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Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels.

, , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 109-117. PMLR, (2024)

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Pierre Laforgue

Pierre Venet

Pierre Nyabyenda

Pierre Gottschlich

Pierre Mattern

 

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Visual Recognition with Deep Learning from Biased Image Datasets., , и . CoRR, (2021)Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 5598-5607. PMLR, (2020)Multitask Online Mirror Descent., , , и . CoRR, (2021)When OT meets MoM: Robust estimation of Wasserstein Distance., , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 136-144. PMLR, (2021)Linear Bandits with Memory., , и . Trans. Mach. Learn. Res., (2024)Autoencoding any Data through Kernel Autoencoders., , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 1061-1069. PMLR, (2019)On Medians of (Randomized) Pairwise Means., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 1272-1281. PMLR, (2019)Fast Kernel Methods for Generic Lipschitz Losses via p-Sparsified Sketches., , и . Trans. Mach. Learn. Res., (2023)Multitask Online Learning: Listen to the Neighborhood Buzz., , и . CoRR, (2023)A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits., , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 971-990. PMLR, (2022)