Title: Monte Carlo Gradient Estimation in Machine Learning
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In this post, I shall maintain a list of interesting papers and resources at the intersection of Monte Carlo sampling (especially MCMC and quantum MC) and machine learning techniques (especially infrastructure for auto gradient and optimizations)
In this post, I shall maintain a list of interesting papers and resources at the intersection of Monte Carlo sampling (especially MCMC and quantum MC) and machine learning techniques (especially infrastructure for auto gradient and optimizations)
This might be a further attempt beyond https://github.com/quclub/Paper-reading/issues/38, trying to bridge QMC and AD more tightly.