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Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations.

, , , and . ICML, volume 382 of ACM International Conference Proceeding Series, page 609-616. ACM, (2009)

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Proximity Variational Inference., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1961-1969. PMLR, (2018)Deep Survival Analysis: Nonparametrics and Missingness., , , and . MLHC, volume 85 of Proceedings of Machine Learning Research, page 244-256. PMLR, (2018)Bayesian Nonparametric Poisson Factorization for Recommendation Systems., , , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 275-283. JMLR.org, (2014)Black Box Variational Inference., , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 814-822. JMLR.org, (2014)Multiple Causal Inference with Latent Confounding, and . (2018)cite arxiv:1805.08273.Learning Invariant Representations with Missing Data., , , , , , and . CLeaR, volume 177 of Proceedings of Machine Learning Research, page 290-301. PMLR, (2022)X-CAL: Explicit Calibration for Survival Analysis., , , , and . NeurIPS, (2020)Hierarchical Implicit Models and Likelihood-Free Variational Inference., , and . NIPS, page 5523-5533. (2017)General Control Functions for Causal Effect Estimation from IVs., and . NeurIPS, (2020)Survival Mixture Density Networks., , and . MLHC, volume 182 of Proceedings of Machine Learning Research, page 224-248. PMLR, (2022)