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Alireza Samadian

2 accepted papers

2021

In-Database Regression in Input Sparsity Time

ICML 2021spotlight

Sketching is a powerful dimensionality reduction technique for accelerating algorithms for data analysis. A crucial step in sketching methods is to compute a subspace embedding (SE) for a large matrix $A \in \mathbb{R}^{N \times d}$. SE’s are the primary tool for obtaining extremely efficient soluti…

2020

Unconditional Coresets for Regularized Loss Minimization

AISTATS 2020poster

We design and mathematically analyze sampling-based algorithms for regularized loss minimization problems that are implementable in popular computational models for large data, in which the access to the data is restricted in some way. Our main result is that if the regularizer’s effect does not bec…

Cited by 11SourcePDFScholar