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Differentially Private Compressive K-means.

, , , , , и . ICASSP, стр. 7933-7937. IEEE, (2019)

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Gerhard Antoine

Antoine Choulhod

Antoine Taouk

Rainer Antoine

Antoine Kahn

 

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Mean Nyström Embeddings for Adaptive Compressive Learning., , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 9869-9889. PMLR, (2022)Sketching Data Sets for Large-Scale Learning: Keeping only what you need., , , , , и . IEEE Signal Process. Mag., 38 (5): 12-36 (2021)M2M: A General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch., , , , и . STM, том 13867 из Lecture Notes in Computer Science, стр. 117-135. Springer, (2022)Nyström Kernel Mean Embeddings., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 3006-3024. PMLR, (2022)Efficient and Privacy-Preserving Compressive Learning. (Méthodes efficaces pour l'apprentissage compressif avec garanties de confidentialité).. University of Rennes 1, France, (2020)Differentially Private Compressive K-means., , , , , и . ICASSP, стр. 7933-7937. IEEE, (2019)Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees., , , , и . CoRL, том 229 из Proceedings of Machine Learning Research, стр. 3010-3029. PMLR, (2023)Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling., , , и . CoRR, (2023)Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method., , , , , , и . CoRR, (2024)