Broderick, Tamara, Jim Pitman, and Michael I. Jordan. 2013. “Feature Allocations, Probability Functions, and Paintboxes.” Bayesian Analysis
8 (4): 801–36.
Dai, Bin, Shilin Ding, and Grace Wahba. 2013. “Multivariate Bernoulli Distribution.” Bernoulli
Lumbreras, Alberto, Louis Filstroff, and Cédric Févotte. 2020. “Bayesian Mean-Parameterized Nonnegative Binary Matrix Factorization.” Data Mining and Knowledge Discovery
34 (6): 1898–1935.
Miettinen, Pauli, and Stefan Neumann. 2020. “Recent Developments in Boolean Matrix Factorization.”
In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
, 4922–28. Yokohama, Japan: International Joint Conferences on Artificial Intelligence Organization.
Reuter, Stephan, Ba-Tuong Vo, Ba-Ngu Vo, and Klaus Dietmayer. 2014. “The Labeled Multi-Bernoulli Filter.” IEEE Transactions on Signal Processing
62 (12): 15.
Rukat, Tammo, Chris C. Holmes, Michalis K. Titsias, and Christopher Yau. 2017. “Bayesian Boolean Matrix Factorisation.”
In Proceedings of the 34th International Conference on Machine Learning
, 2969–78. PMLR.
Vo, Ba Ngu, Ba Tuong Vo, and Hung Gia Hoang. 2017. “An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter.” arXiv:1606.08350 [Stat]
Vo, Ba-Ngu, Ba-Tuong Vo, and Dinh Phung. 2014. “Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter.” IEEE Transactions on Signal Processing
62 (24): 6554–67.
Vo, Ba-Tuong, and Ba-Ngu Vo. 2013. “Labeled Random Finite Sets and Multi-Object Conjugate Priors.” IEEE Transactions on Signal Processing
61 (13): 3460–75.
Vo, Ba-Tuong, Ba-Ngu Vo, and Antonio Cantoni. 2009. “The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations.” IEEE Transactions on Signal Processing
57 (2): 409–23.
Wang, Xi, and Junming Yin. 2020. “Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models.”
In Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI)
, 500–509. PMLR.
Zhang, Aonan, and John Paisley. 2019. “Random Function Priors for Correlation Modeling.”
In International Conference on Machine Learning
Zhou, Mingyuan, Lauren Hannah, David Dunson, and Lawrence Carin. 2012. “Beta-Negative Binomial Process and Poisson Factor Analysis.”
In Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics
, 1462–71. PMLR.