Call for papers
DEADLINE: October 31, 2017
Other important deadline: Student travel support through main conference (October 3, 2017)
You can submit your paper via CMT (this is our preferred method).
The 2017 'What If?' To 'What Next?' workshop welcomes contributions from a variety of perspectives from machine learning, statistics, economics and social sciences, among others. This includes, but it is not limited to, the following topics:
- Combining experimental control and observational data
- Interactive experimental control vs. counterfactual estimation from logged experiments
- Bandit algorithms and reinforcement learning with explicit links to causal inference and counterfactual reasoning
- Discriminative learning vs. generative modeling in counterfactual settings
- Interfaces of agent-based systems and causal inference
- Handling selection bias
- Large-scale algorithms
- Applications in online systems (e.g. search, recommendation, ad placement)
- Applications in complex systems (e.g. cell biology, smart cities, computational social sciences)
At the discretion of the organizers, some contributions will be assigned slots as short contributed talks and others will be presented as posters.
Format
We suggest extended abstracts of 2 pages in the NIPS format, but no specific format is enforced. A maximum of 8 pages will be considered. PDF files only.
Submission instructions and deadline
31st of October, 23:59 GMT time. Please submit your PDF via CMT. For further questions, please contact Alexander Volfovsky or Adith Swaminathan.
Notification
We expect to notify acceptance by the 9th of November, 2017.
Looking for inspiration?
Attempt to answer these questions at your own risk.