6 citations · 9 across the 11 of their papers we have counts for
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cs.DS2021
Lower Bounds for Sparse Oblivious Subspace Embeddings
Yi Li, Mingmou Liu
An oblivious subspace embedding (OSE), characterized by parameters , is a random matrix such that for any -dimensional subspace $T\subse…
cs.DS2021
Single Pass Entrywise-Transformed Low Rank Approximation
Yifei Jiang, Yi Li, Yiming Sun +2
In applications such as natural language processing or computer vision, one is given a large matrix and would like to compute a matrix decomposition, e…
cs.DS2021
Exponentially Improved Dimensionality Reduction for : Subspace Embeddings and Independence Testing
Yi Li, David P. Woodruff, Taisuke Yasuda
Despite many applications, dimensionality reduction in the -norm is much less understood than in the Euclidean norm. We give two new oblivious dimensionality reduction tech…