal, workshop, or
conference (including KDD 2021), the workshop submission should extend that
previous work. Parallel submissions (such as to other conferences) are
permitted.

Paper Submission Deadline: May 20th, 2021, 11:59 PM Anywhere on Earth

Paper Notification: June 10th, 2021
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