Fast Training of Large Kernel Models with Delayed Projections

NeurIPSSpotlight2025

Authors
Amirhesam Abedsoltan, Siyuan Ma, Parthe Pandit, Mikhail Belkin
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Classical kernel machines have historically faced significant challenges in scaling to large datasets and model sizes—a key ingredient that has driven the success of neural networks…

Opening excerpt from the authors’ abstract. source

Read the paper

Topics

dataset kernel

← All NeurIPS 2025 Spotlight papers · Browse the whole archive