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Alessandro Rudi
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Alessandro Rudi18 visible / 18 total nodes / 43 links

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Related contextRelated contextRelated contextCo-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipAuthorshipWorks onWorks onWorks onAuthorshipWorks onWorks onWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAlessandro RudiAAlessandro RudiResearcherMinimax Optimal Variance-Aware Regret Bounds for Multinomial Logistic MDPsWMinimax Optimal Varianc...preprint / 2026Pierre BoudartAPierre BoudartResearcherPierre GaillardAPierre GaillardResearcherApproximating Hamiltonian dynamics with the Nyström methodWApproximating Hamiltoni...preprint / 2020On the Sample Complexity of Subspace LearningWOn the Sample Complexit...preprint / 2014Less is More: Nyström Computational RegularizationWLess is More: Nyström C...preprint / 2016Artificial IntelligenceTArtificial Intelligence22915 worksMachine LearningTMachine Learning49008 worksmath.STTmath.ST3384 worksOn the Consistency of Max-Margin LossesWOn the Consistency of M...preprint / 2022Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert SpacesWOptimal Rates for Spect...preprint / 2022Structured Prediction with Partial Labelling through the Infimum LossWStructured Prediction w...preprint / 2020Learning PSD-valued functions using kernel sums-of-squaresWLearning PSD-valued fun...preprint / 2022Second order conditions to decompose smooth functions as sums of squaresWSecond order conditions...preprint / 2022Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of SquaresWNon-Convex Optimization...preprint / 2022On the Benefits of Large Learning Rates for Kernel MethodsWOn the Benefits of Larg...preprint / 2022Nyström Kernel Mean EmbeddingsWNyström Kernel Mean Emb...preprint / 2022
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Alessandro Rudi

Researcher

PaperMinimax Optimal Variance-Aware Regret Bounds for Multinomial Logistic MDPsAuthorship / preprint / 2026PersonPierre BoudartCo-authorship / ResearcherPersonPierre GaillardCo-authorship / ResearcherPaperApproximating Hamiltonian dynamics with the Nyström methodAuthorship / preprint / 2020PaperOn the Sample Complexity of Subspace LearningAuthorship / preprint / 2014PaperLess is More: Nyström Computational RegularizationAuthorship / preprint / 2016TopicArtificial IntelligenceWorks on / 22915 worksTopicMachine LearningWorks on / 49008 works

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