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.
D. Diochnos, S. Mahloujifar, и M. Mahmoody. (2018)cite arxiv:1810.12272Comment: Full version of a work with the same title that will appear in NIPS 2018, 31 pages containing 5 figures, 1 table, 2 algorithms.
J. Negrea, M. Haghifam, G. Dziugaite, A. Khisti, и D. Roy. (2019)cite arxiv:1911.02151Comment: 23 pages, 1 figure. To appear in, Advances in Neural Information Processing Systems (33), 2019.
S. Yagli, A. Dytso, и H. Poor. (2020)cite arxiv:2005.02503Comment: Accepted for publication in Proceedings of 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020. arXiv version is 10pt font, 6 Pages. This is the same document as the SPAWC version, except that the conference version is written with 9pt font to meet the strict page margin requirements.