Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)

Agnieszka Slowik, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, Lawrence C. Paulson. Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract). In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. pages 13919-13920, AAAI Press, 2020. [doi]

@inproceedings{SlowikMJHP20,
  title = {Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)},
  author = {Agnieszka Slowik and Chaitanya Mangla and Mateja Jamnik and Sean B. Holden and Lawrence C. Paulson},
  year = {2020},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/7232},
  researchr = {https://researchr.org/publication/SlowikMJHP20},
  cites = {0},
  citedby = {0},
  pages = {13919-13920},
  booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020},
  publisher = {AAAI Press},
  isbn = {978-1-57735-823-7},
}