Matthew Fahrbach is a researcher whose interests include algorithms, discrete mathematics, machine learning, and optimization.
How media typically covers Matthew Fahrbach
Referenced in coverage
Google introduced GIST, a provably-efficient algorithm that balances data diversity and utility for subset selection in large datasets, outperforming state-of-the-art benchmarks on image classification tasks.
“Co-introduced GIST algorithm at NeurIPS 2025 for balancing data diversity and utility in machine learning datasets.”