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Variational Inference with Locally Enhanced Bounds for Hierarchical Models


Mar 08, 2022
Tomas Geffner , Justin Domke

* Preprint 

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Amortized Variational Inference for Simple Hierarchical Models


Nov 04, 2021
Abhinav Agrawal , Justin Domke

* Neural Information Processing Systems (NeurIPS) 2021 

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Variational Marginal Particle Filters


Sep 30, 2021
Jinlin Lai , Daniel Sheldon , Justin Domke


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MCMC Variational Inference via Uncorrected Hamiltonian Annealing


Jul 08, 2021
Tomas Geffner , Justin Domke


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Empirical Evaluation of Biased Methods for Alpha Divergence Minimization


May 13, 2021
Tomas Geffner , Justin Domke


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An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations


Feb 25, 2021
Justin Domke


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On the Difficulty of Unbiased Alpha Divergence Minimization


Oct 22, 2020
Tomas Geffner , Justin Domke


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Approximation Based Variance Reduction for Reparameterization Gradients


Jul 29, 2020
Tomas Geffner , Justin Domke

* 19 pages 

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Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization


Jun 18, 2020
Abhinav Agrawal , Daniel Sheldon , Justin Domke


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