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20222024
most citedSketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels

2 citations · 3 across the 3 of their papers we have counts for

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stat.ML2022★ 1 cited

Fast Kernel Methods for Generic Lipschitz Losses via -Sparsified Sketches

Tamim El Ahmad, Pierre Laforgue, Florence d'Alché-Buc

Kernel methods are learning algorithms that enjoy solid theoretical foundations while suffering from important computational limitations. Sketching, which consists in looking for s…