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Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds

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Hi, I have a metalearning problem where all inputs and outputs are 2D images. I'd like to use the wonderful deep GP package you have developed. Based on the MNIST...

Hi, I am running your code to compare Test RMSE on meta-training and meta-testing tasks as a function of the number of meta-training tasks for PACOH and MLAP. As you...

But maybe this doesn't matter, since both the meta train and meta test data are from `generate_meta_test_data`? Is the reason for this that for the synthetically generated datasets it doesn't...

Hi @jonasrothfuss @fortuin !! I was wondering how I use the pac regression with a basic uni-variate example. Specifically with the below dataset. ```python import numpy as np import yfinance...