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09/11/2022
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
Kronecker regression is a highly-structured least squares problem min_𝐱‖...
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07/22/2021
Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling
Low-rank tensor decomposition generalizes low-rank matrix approximation ...
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10/28/2019
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
Computing approximate nearest neighbors in high dimensional spaces is a ...
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04/30/2019
