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02/22/2021
A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization
Machine learning practitioners invest significant manual and computation...
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02/15/2021
High-Dimensional Gaussian Process Inference with Derivatives
Although it is widely known that Gaussian processes can be conditioned o...
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02/20/2019
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization
Pre-conditioning is a well-known concept that can significantly improve ...
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06/01/2017