Alessandro Rudi

Professor of Practice
Knowledge groupEconomics, Politics and Decision Sciences
Research domainsDigital Transformation
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Biography

Recent Publications

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  • 2025
    Finding global minima via kernel approximations
    RUDI, A., U. MARTEAU-FEREY, F. BACH, "Finding global minima via kernel approximations", Mathematical Programming, 2025, vol. 209, pp. 703-784
  • 2024
    Optimal Estimation of Smooth Transport Maps with Kernel SoS
    VACHER, A., B. MUZELLEC, F. BACH, F.-X. VIALARD, A. RUDI, "Optimal Estimation of Smooth Transport Maps with Kernel SoS", SIAM Journal on Mathematics of Data Science, 2024, vol. 6, no. 2, pp. 311-342
  • 2024
    Approximation of optimization problems with constraints through kernel Sum-of-Squares
    AUBIN-FRANKOWSKI, P.-C., A. RUDI, "Approximation of optimization problems with constraints through kernel Sum-of-Squares", Optimization, 2024, pp. 1-26
  • 2024
    Second Order Conditions to Decompose Smooth Functions as Sums of Squares
    MARTEAU-FEREY, U., F. BACH, A. RUDI, "Second Order Conditions to Decompose Smooth Functions as Sums of Squares", Siam Journal on Optimization, 2024, vol. 34, no. 1, pp. 616-641
  • 2023
    Exponential Convergence of Sum-of-Squares Hierarchies for Trigonometric Polynomials
    BACH, F., A. RUDI, "Exponential Convergence of Sum-of-Squares Hierarchies for Trigonometric Polynomials", Siam Journal on Optimization, 2023, vol. 33, no. 3, pp. 2137-2159
  • 2023
    Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models
    RAJ, A., U. SIMSEKLI, A. RUDI, "Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models" in Advances in Neural Information Processing Systems 36 (NeurIPS 2023) -the Thirty-Seventh Annual Conference on Neural Information Processing Systems - December 10-16, 2023, New Orléans, United States of America
  • 2023
    GloptiNets: Scalable Non-Convex Optimization with Certificates
    BEUGNOT, G., J. MAIRAL, A. RUDI, "GloptiNets: Scalable Non-Convex Optimization with Certificates" in Advances in Neural Information Processing Systems 36 (NeurIPS 2023) -the Thirty-Seventh Annual Conference on Neural Information Processing Systems - December 10-16, 2023, New Orléans, United States of America
  • 2022
    Vector-Valued Least-Squares Regression under Output Regularity Assumptions
    BROGAT-MOTTE, L., A. RUDI, C. BROUARD, J. ROUSU, F. D'ALCHÉ-BUC, "Vector-Valued Least-Squares Regression under Output Regularity Assumptions", Journal of Machine Learning Research, 2022, vol. 23, no. 344, pp. 1-50
  • 2022
    Sampling from Arbitrary Functions via PSD Models
    MARTEAU-FEREY, U., F. BACH, A. RUDI, "Sampling from Arbitrary Functions via PSD Models" in Proceedings of Machine Learning Research, Volume 151: International Conference on Artificial Intelligence and Statistics, A Virtual Conference - March 28-30, 2022
  • 2022
    On the Consistency of Max-Margin Losses
    NOWAK-VILA, A., A. RUDI, F. BACH, "On the Consistency of Max-Margin Losses" in Proceedings of Machine Learning Research, Volume 151: International Conference on Artificial Intelligence and Statistics, A Virtual Conference - March 28-30, 2022

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