Fast Kernel Methods for Generic Lipschitz Losses via $p$ -Sparsified Sketches

8 June 2022

Papers citing "Fast Kernel Methods for Generic Lipschitz Losses via $p$-Sparsified Sketches"

4 / 4 papers shown

Title
Deep Sketched Output Kernel Regression for Structured Prediction T. Ahmad Junjie Yang Pierre Laforgue Florence dÁlché-Buc UQCV 25 0 0 13 Jun 2024
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss Paul Krzakala Junjie Yang Rémi Flamary Florence dÁlché-Buc Charlotte Laclau Matthieu Labeau OT 19 1 0 19 Feb 2024
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels T. Ahmad Luc Brogat-Motte Pierre Laforgue Florence dÁlché-Buc BDL 14 6 0 20 Feb 2023
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 70 277 0 09 Aug 2012