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Now showing items 1-20 of 44
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A correspondence between zeros of time-frequency transforms and Gaussian analytic functions
13th International Conference on Sampling Theory and Applications, SampTA 2019, Bordeaux, 08-08-2019Autre communication scientifique (congrès sans actes - poster - séminaire...)fulltext -
A correspondence between zeros of time-frequency transforms and Gaussian analytic functions
13th International Conference on Sampling Theory and Applications, SampTA 2019, Bordeaux, 08-08-2019Autre communication scientifique (congrès sans actes - poster - séminaire...)fulltext -
A determinantal point process for column subset selection
Journal of Machine Learning Research, Microtome Publishing, 2020, 21; 197, 1-62Compte-rendu et recension critique d'ouvragefulltext -
A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption
Algorithmic Learning Theory, Chicago, 2019Communication dans un congrès avec actesfulltext -
A systematic strategy for estimating hERG block potency and its implications in a new cardiac safety paradigm
Toxicology and applied pharmacology, Elsevier, 05-2020, 394, 114961Compte-rendu et recension critique d'ouvragefulltext -
Adaptive black-box optimization got easier: HCT only needs local smoothness
European Workshop on Reinforcement Learning, Lille, 01-10-2018, 2018Autre communication scientifique (congrès sans actes - poster - séminaire...)fulltext -
Analysis of Nyström method with sequential ridge leverage score sampling
Uncertainty in Artificial Intelligence, New York City, 25-06-2016Communication dans un congrès avec actesfulltext -
Best of both worlds: Stochastic & adversarial best-arm identification
Conference on Learning Theory, Stockholm, 2018Communication dans un congrès avec actesfulltext -
Best of both worlds: Stochastic & adversarial best-arm identification
Conference on Learning Theory, Stockholm, 2018Communication dans un congrès avec actesfulltext -
Best of both worlds: Stochastic & adversarial best-arm identification
Conference on Learning Theory, Stockholm, 2018Communication dans un congrès avec actesfulltext -
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning
Neural Information Processing Systems, Barcelona, 05-12-2016Communication dans un congrès avec actesfulltext -
Compressing the Input for CNNs with the First-Order Scattering Transform
ECCV 2018 - European Conference on Computer Vision, Munich, 08-09-2018Communication dans un congrès avec actesfulltext -
Distributed adaptive sampling for kernel matrix approximation
International Conference on Artificial Intelligence and Statistics, Fort Lauderdale, 2017Communication dans un congrès avec actesfulltext -
DLR equations and rigidity for the Sine-beta process
Communications on Pure and Applied Mathematics, Wiley, 18-11-2020Compte-rendu et recension critique d'ouvragefulltext -
DPPy: Sampling Determinantal Point Processes with Python
Journal of Machine Learning Research, Microtome Publishing, 2019Compte-rendu et recension critique d'ouvragefulltext -
Efficient second-order online kernel learning with adaptive embedding
Neural Information Processing Systems, Long Beach, 2017Communication dans un congrès avec actesfulltext -
Energy of the Coulomb Gas on the Sphere at Low Temperature
Archive for Rational Mechanics and Analysis, Springer Verlag, 01-10-2018Compte-rendu et recension critique d'ouvragefulltext -
Fast sampling from beta-ensembles
Statistics and Computing, Springer Verlag (Germany), 12-01-2021, 31; 7Compte-rendu et recension critique d'ouvragefulltext -
From random matrices to Monte Carlo integration via Gaussian quadrature
IEEE Statistical Signal processing workshop, Freiburg, 2018Autre communication scientifique (congrès sans actes - poster - séminaire...)fulltext -
From random matrices to Monte Carlo integration via Gaussian quadrature
IEEE Statistical Signal processing workshop, Freiburg, 2018Autre communication scientifique (congrès sans actes - poster - séminaire...)fulltext