@inproceedings{13249,
  abstract     = {{We revisit algorithm selection for declarative programming solvers. We introduce two main ideas to improve cost-sensitive hierarchical clustering: First, to augment the portfolio builder with a self-configuration component. And second, we propose that the algorithm selector assesses the confidence level of its own prediction, so that a more defensive recourse action can be used to overturn the original recommendation.}},
  author       = {{Ansotegui, Carlos and Sellmann, Meinolf and Tierney, Kevin}},
  booktitle    = {{Principles and Practice of Constraint Programming}},
  editor       = {{Hooker, John}},
  isbn         = {{978-3-319-98334-9}},
  pages        = {{524--534}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Self-configuring Cost-Sensitive Hierarchical Clustering with Recourse}}},
  year         = {{2018}},
}