Exponential Convergence of Sum-of-Squares Hierarchies for Trigonometric Polynomials von Bach, Francis, Rudi, Alessandro

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Approximating Hamiltonian dynamics with the Nystrom method von Rudi, Alessandro, Wossnig, Leonard, Ciliberto, Carlo, Rocchetto, Andrea, Pontil, Massimiliano, Severini, Simone

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Regularized Kernel Algorithms for Support Estimation von Rudi, Alessandro, De Vito, Ernesto, Verri, Alessandro, Odone, Francesca

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Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces von Lin, Junhong, Rudi, Alessandro, Rosasco, Lorenzo, Cevher, Volkan

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Finding global minima via kernel approximations von Rudi, Alessandro, Marteau-Ferey, Ulysse, Bach, Francis

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A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings von Ciliberto, Carlo, Rosasco, Lorenzo, Rudi, Alessandro

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Second Order Conditions to Decompose Smooth Functions as Sums of Squares von Marteau-Ferey, Ulysse, Bach, Francis, Rudi, Alessandro

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Faster Kriging: Facing High-Dimensional Simulators von Lu, Xuefei, Rudi, Alessandro, Borgonovo, Emanuele, Rosasco, Lorenzo

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Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces von Lin, Junhong, Alessandro Rudi, Rosasco, Lorenzo, Cevher, Volkan

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Vector-Valued Least-Squares Regression under Output Regularity Assumptions von Brogat-Motte, Luc, Rudi, Alessandro, Brouard, Celine, Rousu, Juho, d'Alché-Buc, Florence

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Statistical Limits of Supervised Quantum Learning von Ciliberto, Carlo, Rocchetto, Andrea, Alessandro Rudi, Wossnig, Leonard

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Statistical limits of supervised quantum learning von Ciliberto, Carlo, Rocchetto, Andrea, Rudi, Alessandro, Wossnig, Leonard

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Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces von Lin, Junhong, Rudi, Alessandro, Rosasco, Lorenzo, Cevher, Volkan

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Geometrical and computational aspects of Spectral Support Estimation for novelty detection von Rudi, Alessandro, Odone, Francesca, De Vito, Ernesto

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Solving moment and polynomial optimization problems on Sobolev spaces von Henrion, Didier, Rudi, Alessandro

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Regularization: From Inverse Problems to Large-Scale Machine Learning von De Vito, Ernesto, Rosasco, Lorenzo, Rudi, Alessandro

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Non-Parametric Learning of Stochastic Differential Equations with Non-asymptotic Fast Rates of Convergence von Bonalli, Riccardo, Rudi, Alessandro

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Exponential convergence of sum-of-squares hierarchies for trigonometric polynomials von Bach, Francis, Rudi, Alessandro

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PSD Representations for Effective Probability Models von Rudi, Alessandro, Ciliberto, Carlo

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Learning Controlled Stochastic Differential Equations von Brogat-Motte, Luc, Bonalli, Riccardo, Rudi, Alessandro

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