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.
A. Gibbs, и F. Su. (2002)cite arxiv:math/0209021Comment: To appear, International Statistical Review. Related work at http://www.math.hmc.edu/~su/papers.html.