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Found 3 papers, 1 papers with code
Quantile Propagation for Wasserstein-Approximate Gaussian Processes
We show that QP matches quantile functions rather than moments as in EP and has the same mean update but a smaller variance update than EP, thereby alleviating EP's tendency to over-estimate posterior variances.
New Tricks for Estimating Gradients of Expectations
We introduce a family of pairwise stochastic gradient estimators for gradients of expectations, which are related to the log-derivative trick, but involve pairwise interactions between samples.
Neural Dynamic Programming for Musical Self Similarity
We present a neural sequence model designed specifically for symbolic music.
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