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20152026
most citedSapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions

11 citations

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cs.DC2022

Optimization of the Sparse Multi-Threaded Cholesky Factorization for A64FX

Valentin Le Fèvre, Tetsuzo Usui, Marc Casas

Sparse linear algebra routines are fundamental building blocks of a large variety of scientific applications. Direct solvers, which are methods for solving linear systems via the f…

cs.LG2022★ 11 cited

SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions

Ripon K. Saha, Akira Ura, Sonal Mahajan +6

Automatic machine learning, or AutoML, holds the promise of truly democratizing the use of machine learning (ML), by substantially automating the work of data scientists. However,…