allconferencecfpalerts
   

Event       Publishers
  • Home
  • Login
  • Categories
  • Archive
  • Post Cfp
  • Academic Resources
  • Contact Us

 

CausalML 2018 : ICML / IJCAI / AAMAS Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action

google+
Views: 758                 

When :  2018-06-14

Where :  Stockholm

Submission Deadline :  2018-05-16

Categories :   Machine Learning ,  Mechanical Engineering ,  Manufacturing Technology   

https://sites.google.com/site/faim18wscausalml/

CausalML 2018 : ICML / IJCAI / AAMAS Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action

June 14~15, 2018, Stockholm

Scope & Topics

Many of the most impactful applications of machine learning are not just about prediction, but are about putting learning systems in control of selecting the right action at the right time. Examples of such systems range from search engines that act by displaying a ranking, to medical decision support systems, recommender systems, ad placement systems, conversational systems, automated trading platforms, computer games, and cyber-physical systems like self-driving cars. This focus on acting requires some causal understanding of the world, since actions are interventions that change the distribution of data unlike in standard prediction problems. This gives rise to challenging counterfactual and causal prediction problems. However, causality is only a means to an end - namely being able to take the right actions; one typically does not have the burden of providing strong proofs of causal discovery.

We solicit submission 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:

Topics of Interest :

  • Predicting counterfactual outcomes
  • 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)

Important Dates

Submission Deadline: May 16, 2018
Authors Notification:  
Final Manuscript Due:  

User Name : advika
Posted 22-03-2018 on 18:07:28 AEDT


Related CFPs

NeTCoM 2026   18th International Conference on Networks & Communications
IJMECH   International Journal of Recent Advances in Mechanical Engineering
CYBI 2026   13th International Conference on Cybernetics & Informatics
ICAITA 2026   15th International Conference on Advanced Information Technologies and Applications

All Rights Reserved @ Call for Papers - Conference & Journals