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Simone Garatti
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Simone Garatti12 visible / 12 total nodes / 30 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onWorks onWorks onAuthorshipWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalAuthorshipAuthorshipSimone GarattiASimone GarattiResearcherMulti-Variable Conformal Prediction: Optimizing Prediction Sets without Data SplittingWMulti-Variable Conforma...preprint / 2026Laura LützowALaura LützowResearcherMarco C. CampiAMarco C. CampiResearcherLars LindemannALars LindemannResearcherMatthias AlthoffAMatthias AlthoffResearcherMachine LearningTMachine Learning49008 worksA Theory of the Risk for Optimization with Relaxation and its Application to Support Vector MachinesWA Theory of the Risk fo...preprint / 2024Compression, Generalization and LearningWCompression, Generaliza...preprint / 2024A relaxation technique to ensure feasibility in stochastic control with input and state constraintsWA relaxation technique ...preprint / 2016Finite time distributed averaging over ring networksWFinite time distributed...preprint / 2016Energy management for building district cooling: a distributed approach to resource sharingWEnergy management for b...preprint / 2016
Person11 links

Simone Garatti

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PaperMulti-Variable Conformal Prediction: Optimizing Prediction Sets without Data SplittingAuthorship / preprint / 2026PersonLaura LützowCo-authorship / ResearcherPersonMarco C. CampiCo-authorship / ResearcherPersonLars LindemannCo-authorship / ResearcherPersonMatthias AlthoffCo-authorship / ResearcherTopicMachine LearningWorks on / 49008 worksPaperA Theory of the Risk for Optimization with Relaxation and its Application to Support Vector MachinesAuthorship / preprint / 2024PaperCompression, Generalization and LearningAuthorship / preprint / 2024

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