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Finding Global Minima via Kernel Approximations.

, , и . CoRR, (2020)

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Alessandro Valeri

Fluorescence resonance energy transfer between multiple chromophores studied by single-molecule spectroscopy. Uni Düsseldorf, (2009)

Alessandro Zivelonghi

Alessandro Nova

Alessandro Topa

Alessandro Mirizzi

 

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Consistent Structured Prediction with Max-Min Margin Markov Networks., , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 7381-7391. PMLR, (2020)Structured Prediction with Partial Labelling through the Infimum Loss., , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 1230-1239. PMLR, (2020)Nyström Kernel Mean Embeddings., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 3006-3024. PMLR, (2022)On the Benefits of Large Learning Rates for Kernel Methods., , и . COLT, том 178 из Proceedings of Machine Learning Research, стр. 254-282. PMLR, (2022)Efficient online learning with kernels for adversarial large scale problems., , и . NeurIPS, стр. 9427-9436. (2019)Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance., , , и . NeurIPS, стр. 5864-5874. (2018)Learning with SGD and Random Features., , и . NeurIPS, стр. 10213-10224. (2018)Sampling from Arbitrary Functions via PSD Models., , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 2823-2861. PMLR, (2022)Linear Solvability in the Viewing Graph., , и . ACCV (3), том 6494 из Lecture Notes in Computer Science, стр. 369-381. Springer, (2010)Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3642-3652. PMLR, (2020)