Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization

Lei Song, Ke Xue 0001, Xiaobin Huang, Chao Qian 0001. Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{Song0H022,
  title = {Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization},
  author = {Lei Song and Ke Xue 0001 and Xiaobin Huang and Chao Qian 0001},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/b6a171867138c80de2a35a6125d6757c-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/Song0H022},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}