6 citations · 13 across the 4 of their papers we have counts for
4 papers
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
Matthew Fahrbach, Thomas Fu, Mehrdad Ghadiri
Kronecker regression is a highly-structured least squares problem , where the design matrix $\mathbf{K} = \…
Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling
Matthew Fahrbach, Mehrdad Ghadiri, Thomas Fu
Low-rank tensor decomposition generalizes low-rank matrix approximation and is a powerful technique for discovering low-dimensional structure in high-dimensional data. In this pape…
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
Lin Chen, Hossein Esfandiari, Thomas Fu +1
Computing approximate nearest neighbors in high dimensional spaces is a central problem in large-scale data mining with a wide range of applications in machine learning and data sc…
Categorical Feature Compression via Submodular Optimization
MohammadHossein Bateni, Lin Chen, Hossein Esfandiari +3
In the era of big data, learning from categorical features with very large vocabularies (e.g., 28 million for the Criteo click prediction dataset) has become a practical challenge…