Search - Département de mathématiques appliquées Access content directly

Filter your results

80 Results
Domains : info.info-lg

A Universal Approximation Result for Difference of log-sum-exp Neural Networks

Giuseppe Carlo Calafiore , Stéphane Gaubert , Corrado Possieri
2019
Preprints, Working Papers, ... hal-02423871v1
Image document

Differentially Private Federated Learning on Heterogeneous Data

Maxence Noble , Aurélien Bellet , Aymeric Dieuleveut
Proceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022, Virtual, Spain
Conference papers hal-03905078v1
Image document

Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions

Youhei Akimoto , Anne Auger , Nikolaus Hansen
Theoretical Computer Science, 2020, 832, pp.42-67. ⟨10.1016/j.tcs.2018.05.015⟩
Journal articles hal-01662568v1
Image document

An Adaptive Test of Independence with Analytic Kernel Embeddings

Wittawat Jitkrittum , Zoltán Szabó , Arthur Gretton
International Conference on Machine Learning (ICML), Aug 2017, Sydney, Australia. pp.1742-1751
Conference papers hal-01385111v2
Image document

Hard Shape-Constrained Kernel Machines

Pierre-Cyril Aubin-Frankowski , Zoltán Szabó
Advances in Neural Information Processing Systems (NeurIPS-2020), Dec 2020, Vancouver (Virtual), Canada
Conference papers hal-02625276v2
Image document

Analyzing the tree-layer structure of Deep Forests

Ludovic Arnould , Claire Boyer , Erwan Scornet , Sorbonne Lpsm
International Conference on Machine Learning (ICML), Jul 2021, online, France
Conference papers hal-02974199v4
Image document

Contributions à l'apprentissage statistique : estimation de densité, agrégation d'experts et forêts aléatoires

Jaouad Mourtada
Statistiques [math.ST]. Institut Polytechnique de Paris, 2020. Français. ⟨NNT : 2020IPPAX014⟩
Theses tel-02918549v1
Image document

Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence

Gersende Fort , Pierre Gach , Eric Moulines
Statistics and Computing, In press, 31 (48), ⟨10.1007/s11222-021-10023-9⟩
Journal articles hal-02617725v2
Image document

Best $k$-layer neural network approximations

Lek-Heng Lim , Mateusz Michalek , Yang Qi
Constructive Approximation, 2021
Journal articles hal-03088287v1
Image document

Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning

Aymeric Dieuleveut , Gersende Fort , Eric Moulines , Hoi-To Wai
2023
Preprints, Working Papers, ... hal-03979922v1
Image document

QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning

Maxime Vono , Vincent Plassier , Alain Durmus , Aymeric Dieuleveut , Eric Moulines et al.
International Conference on Artificial Intelligence and Statistics, 2022, Online, France
Conference papers hal-03589952v1

A SIGEVO impact award for a paper arising from the COCO platform

Anne Auger , Nikolaus Hansen
ACM SIGEVOlution, 2021, 13 (4), pp.1-11. ⟨10.1145/3447929.3447930⟩
Journal articles hal-03132960v1
Image document

On Kernel Derivative Approximation with Random Fourier Features

Zoltán Szabó , Bharath K Sriperumbudur
International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Japan
Conference papers hal-01897996v3

Wasserstein Adversarial Regularization for learning with label noise

Kilian Fatras , Bharath Bhushan Damodaran , Sylvain Lobry , Remi Flamary , Devis Tuia et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp.1-1. ⟨10.1109/TPAMI.2021.3094662⟩
Journal articles hal-03371478v1
Image document

An anti-diffusive scheme for viability problems

Olivier Bokanowski , Sophie Martin , Rémi Munos , Hasnaa Zidani
Applied Numerical Mathematics, 2006, 56 (9), pp.1147-1162
Journal articles hal-00112062v2
Image document

Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path

Andras Antos , Csaba Szepesvari , Rémi Munos
Conference On Learning Theory, Jun 2006, Pittsburgh, USA
Conference papers inria-00117130v1
Image document

Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies

Youhei Akimoto , Nikolaus Hansen
Evolutionary Computation, 2020, 28 (3), pp.405-435. ⟨10.1162/evco_a_00260⟩
Journal articles hal-01995373v2

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation

Kilian Fatras , Thibault Séjourné , Nicolas Courty , Rémi Flamary
International Conference in machine Learning, Jul 2021, online, France
Conference papers hal-03264020v1
Image document

Unsupervised Scalable Representation Learning for Multivariate Time Series

Jean-Yves Franceschi , Aymeric Dieuleveut , Martin Jaggi
Hanna 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
Image document

CMA-ES and advanced adaptation mechanisms

Youhei Akimoto , Nikolaus Hansen
GECCO 2021 - Genetic and Evolutionary Computation Conference Companion, 2021, pp.636-663. ⟨10.1145/3449726.3462748⟩
Other publications hal-03539115v1
Image document

Anytime Performance Assessment in Blackbox Optimization Benchmarking

Nikolaus Hansen , Anne Auger , Dimo Brockhoff , Tea Tusar
IEEE Transactions on Evolutionary Computation, 2022, 26 (6), pp.1293--1305. ⟨10.1109/TEVC.2022.3210897⟩
Journal articles hal-03814997v2
Image document

Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation

Rémi Munos
Journal of Machine Learning Research, 2006, 7, pp.413-427
Journal articles inria-00117153v1
Image document

A Global Surrogate Assisted CMA-ES

Nikolaus Hansen
GECCO 2019 - The Genetic and Evolutionary Computation Conference, ACM, Jul 2019, Prague, Czech Republic. pp.664-672, ⟨10.1145/3321707.3321842⟩
Conference papers hal-02143961v1
Image document

A Linear-Time Kernel Goodness-of-Fit Test

Wittawat Jitkrittum , Wenkai Xu , Zoltán Szabó , Kenji Fukumizu , Arthur Gretton et al.
31st Conference on Neural Information Processing Systems (NIPS 2017),, Dec 2017, Long Beach, United States
Conference papers hal-01527717v2
Image document

Infinitely many-armed bandits

Yizao Wang , Jean-Yves Audibert , Rémi Munos
Advances in Neural Information Processing Systems, 2008, Canada
Conference papers hal-00830178v1
Image document

Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions

Youhei Akimoto , Anne Auger , Nikolaus Hansen
Proceedings 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
Image document

A Practical Guide to Experimentation (and Benchmarking)

Nikolaus Hansen
GECCO '18 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan
Documents associated with scientific events hal-01959453v1
Image document

CMA-ES and Advanced Adaptation Mechanisms

Youhei Akimoto , Nikolaus Hansen
GECCO '18 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan
Documents associated with scientific events hal-01959479v1
Image document

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite

Ouassim Ait Elhara , Konstantinos Varelas , Duc Hung Nguyen , Tea Tušar , Dimo Brockhoff et al.
2019
Preprints, Working Papers, ... hal-02068407v2
Image document

Quantification d'incertitude pour l'Approximation Stochastique

Stéphane Crépey , Gersende Fort , Emmanuel Gobet , Uladzislau Stazhynski
Actes de Conférence du Colloque GRETSI 2019, 2019
Journal articles hal-02415192v1