A. Souza, L. Nardi, L. Oliveira, K. Olukotun, M. Lindauer, и F. Hutter. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), (сентября 2021)To appear.
J. Huggins, M. Kasprzak, T. Campbell, и T. Broderick. (2019)cite arxiv:1910.04102Comment: A python package for carrying out our validated variational inference workflow -- including doing black-box variational inference and computing the bounds we develop in this paper -- is available at https://github.com/jhuggins/viabel. The same repository also contains code for reproducing all of our experiments.
F. Lemmerich, M. Becker, P. Singer, D. Helic, A. Hotho, и M. Strohmaier. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016, стр. 965--974. ACM, (2016)
A. Kendall, и Y. Gal. Proceedings of the 31st International Conference on Neural Information Processing Systems, стр. 5580–5590. Red Hook, NY, USA, Curran Associates Inc., (2017)
K. Shridhar, F. Laumann, и M. Liwicki. (2019)cite arxiv:1901.02731Comment: arXiv admin note: text overlap with arXiv:1506.02158, arXiv:1703.04977 by other authors.
M. Vadera, A. Cobb, B. Jalaian, и B. Marlin. (2020)cite arxiv:2007.04466Comment: Presented at the ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning.
J. Hron, A. Matthews, и Z. Ghahramani. Proceedings of the 35th International Conference on Machine Learning, том 80 из Proceedings of Machine Learning Research, стр. 2019--2028. Stockholmsmässan, Stockholm Sweden, PMLR, (10--15 Jul 2018)
C. Chu, K. Minami, и K. Fukumizu. (2020)cite arxiv:2004.01822Comment: ICLR 2020, Workshop on Integration of Deep Neural Models and Differential Equations.
S. Sinha, H. Bharadhwaj, A. Goyal, H. Larochelle, A. Garg, и F. Shkurti. (2020)cite arxiv:2003.04514Comment: Samarth Sinha* and Homanga Bharadhwaj* contributed equally to this work. Code will be released at https://github.com/rvl-lab-utoronto/dibs.