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cs.LG2022
Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis
Andrew Wood, Moshik Hershcovitch, Daniel Waddington +5
Dimensionality reduction algorithms are standard tools in a researcher's toolbox. Dimensionality reduction algorithms are frequently used to augment downstream tasks such as machin…
cs.LG2022
Non-Volatile Memory Accelerated Posterior Estimation
Andrew Wood, Moshik Hershcovitch, Daniel Waddington +2
Bayesian inference allows machine learning models to express uncertainty. Current machine learning models use only a single learnable parameter combination when making predictions,…