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Probabilistic Boolean Tensor Decomposition.

, , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4410-4419. PMLR, (2018)

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Bayesian Boolean Matrix Factorisation., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2969-2978. PMLR, (2017)Interacting sequential Monte Carlo samplers for trans-dimensional simulation, , , and . Computational Statistics & Data Analysis, 52 (4): 1765--1791 (Jan 10, 2008)Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 405-413. JMLR.org, (2014)Phylogenetic inference under recombination using Bayesian stochastic topology selection., , and . Bioinform., 25 (2): 197-203 (2009)Probabilistic Boolean Tensor Decomposition., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4410-4419. PMLR, (2018)PWSHAP: A Path-Wise Explanation Model for Targeted Variables., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 34054-34089. PMLR, (2023)Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers., , , , , , , , , and 15 other author(s). Nat. Mac. Intell., 6 (2): 229-242 (2024)Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels., , and . CoRR, (2019)Approximate Bayesian feature selection on a large meta-dataset offers novel insights on factors that effect siRNA potency., , and . Bioinform., 25 (13): 1594-1601 (2009)Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo., , and . ICANN, volume 2130 of Lecture Notes in Computer Science, page 103-110. Springer, (2001)