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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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