5 citations · 9 across the 6 of their papers we have counts for
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stat.ML2023
Discriminative calibration: Check Bayesian computation from simulations and flexible classifier
Yuling Yao, Justin Domke
To check the accuracy of Bayesian computations, it is common to use rank-based simulation-based calibration (SBC). However, SBC has drawbacks: The test statistic is somewhat ad-hoc…
stat.ML2020
On the Difficulty of Unbiased Alpha Divergence Minimization
Tomas Geffner, Justin Domke
Several approximate inference algorithms have been proposed to minimize an alpha-divergence between an approximating distribution and a target distribution. Many of these algorithm…
stat.ML2018
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding
Ga Wu, Justin Domke, Scott Sanner
Variational Autoencoders (VAEs) are a popular generative model, but one in which conditional inference can be challenging. If the decomposition into query and evidence variables is…