Learning Sparse Distributions using Iterative Hard Thresholding
–Neural Information Processing Systems
In this work, we consider IHT as a solution to the problem of learning sparse discrete distributions. We study the hardness of using IHT on the space of measures.
Neural Information Processing Systems
Oct-2-2025, 04:21:37 GMT
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