Source: IEEE International Workshop on Information Forensics and Security (WIFS 2023) ; https://hal.science/hal-04229257 ; IEEE International Workshop on Information Forensics and Security (WIFS 2023), Dec

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Academic Journal

An end-to-end data-driven optimisation framework for constrained trajectories

Authors : Dewez, Florent; Guedj, Benjamin; Talpaert, Arthur ...

Subjects: Statistical modelling; Functional data; Constrained optimisation Contents

Source: EISSN: 2632-6736 ; Data-Centric Engineering ; https://inria.hal.science/hal-03024720 ; Data-Centric Engineering, 2022, 3, pp.e6.

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Conference

Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data

Authors : Bars, Batiste Le; Bellet, Aurélien; Tommasi, Marc ...

Subjects: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]Valencia; Spain

Source: Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023) ; https://inria.hal.science/hal-03905091 ; Proceedings of The 26th International Conference on

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Academic Journal

Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly

Authors : Guedj, Benjamin; Li, Le;

Subjects: sequential learning; principal curves; data streams

Source: ISSN: 1099-4300 ; Entropy ; https://inria.hal.science/hal-01796011 ; Entropy, 2021, ⟨10.3390/e23111534⟩.

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Report

MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting

Authors : Biggs, Felix; Schrab, Antonin; Gretton, Arthur ...

Subjects: [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

Source: https://hal.science/hal-04156329 ; 2023.

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Report

MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting

Authors : Biggs, Felix; Schrab, Antonin; Gretton, Arthur ...

Subjects: [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

Source: https://hal.science/hal-04156329 ; 2023.

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Academic Journal

SMAGEXP: a galaxy tool suite for transcriptomics data meta-analysis.

Authors : Blanck, Samuel; Marot, Guillemette;

Subjects: Computational Biology; Data Analysis; Gene Expression Profiling

Source: EISSN: 2047-217X ; GigaScience ; https://hal.univ-lille.fr/hal-03897308 ; GigaScience, 2019, GigaScience, 8 (2), ⟨10.1093/gigascience/giy167⟩

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Conference

D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning

Authors : Bellet, Aurélien; Kermarrec, Anne-Marie; Lavoie, Erick ...

Subjects: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]Vienna; Austria

Source: 41st International Symposium on Reliable Distributed Systems (SRDS)https://inria.hal.science/hal-0390508541st International Symposium on Reliable Distributed Systems (SRDS), 2022, Vienna,

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Differentially Private Federated Learning on Heterogeneous Data

Authors : Noble, Maxence; Bellet, Aurélien; Dieuleveut, Aymeric ...

Subjects: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]Virtual; Spain

Source: Proceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS) ; https://inria.hal.science/hal-03905078 ; Proceedings of The 25th International Conference on

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