Significance of Gradient Information in Bayesian Optimization

Shubhanshu Shekhar, Tara Javidi. Significance of Gradient Information in Bayesian Optimization. In Arindam Banerjee 0001, Kenji Fukumizu, editors, The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event. Volume 130 of Proceedings of Machine Learning Research, pages 2836-2844, PMLR, 2021. [doi]

@inproceedings{ShekharJ21,
  title = {Significance of Gradient Information in Bayesian Optimization},
  author = {Shubhanshu Shekhar and Tara Javidi},
  year = {2021},
  url = {http://proceedings.mlr.press/v130/shekhar21a.html},
  researchr = {https://researchr.org/publication/ShekharJ21},
  cites = {0},
  citedby = {0},
  pages = {2836-2844},
  booktitle = {The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event},
  editor = {Arindam Banerjee 0001 and Kenji Fukumizu},
  volume = {130},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}