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Score Modeling for Simulation-based Inference


Sep 28, 2022
Tomas Geffner, George Papamakarios, Andriy Mnih


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Langevin Diffusion Variational Inference


Aug 16, 2022
Tomas Geffner, Justin Domke


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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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Deep End-to-end Causal Inference


Feb 04, 2022
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang


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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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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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A Rule for Gradient Estimator Selection, with an Application to Variational Inference


Nov 05, 2019
Tomas Geffner, Justin Domke

* 18 pages, preliminary work 

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