The (Non-Convex) Optimal Uniform Quantization Problem
berkeley.edu
The (Non-Convex) Optimal Uniform Quantization Problem
Several issues in machine learning and inverse problems require to generate discrete data, as if sampled from a model probability distribution. A common way to do so relies on the construction of a uniform probability distribution over a set of N points which minimizes the Wasserstein distance to the model distribution. This minimization ...
Oct 25, 2021
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