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The Indian Buffet Hawkes Process to Model Evolving Latent Influences.

, , and . UAI, page 795-804. AUAI Press, (2018)

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Variational Bayesian Methods for Stochastically Constrained System Design Problems., , and . AABI, volume 118 of Proceedings of Machine Learning Research, page 1-12. PMLR, (2019)Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency., , and . SIAM J. Optim., 33 (3): 1968-1995 (September 2023)Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency., , and . CoRR, (2021)Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs., , , and . CoRR, (2018)Retrieved context and the discovery of semantic structure., and . NIPS, page 1193-1200. Curran Associates, Inc., (2007)The Indian Buffet Hawkes Process to Model Evolving Latent Influences., , and . UAI, page 795-804. AUAI Press, (2018)Asymptotic Consistency of Loss-Calibrated Variational Bayes., , and . CoRR, (2019)Dependent Normalized Random Measures., , , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 969-977. JMLR.org, (2013)A Stein-Papangelou Goodness-of-Fit Test for Point Processes., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 226-235. PMLR, (2019)Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5557-5566. PMLR, (2018)