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@article{DBLP:journals/corr/abs-2403-02811, author = {Edoardo Caldarelli and Antoine Chatalic and Adri{\`{a}} Colom{\'{e}} and Cesare Molinari and Carlos Ocampo{-}Martinez and Carme Torras and Lorenzo Rosasco}, title = {Linear quadratic control of nonlinear systems with Koopman operator learning and the Nystr{\"{o}}m method}, journal = {CoRR}, volume = {abs/2403.02811}, year = {2024}, url = {https://doi.org/10.48550/arXiv.2403.02811}, doi = {10.48550/ARXIV.2403.02811}, eprinttype = {arXiv}, eprint = {2403.02811}, timestamp = {Wed, 10 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2403-02811.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/corl/CaldarelliCCRT23, author = {Edoardo Caldarelli and Antoine Chatalic and Adri{\`{a}} Colom{\'{e}} and Lorenzo Rosasco and Carme Torras}, editor = {Jie Tan and Marc Toussaint and Kourosh Darvish}, title = {Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees}, booktitle = {Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {229}, pages = {3010--3029}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v229/caldarelli23a.html}, timestamp = {Tue, 07 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/corl/CaldarelliCCRT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/MeantiCKNPR23, author = {Giacomo Meanti and Antoine Chatalic and Vladimir Kostic and Pietro Novelli and Massimiliano Pontil and Lorenzo Rosasco}, editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine}, title = {Estimating Koopman operators with sketching to provably learn large scale dynamical systems}, booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023}, year = {2023}, url = {http://papers.nips.cc/paper\_files/paper/2023/hash/f3d1e34a15c0af0954ae36a7f811c754-Abstract-Conference.html}, timestamp = {Fri, 01 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/MeantiCKNPR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2306-04520, author = {Giacomo Meanti and Antoine Chatalic and Vladimir R. Kostic and Pietro Novelli and Massimiliano Pontil and Lorenzo Rosasco}, title = {Estimating Koopman operators with sketching to provably learn large scale dynamical systems}, journal = {CoRR}, volume = {abs/2306.04520}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2306.04520}, doi = {10.48550/ARXIV.2306.04520}, eprinttype = {arXiv}, eprint = {2306.04520}, timestamp = {Wed, 14 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2306-04520.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2311-13548, author = {Antoine Chatalic and Nicolas Schreuder and Ernesto De Vito and Lorenzo Rosasco}, title = {Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling}, journal = {CoRR}, volume = {abs/2311.13548}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2311.13548}, doi = {10.48550/ARXIV.2311.13548}, eprinttype = {arXiv}, eprint = {2311.13548}, timestamp = {Wed, 29 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2311-13548.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/aistats/ChatalicCVR22, author = {Antoine Chatalic and Luigi Carratino and Ernesto De Vito and Lorenzo Rosasco}, editor = {Gustau Camps{-}Valls and Francisco J. R. Ruiz and Isabel Valera}, title = {Mean Nystr{\"{o}}m Embeddings for Adaptive Compressive Learning}, booktitle = {International Conference on Artificial Intelligence and Statistics, {AISTATS} 2022, 28-30 March 2022, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {151}, pages = {9869--9889}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v151/chatalic22a.html}, timestamp = {Sat, 30 Sep 2023 09:34:08 +0200}, biburl = {https://dblp.org/rec/conf/aistats/ChatalicCVR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/ChatalicSRR22, author = {Antoine Chatalic and Nicolas Schreuder and Lorenzo Rosasco and Alessandro Rudi}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Nystr{\"{o}}m Kernel Mean Embeddings}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {3006--3024}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/chatalic22a.html}, timestamp = {Tue, 12 Jul 2022 17:36:52 +0200}, biburl = {https://dblp.org/rec/conf/icml/ChatalicSRR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/stm/HoussiauSCAM22, author = {Florimond Houssiau and Vincent Schellekens and Antoine Chatalic and Shreyas Kumar Annamraju and Yves{-}Alexandre de Montjoye}, editor = {Gabriele Lenzini and Weizhi Meng}, title = {M\({}^{\mbox{2}}\)M: {A} General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch}, booktitle = {Security and Trust Management - 18th International Workshop, {STM} 2022, Copenhagen, Denmark, September 29, 2022, Proceedings}, series = {Lecture Notes in Computer Science}, volume = {13867}, pages = {117--135}, publisher = {Springer}, year = {2022}, url = {https://doi.org/10.1007/978-3-031-29504-1\_7}, doi = {10.1007/978-3-031-29504-1\_7}, timestamp = {Tue, 02 May 2023 15:31:34 +0200}, biburl = {https://dblp.org/rec/conf/stm/HoussiauSCAM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2201-13055, author = {Antoine Chatalic and Nicolas Schreuder and Alessandro Rudi and Lorenzo Rosasco}, title = {Nystr{\"{o}}m Kernel Mean Embeddings}, journal = {CoRR}, volume = {abs/2201.13055}, year = {2022}, url = {https://arxiv.org/abs/2201.13055}, eprinttype = {arXiv}, eprint = {2201.13055}, timestamp = {Wed, 02 Feb 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2201-13055.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2211-14062, author = {Florimond Houssiau and Vincent Schellekens and Antoine Chatalic and Shreyas Kumar Annamraju and Yves{-}Alexandre de Montjoye}, title = {M\({}^{\mbox{2}}\)M: {A} general method to perform various data analysis tasks from a differentially private sketch}, journal = {CoRR}, volume = {abs/2211.14062}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2211.14062}, doi = {10.48550/ARXIV.2211.14062}, eprinttype = {arXiv}, eprint = {2211.14062}, timestamp = {Tue, 29 Nov 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2211-14062.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/spm/GribonvalCKSJS21, author = {R{\'{e}}mi Gribonval and Antoine Chatalic and Nicolas Keriven and Vincent Schellekens and Laurent Jacques and Philip Schniter}, title = {Sketching Data Sets for Large-Scale Learning: Keeping only what you need}, journal = {{IEEE} Signal Process. Mag.}, volume = {38}, number = {5}, pages = {12--36}, year = {2021}, url = {https://doi.org/10.1109/MSP.2021.3092574}, doi = {10.1109/MSP.2021.3092574}, timestamp = {Thu, 16 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/spm/GribonvalCKSJS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2110-10996, author = {Antoine Chatalic and Luigi Carratino and Ernesto De Vito and Lorenzo Rosasco}, title = {Mean Nystr{\"{o}}m Embeddings for Adaptive Compressive Learning}, journal = {CoRR}, volume = {abs/2110.10996}, year = {2021}, url = {https://arxiv.org/abs/2110.10996}, eprinttype = {arXiv}, eprint = {2110.10996}, timestamp = {Fri, 29 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2110-10996.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@phdthesis{DBLP:phd/hal/Chatalic20, author = {Antoine Chatalic}, title = {Efficient and Privacy-Preserving Compressive Learning. (M{\'{e}}thodes efficaces pour l'apprentissage compressif avec garanties de confidentialit{\'{e}})}, school = {University of Rennes 1, France}, year = {2020}, url = {https://tel.archives-ouvertes.fr/tel-03103525}, timestamp = {Tue, 02 Feb 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/phd/hal/Chatalic20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2008-01839, author = {R{\'{e}}mi Gribonval and Antoine Chatalic and Nicolas Keriven and Vincent Schellekens and Laurent Jacques and Philip Schniter}, title = {Sketching Datasets for Large-Scale Learning (long version)}, journal = {CoRR}, volume = {abs/2008.01839}, year = {2020}, url = {https://arxiv.org/abs/2008.01839}, eprinttype = {arXiv}, eprint = {2008.01839}, timestamp = {Sun, 25 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2008-01839.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/tsp/ByrneCGS19, author = {Evan Byrne and Antoine Chatalic and R{\'{e}}mi Gribonval and Philip Schniter}, title = {Sketched Clustering via Hybrid Approximate Message Passing}, journal = {{IEEE} Trans. Signal Process.}, volume = {67}, number = {17}, pages = {4556--4569}, year = {2019}, url = {https://doi.org/10.1109/TSP.2019.2924585}, doi = {10.1109/TSP.2019.2924585}, timestamp = {Tue, 10 Mar 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/tsp/ByrneCGS19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icassp/SchellekensCHMJ19, author = {Vincent Schellekens and Antoine Chatalic and Florimond Houssiau and Yves{-}Alexandre de Montjoye and Laurent Jacques and R{\'{e}}mi Gribonval}, title = {Differentially Private Compressive K-means}, booktitle = {{IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2019, Brighton, United Kingdom, May 12-17, 2019}, pages = {7933--7937}, publisher = {{IEEE}}, year = {2019}, url = {https://doi.org/10.1109/ICASSP.2019.8682829}, doi = {10.1109/ICASSP.2019.8682829}, timestamp = {Wed, 16 Oct 2019 14:14:52 +0200}, biburl = {https://dblp.org/rec/conf/icassp/SchellekensCHMJ19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icassp/ChatalicGK18, author = {Antoine Chatalic and R{\'{e}}mi Gribonval and Nicolas Keriven}, title = {Large-Scale High-Dimensional Clustering with Fast Sketching}, booktitle = {2018 {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2018, Calgary, AB, Canada, April 15-20, 2018}, pages = {4714--4718}, publisher = {{IEEE}}, year = {2018}, url = {https://doi.org/10.1109/ICASSP.2018.8461328}, doi = {10.1109/ICASSP.2018.8461328}, timestamp = {Sun, 25 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icassp/ChatalicGK18.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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