Bias-Free Scalable Gaussian Processes via Randomized Truncations

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Abstract

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Publication
In 38th International Conference on Machine Learning (ICML 2021)
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Dan Biderman
Dan Biderman
Postdoctoral Scholar at Stanford Statistics & CS

Building AI models that learn with limited data and limited compute. Using them to understand brain and behavior.