Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
Shuo Yang, Yanyao Shen, Sujay Sanghavi
–Neural Information Processing Systems
In this paper we provide a new algorithm - Interaction Hard Thresholding (IntHT) - which is the first one to provably accurately solve this problem in sub-quadratic time and space. It is a variant of Iterative Hard Thresholding; one that uses the special quadratic structure to devise a new way to (approx.) extract the top elements of a p
Neural Information Processing Systems
Jan-23-2025, 02:27:55 GMT
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