Call for papers:

It is our pleasure to invite submissions on all aspects of Constructive Machine Learning.

We welcome contributions on both theory and applications related to constructive machine-learning problems. We also welcome submissions containing previously published content in fields related to machine learning, especially descriptions of real-world problems and applications. Topics of interest (though not exhaustive) include:


  • Active approaches for structured output learning
  • Transfer and multi-task learning of generative models
  • Active search and online optimization in relational domains
  • Learning with constraints
  • Integrating learning and search
  • De novo drug design
  • Generation of art (e.g., music composition)
  • Synthetic biology
  • Construction of game levels
  • Generation of novel food recipes
  • Design of product offers, e.g., for insurance policies
  • Creation of music playlists, travel itineraries, etc.

We welcome work-in-progress contributions, position papers, as well as papers discussing potential research directions. Submission of previously published work or work under review is allowed. However, preference will be given to novel work or work that was not yet presented elsewhere. All double submissions must be clearly declared as such!

Submissions will be reviewed on the basis of relevance, significance, technical quality, and clarity. All accepted papers will be presented as posters and among them a few will be selected for the oral presentation.

Submissions should be in the NIPS 2013 format, with a maximum of 4 pages (excluding references). Accepted papers will be made available online at the workshop website, but the workshop proceedings can be considered non-archival. Submissions need not be anonymous. All papers should be submitted as pdf via email to