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A Universal Approximation Result for Difference of log-sum-exp Neural Networks2019
Preprints, Working Papers, ...
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Differentially Private Federated Learning on Heterogeneous DataProceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022, Virtual, Spain
Conference papers
hal-03905078v1
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Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic FunctionsTheoretical Computer Science, 2020, 832, pp.42-67. ⟨10.1016/j.tcs.2018.05.015⟩
Journal articles
hal-01662568v1
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An Adaptive Test of Independence with Analytic Kernel EmbeddingsInternational Conference on Machine Learning (ICML), Aug 2017, Sydney, Australia. pp.1742-1751
Conference papers
hal-01385111v2
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Hard Shape-Constrained Kernel MachinesAdvances in Neural Information Processing Systems (NeurIPS-2020), Dec 2020, Vancouver (Virtual), Canada
Conference papers
hal-02625276v2
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Analyzing the tree-layer structure of Deep ForestsInternational Conference on Machine Learning (ICML), Jul 2021, online, France
Conference papers
hal-02974199v4
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Contributions à l'apprentissage statistique : estimation de densité, agrégation d'experts et forêts aléatoiresStatistiques [math.ST]. Institut Polytechnique de Paris, 2020. Français. ⟨NNT : 2020IPPAX014⟩
Theses
tel-02918549v1
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Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergenceStatistics and Computing, In press, 31 (48), ⟨10.1007/s11222-021-10023-9⟩
Journal articles
hal-02617725v2
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Best $k$-layer neural network approximationsConstructive Approximation, 2021
Journal articles
hal-03088287v1
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Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning2023
Preprints, Working Papers, ...
hal-03979922v1
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QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated LearningInternational Conference on Artificial Intelligence and Statistics, 2022, Online, France
Conference papers
hal-03589952v1
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A SIGEVO impact award for a paper arising from the COCO platformACM SIGEVOlution, 2021, 13 (4), pp.1-11. ⟨10.1145/3447929.3447930⟩
Journal articles
hal-03132960v1
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On Kernel Derivative Approximation with Random Fourier FeaturesInternational Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Japan
Conference papers
hal-01897996v3
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Wasserstein Adversarial Regularization for learning with label noiseIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp.1-1. ⟨10.1109/TPAMI.2021.3094662⟩
Journal articles
hal-03371478v1
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An anti-diffusive scheme for viability problemsApplied Numerical Mathematics, 2006, 56 (9), pp.1147-1162
Journal articles
hal-00112062v2
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Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample pathConference On Learning Theory, Jun 2006, Pittsburgh, USA
Conference papers
inria-00117130v1
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Diagonal Acceleration for Covariance Matrix Adaptation Evolution StrategiesEvolutionary Computation, 2020, 28 (3), pp.405-435. ⟨10.1162/evco_a_00260⟩
Journal articles
hal-01995373v2
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Unbalanced minibatch Optimal Transport; applications to Domain AdaptationInternational Conference in machine Learning, Jul 2021, online, France
Conference papers
hal-03264020v1
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Unsupervised Scalable Representation Learning for Multivariate Time SeriesHanna Wallach; Hugo Larochelle; Alina Beygelzimer; Florence d'Alché-Buc; Emily Fox; Roman Garnett. Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. Curran Associates, Inc., 32, Advances in Neural Information Processing Systems
Conference poster
hal-02320167v2
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CMA-ES and advanced adaptation mechanismsGECCO 2021 - Genetic and Evolutionary Computation Conference Companion, 2021, pp.636-663. ⟨10.1145/3449726.3462748⟩
Other publications
hal-03539115v1
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Anytime Performance Assessment in Blackbox Optimization BenchmarkingIEEE Transactions on Evolutionary Computation, 2022, 26 (6), pp.1293--1305. ⟨10.1109/TEVC.2022.3210897⟩
Journal articles
hal-03814997v2
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Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient EstimationJournal of Machine Learning Research, 2006, 7, pp.413-427
Journal articles
inria-00117153v1
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A Global Surrogate Assisted CMA-ESGECCO 2019 - The Genetic and Evolutionary Computation Conference, ACM, Jul 2019, Prague, Czech Republic. pp.664-672, ⟨10.1145/3321707.3321842⟩
Conference papers
hal-02143961v1
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A Linear-Time Kernel Goodness-of-Fit Test31st Conference on Neural Information Processing Systems (NIPS 2017),, Dec 2017, Long Beach, United States
Conference papers
hal-01527717v2
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Infinitely many-armed banditsAdvances in Neural Information Processing Systems, 2008, Canada
Conference papers
hal-00830178v1
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Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic FunctionsProceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA, Jan 2017, Copenhagen, Denmark. pp.111-126, ⟨10.1145/3040718.3040720⟩
Conference papers
hal-01516326v1
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A Practical Guide to Experimentation (and Benchmarking)GECCO '18 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan
Documents associated with scientific events
hal-01959453v1
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CMA-ES and Advanced Adaptation MechanismsGECCO '18 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan
Documents associated with scientific events
hal-01959479v1
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COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite2019
Preprints, Working Papers, ...
hal-02068407v2
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Quantification d'incertitude pour l'Approximation StochastiqueActes de Conférence du Colloque GRETSI 2019, 2019
Journal articles
hal-02415192v1
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