Mohammad Gheshlaghi Azar, Eva L. Dyer, Konrad P. Körding. Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes. In Alexander T. Ihler, Dominik Janzing, editors, Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA. AUAI Press, 2016. [doi]
@inproceedings{AzarDK16,
title = {Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes},
author = {Mohammad Gheshlaghi Azar and Eva L. Dyer and Konrad P. Körding},
year = {2016},
url = {http://auai.org/uai2016/proceedings/papers/90.pdf},
researchr = {https://researchr.org/publication/AzarDK16},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA},
editor = {Alexander T. Ihler and Dominik Janzing},
publisher = {AUAI Press},
isbn = {978-0-9966431-1-5},
}