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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}
}

@inproceedings{DBLP:conf/corl/CaldarelliCCRT23,
  author       = {Edoardo Caldarelli and
                  Antoine Chatalic and
                  Adri{\`{a}} Colom{\'{e}} and
                  Lorenzo Rosasco and
                  Carme Torras},
  title        = {Heteroscedastic Gaussian Processes and Random Features: Scalable Motion
                  Primitives with Guarantees},
  booktitle    = {CoRL},
  series       = {Proceedings of Machine Learning Research},
  volume       = {229},
  pages        = {3010--3029},
  publisher    = {{PMLR}},
  year         = {2023}
}

@inproceedings{DBLP:conf/nips/MeantiCKNPR23,
  author       = {Giacomo Meanti and
                  Antoine Chatalic and
                  Vladimir Kostic and
                  Pietro Novelli and
                  Massimiliano Pontil and
                  Lorenzo Rosasco},
  title        = {Estimating Koopman operators with sketching to provably learn large
                  scale dynamical systems},
  booktitle    = {NeurIPS},
  year         = {2023}
}

@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}
}

@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}
}

@inproceedings{DBLP:conf/aistats/ChatalicCVR22,
  author       = {Antoine Chatalic and
                  Luigi Carratino and
                  Ernesto De Vito and
                  Lorenzo Rosasco},
  title        = {Mean Nystr{\"{o}}m Embeddings for Adaptive Compressive Learning},
  booktitle    = {{AISTATS}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {151},
  pages        = {9869--9889},
  publisher    = {{PMLR}},
  year         = {2022}
}

@inproceedings{DBLP:conf/icml/ChatalicSRR22,
  author       = {Antoine Chatalic and
                  Nicolas Schreuder and
                  Lorenzo Rosasco and
                  Alessandro Rudi},
  title        = {Nystr{\"{o}}m Kernel Mean Embeddings},
  booktitle    = {{ICML}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {162},
  pages        = {3006--3024},
  publisher    = {{PMLR}},
  year         = {2022}
}

@inproceedings{DBLP:conf/stm/HoussiauSCAM22,
  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},
  booktitle    = {{STM}},
  series       = {Lecture Notes in Computer Science},
  volume       = {13867},
  pages        = {117--135},
  publisher    = {Springer},
  year         = {2022}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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    = {{ICASSP}},
  pages        = {7933--7937},
  publisher    = {{IEEE}},
  year         = {2019}
}

@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    = {{ICASSP}},
  pages        = {4714--4718},
  publisher    = {{IEEE}},
  year         = {2018}
}