NeurIPS2019 CausalML: Thirty-third Conference on Neural Information Processing Systems - Workshop on Causal Machine Learning Vancouver Convention Center Vancouver, Canada, December 13-14, 2019 |
Conference website | http://tripods.cis.cornell.edu/neurips19_causalml/ |
Submission deadline | September 9, 2019 |
Acceptance Decision | October 1, 2019 |
Submission Guidelines
We solicit submissions of novel research related to all aspects of causal inference, counterfactual prediction, and autonomous action. This includes, but is not limited to, the following topics:
- Predicting counterfactual outcomes
- Reinforcement Learning and Causal Inference
- Causal transfer learning
- Mediation analysis
- Estimation of (conditional) average treatment effects
- Contextual bandit algorithms and on-policy learning
- Batch/offline learning from bandit feedback
- Off-policy evaluation and learning
- Interactive experimental control vs. counterfactual estimation from logged experiments
- Online A/B-testing vs. offline A/B-testing
- De-biasing observational data and feedback cycles
- Fairness of actions and causal aspects of fairness
- Applications in online systems (e.g. search, recommendation, ad placement)
- Applications in physical systems (e.g. cars, smart homes)
- Applications in medicine (e.g. personalized treatment, clinical trials)
We suggest extended abstracts of 2 pages in the NeurIPS format, but no specific format is enforced. The review process is double-blind. A maximum of 8 pages will be considered. References will not count towards the page limit. PDF files only. At the discretion of the organizers, accepted contributions will be assigned slots as contributed talks and others will be presented as posters.
Organizing committee
Contact
All questions about submissions should be emailed to santacatterina@cornell.edu