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05/17/2023
Stein Î -Importance Sampling
Stein discrepancies have emerged as a powerful tool for retrospective im...
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11/10/2022
Controlling Moments with Kernel Stein Discrepancies
Quantifying the deviation of a probability distribution is challenging w...
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10/19/2022
A kernel Stein test of goodness of fit for sequential models
We propose a goodness-of-fit measure for probability densities modeling ...
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06/07/2021
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
Proxy causal learning (PCL) is a method for estimating the causal effect...
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02/24/2020
Testing Goodness of Fit of Conditional Density Models with Kernels
We propose two nonparametric statistical tests of goodness of fit for co...
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02/22/2020
Amortised Learning by Wake-Sleep
Models that employ latent variables to capture structure in observed dat...
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07/01/2019
A Kernel Stein Test for Comparing Latent Variable Models
We propose a nonparametric, kernel-based test to assess the relative goo...
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10/27/2018
Informative Features for Model Comparison
Given two candidate models, and a set of target observations, we address...
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03/08/2018
