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hal-02340371v1  Conference papers
François-Pierre PatyAlexandre d'AspremontMarco Cuturi. Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport
AISTATS 2020 - 23rd International Conference on Artificial Intelligence and Statistics, Jun 2020, Palermo / Virtual, Italy
hal-01769773v1  Conference papers
Anil GoyalEmilie MorvantPascal GermainMassih-Reza Amini. PAC-Bayesian Analysis for a two-step Hierarchical Mutliview Learning Approach
27th European Conference on Machine Learning , Jul 2017, Skpoje, Macedonia
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hal-01546109v1  Conference papers
Anil GoyalEmilie MorvantPascal GermainMassih-Reza Amini. PAC-Bayesian Analysis for a two-step Hierarchical Multiview Learning Approach
European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Sep 2017, Skopje, Macedonia
hal-02340372v1  Journal articles
Alexandre d'AspremontMihai CucuringuHemant Tyagi. Ranking and synchronization from pairwise measurements via SVD
Journal of Machine Learning Research, Microtome Publishing, 2021, 22 (19), pp.1-63
hal-01329763v1  Conference papers
Anil GoyalEmilie MorvantPascal GermainMassih-Reza Amini. Théorèmes PAC-Bayésiens pour l'apprentissage multi-vues
Conférence Francophone sur l'Apprentissage Automatique (CAp), Jul 2016, Marseille, France
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hal-02884330v1  Conference papers
Rémy DegennePierre MénardXuedong ShangMichal Valko. Gamification of pure exploration for linear bandits
International Conference on Machine Learning, 2020, Vienna / Virtual, Austria
hal-03132940v1  Conference papers
Ondřej CífkaAlexey OzerovUmut ŞimşekliGael Richard. Self-Supervised VQ-VAE for One-Shot Music Style Transfer
ICASSP 2021 - IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Toronto / Virtual, Canada. ⟨10.1109/ICASSP39728.2021.9414235⟩
hal-01529219v1  Conference papers
Anil GoyalEmilie MorvantPascal Germain. Une borne PAC-Bayésienne en espérance et son extension à l'apprentissage multivues
Conférence Francophone sur l'Apprentissage Automatique (CAp), Jun 2017, Grenoble, France
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hal-01416704v2  Journal articles
Damien GarreauSylvain Arlot. Consistent change-point detection with kernels
Electronic Journal of Statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2018, 12 (2), pp.4440-4486
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hal-01388498v2  Journal articles
Dmitry BabichevFrancis Bach. Slice inverse regression with score functions
Electronic Journal of Statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2018, Volume 12, Number 1 (2018), pp.1507-1543. ⟨10.1214/18-EJS1428⟩
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hal-01884632v4  Conference papers
Alberto BiettiGrégoire MialonDexiong ChenJulien Mairal. A Kernel Perspective for Regularizing Deep Neural Networks
ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.664-674
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tel-03059605v3  Theses
Margaux Brégère. Stochastic bandit algorithms for demand side management
Statistics [math.ST]. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASM022⟩
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tel-01984368v1  Theses
Antoine Recanati. Relaxations of the Seriation problem and applications to de novo genome assembly
Computer Science [cs]. PSL Research University, 2018. English
hal-01927391v1  Conference papers
Thomas KerdreuxFabian PedregosaAlexandre d'Aspremont. Frank-Wolfe with Subsampling Oracle
ICML 2018 - 35th International Conference on Machine Learning, Jul 2018, Stockholm, Sweden
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hal-01958879v1  Conference papers
Alessandro RudiDaniele CalandrielloLuigi CarratinoLorenzo Rosasco. On Fast Leverage Score Sampling and Optimal Learning
NeurIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Dec 2018, Montreal, Canada. pp.5677--5687
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tel-01885412v1  Theses
Jean-Baptiste Alayrac. Structured Learning from Videos and Language
Computer Vision and Pattern Recognition [cs.CV]. Ecole normale supérieure - ENS PARIS, 2018. English
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hal-01950555v1  Conference papers
Rémi LeblondJean-Baptiste AlayracAnton OsokinSimon Lacoste-Julien. SeaRNN: Training RNNs with Global-Local Losses
ICLR 2018 : 6th International Conference on Learning Representations, Apr 2018, Vancouver, Canada
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tel-02433016v2  Theses
Dmitry Babichev. On efficient methods for high-dimensional statistical estimation
Machine Learning [stat.ML]. PSL Research University, 2019. English. ⟨NNT : 2019PSLEE032⟩
hal-02470997v1  Conference papers
Mathieu BarréAdrien TaylorAlexandre d'Aspremont. Complexity Guarantees for Polyak Steps with Momentum
COLT 2020 - 33rd Annual Conference on Learning Theory, Jul 2020, Graz / Virtual, Austria
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hal-01899949v1  Conference papers
Alexandre DéfossezNeil ZeghidourNicolas UsunierLéon BottouFrancis Bach. SING: Symbol-to-Instrument Neural Generator
Conference on Neural Information Processing Systems (NIPS), Dec 2018, Montréal, Canada
hal-01893922v1  Conference papers
Thomas KerdreuxAlexandre d'AspremontSebastian Pokutta. Restarting Frank-Wolfe
AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Japan
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hal-02956361v1  Journal articles
Ernest RyuAdrien TaylorCarolina BergelingPontus Giselsson. Operator Splitting Performance Estimation: Tight Contraction Factors and Optimal Parameter Selection
SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2020, 30 (3), pp.2251-2271. ⟨10.1137/19M1304854⟩