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Machine learning based on Hawkes processes and stochastic optimization

Martin Bompaire
Other Statistics [stat.ML]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLX030⟩
Theses tel-02316143v1
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Combining supervised deep learning and scientific computing : some contributions and application to computational fluid dynamics

Paul Novello
Other Statistics [stat.ML]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAX005⟩
Theses tel-03710472v1
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On the Error Exponent of a Random Tensor with Orthonormal Factor Matrices

Remy Boyer , Frank Nielsen
3rd conference on Geometric Science of Information (GSI 2017), Nov 2017, Paris, France
Conference papers hal-01562329v1
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Systematic and multifactor risk models revisited

Michel Fliess , Cédric Join
First Paris Financial Management Conference, Dec 2013, Paris, France. http://khuongnguyen.free.fr/PFMC-2013/Program_Papers.pdf
Conference papers hal-00920175v1

Infinite-Task Learning with Vector-Valued RKHSs

Romain Brault , Alex Lambert , Zoltan Szabo , Maxime Sangnier , Florence d'Alché-Buc
2018
Preprints, Working Papers, ... hal-01800203v1
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Computational Information Geometry for Binary Classification of High-Dimensional Random Tensors

Gia-Thuy Pham , Remy Boyer , Frank Nielsen
Entropy, 2018, 20 (3), pp.203. ⟨10.3390/e20030203⟩
Journal articles hal-01758637v1
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A Linear-Time Kernel Goodness-of-Fit Test

Wittawat Jitkrittum , Wenkai Xu , Zoltán Szabó , Kenji Fukumizu , Arthur Gretton
31st Conference on Neural Information Processing Systems (NIPS 2017),, Dec 2017, Long Beach, United States
Conference papers hal-01527717v2
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Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames

Geneviève Robin , Hoi-To Wai , Julie Josse , Olga Klopp , Éric Moulines
32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Dec 2018, Montréal, Canada
Conference papers hal-01959188v2
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Seasonalities and cycles in time series: A fresh look with computer experiments

Michel Fliess , Cédric Join
Paris Financial Management Conference, PFMC 2015, Dec 2015, Paris, France
Conference papers hal-01208171v1
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Sharp Oracle Inequalities for Aggregation of Affine Estimators

Arnak S. Dalalyan , Joseph Salmon
Annals of Statistics, 2012, 40 (4), pp.2327-2355. ⟨10.1214/12-AOS1038⟩
Journal articles hal-00587225v3

GANs for Biological Image Synthesis

Anton Osokin , Anatole Chessel , Rafael E. Carazo Salas , Federico Vaggi
ICCV 2017 - IEEE International Conference on Computer Vision, Oct 2017, Venice, Italy
Conference papers hal-01611692v1
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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
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The promises and pitfalls of Stochastic Gradient Langevin Dynamics

Nicolas Brosse , Alain Durmus , Éric Moulines
NeurIPS 2018 (Advances in Neural Information Processing Systems 2018), Dec 2018, Montreal, France
Conference papers hal-01934291v1
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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
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Book Reviews, Summer 2013

Christian Robert
2013
Reports hal-00780471v1

In praise of the referee

Nicolas Chopin , Andrew Gelman , Kerrie L. Mengersen , Christian Robert
ISBA Bulletin, 2013, 20 (1), pp.13-19
Journal articles hal-00704798v1
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Diffusion approximations and control variates for MCMC

Nicolas Brosse , Alain Durmus , Sean Meyn , Éric Moulines
2018
Preprints, Working Papers, ... hal-01934316v1
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Learning Multimodal Digital Models of Disease Progression from Longitudinal Data : Methods & Algorithms for the Description, Prediction and Simulation of Alzheimer’s Disease Progression

Igor Koval
Other Statistics [stat.ML]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAX008⟩
Theses tel-02524279v1
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Characteristic and Universal Tensor Product Kernels

Zoltán Szabó , Bharath K Sriperumbudur
Journal of Machine Learning Research, 2018, 18, pp.233
Journal articles hal-01585727v3
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NeuMiss networks: differentiable programming for supervised learning with missing values

Marine Le Morvan , Julie Josse , Thomas Moreau , Erwan Scornet , Gaël Varoquaux
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada
Conference papers hal-02888867v3
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Linear predictor on linearly-generated data with missing values: non consistency and solutions

Marine Le Morvan , Nicolas Prost , Julie Josse , Erwan Scornet , Gaël Varoquaux
AISTATS 2020 - International Conference on Artificial Intelligence and Statistics, Aug 2020, Online, France. pp.3165-3174
Conference papers hal-02464569v2
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MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means

Matthieu Lerasle , Zoltán Szabó , Timothée Mathieu , Guillaume Lecué
ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States
Conference papers hal-01705881v5
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Handling Hard Affine SDP Shape Constraints in RKHSs

Pierre-Cyril Aubin-Frankowski , Zoltán Szabó
[Research Report] MINES ParisTech; Ecole Polytechnique. 2021
Reports hal-03098495v1
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Dynamic Lip Animation from a Limited number of Control Points: Towards an Effective Audiovisual Spoken Communication

Slim Ouni , Guillaume Gris
Speech Communication, 2018, 96, pp.49-57. ⟨10.1016/j.specom.2017.11.006⟩
Journal articles hal-01631397v1
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What's a good imputation to predict with missing values?

Marine Le Morvan , Julie Josse , Erwan Scornet , Gaël Varoquaux
NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Virtual, France
Conference papers hal-03243931v2
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On-ground risk estimation of reentering human-made space objects

Francois Sanson
Other Statistics [stat.ML]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLX035⟩
Theses tel-02615069v2
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Some contributions to decision-making problems

Frédéric Logé
Other Statistics [stat.ML]. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAX002⟩
Theses tel-03283738v1
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Benchmarking of Two Implementations of CMA-ES with Diagonal Decoding on the bbob Test Suite

Mohamed Gharafi
GECCO 2022 Companion - The Genetic and Evolutionary Computation Conference, Jul 2022, Boston, United States. pp.1700-1707, ⟨10.1145/3520304.3534011⟩
Conference papers hal-03671431v1
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Convergence Analysis of Riemannian Stochastic Approximation Schemes

Alain Durmus , Pablo Jiménez , Eric Moulines , Salem Said , Hoi-To Wai
2020
Preprints, Working Papers, ... hal-02626383v2