Efficient Second-Order Online Kernel Learning with Adaptive Embedding
Daniele Calandriello, Alessandro Lazaric, Michal Valko
–Neural Information Processing Systems
Related work Although first-order OKL methods cannot achieve logarithmic regret, many approximation methods have been proposed to make them scale to large datasets.
Neural Information Processing Systems
Nov-21-2025, 07:12:38 GMT
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