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Variational Inference for Infinitely Deep Neural Networks


Sep 21, 2022
Achille Nazaret, David Blei

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* Published at ICML 2022 

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Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse


Jul 19, 2022
Sachit Menon, David Blei, Carl Vondrick

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* Conference on Uncertainty in Artificial Intelligence (UAI) 2022 

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Reconstructing the Universe with Variational self-Boosted Sampling


Jun 28, 2022
Chirag Modi, Yin Li, David Blei

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* A shorter version of this paper is accepted for spotlight presentation in Machine Learning for Astrophysics Workshop at ICML, 2022 

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Estimating Social Influence from Observational Data


Mar 24, 2022
Dhanya Sridhar, Caterina De Bacco, David Blei

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* To appear at CLeaR 2022 (1st Conference on Causal Learning and Reasoning) 

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Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference


Jun 17, 2021
Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David Blei, Itsik Pe'er

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* 15 pages, 9 figures 

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Hierarchical Inducing Point Gaussian Process for Inter-domain Observations


Feb 28, 2021
Luhuan Wu, Andrew Miller, Lauren Anderson, Geoff Pleiss, David Blei, John Cunningham

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Invariant Representation Learning for Treatment Effect Estimation


Nov 24, 2020
Claudia Shi, Victor Veitch, David Blei

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Markovian Score Climbing: Variational Inference with KL(p||q)


Mar 23, 2020
Christian A. Naesseth, Fredrik Lindsten, David Blei

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General linear-time inference for Gaussian Processes on one dimension


Mar 11, 2020
Jackson Loper, David Blei, John P. Cunningham, Liam Paninski

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* 36 pages, 5 figures, submitted to ICML 

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