Sublinear optimization for machine learning

Sublinear-Time Optimization for High-Dimensional Learning

Across domains, the scale of data and complexity of machine learning models have both been increasing greatly in recent years. For many such large scale models of interest, tractable estimation without access to extensive computational infrastructure is still an open problem. In this thesis, we approach the tractability of large-scale estimation problems through the lens of leveraging sparse st...

Optimization for Machine Learning

This is a draft containing only sra chapter.tex and an abbreviated front matter. Please check that the formatting and small changes have been performed correctly. Please verify the affiliation. Please use this version for sending us future modifications.

Optimization for Machine Learning

Optimization for Machine Learning

Optimization for Machine Learning

This is a draft containing only sra chapter.tex and an abbreviated front matter. Please check that the formatting and small changes have been performed correctly. Please verify the affiliation. Please use this version for sending us future modifications.