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Online Selection of Diverse Committees


May 19, 2021
Virginie Do, Jamal Atif, JĂ©rĂ´me Lang, Nicolas Usunier

* IJCAI 2021 

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Online certification of preference-based fairness for personalized recommender systems


Apr 29, 2021
Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier


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On the robustness of randomized classifiers to adversarial examples


Feb 22, 2021
Rafael Pinot, Laurent Meunier, Florian Yger, CĂ©dric Gouy-Pailler, Yann Chevaleyre, Jamal Atif


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Mixed Nash Equilibria in the Adversarial Examples Game


Feb 13, 2021
Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre


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AAMDRL: Augmented Asset Management with Deep Reinforcement Learning


Sep 30, 2020
Eric Benhamou, David Saltiel, Sandrine Ungari, Abhishek Mukhopadhyay, Jamal Atif

* 9 pages, 7 figures. arXiv admin note: substantial text overlap with arXiv:2009.14136 

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Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning


Sep 07, 2020
Eric Benhamou, David Saltiel, Jean-Jacques Ohana, Jamal Atif


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Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization


Jun 15, 2020
Alexandre Araujo, Benjamin Negrevergne, Yann Chevaleyre, Jamal Atif


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Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation


Jun 12, 2020
Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi


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Estimating Individual Treatment Effects through Causal Populations Identification


May 06, 2020
Céline Beji, Michaël Bon, Florian Yger, Jamal Atif

* Accepted (to appear) in ESANN 2020 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 2-4 October 2020 

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Randomization matters. How to defend against strong adversarial attacks


Feb 26, 2020
Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif


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Yet another but more efficient black-box adversarial attack: tiling and evolution strategies


Oct 05, 2019
Laurent Meunier, Jamal Atif, Olivier Teytaud


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A unified view on differential privacy and robustness to adversarial examples


Jun 19, 2019
Rafael Pinot, Florian Yger, CĂ©dric Gouy-Pailler, Jamal Atif


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NGO-GM: Natural Gradient Optimization for Graphical Models


May 14, 2019
Eric Benhamou, Jamal Atif, Rida Laraki, David Saltiel

* 18 pages, 9 figures 

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Robust Neural Networks using Randomized Adversarial Training


Mar 25, 2019
Alexandre Araujo, Rafael Pinot, Benjamin Negrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif


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Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family


Feb 04, 2019
Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, CĂ©dric Gouy-Pailler, Jamal Atif


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On the Expressive Power of Deep Fully Circulant Neural Networks


Jan 29, 2019
Alexandre Araujo, Benjamin Negrevergne, Yann Chevaleyre, Jamal Atif


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A discrete version of CMA-ES


Dec 27, 2018
Eric Benhamou, Jamal Atif, Rida Laraki, Anne Auger

* 13 pages. arXiv admin note: text overlap with arXiv:1811.11618 

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Training compact deep learning models for video classification using circulant matrices


Oct 08, 2018
Alexandre Araujo, Benjamin Negrevergne, Yann Chevaleyre, Jamal Atif

* The 2nd Workshop on YouTube-8M Large-Scale Video Understanding, ECCV 2018 

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Uplift Modeling from Separate Labels


Oct 01, 2018
Ikko Yamane, Florian Yger, Jamal Atif, Masashi Sugiyama

* 17 pages, 7 figures 

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Graph sketching-based Space-efficient Data Clustering


May 27, 2018
Anne Morvan, Krzysztof Choromanski, CĂ©dric Gouy-Pailler, Jamal Atif

* Proceedings of the 2018 SIAM International Conference on Data Mining 

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Graph-based Clustering under Differential Privacy


Mar 10, 2018
Rafael Pinot, Anne Morvan, Florian Yger, CĂ©dric Gouy-Pailler, Jamal Atif


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Explanatory relations in arbitrary logics based on satisfaction systems, cutting and retraction


Mar 05, 2018
Marc Aiguier, Jamal Atif, Isabelle Bloch, RamĂłn Pino-PĂ©rez

* 30 pages 

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On the Needs for Rotations in Hypercubic Quantization Hashing


Feb 12, 2018
Anne Morvan, Antoine Souloumiac, Krzysztof Choromanski, CĂ©dric Gouy-Pailler, Jamal Atif


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Streaming Binary Sketching based on Subspace Tracking and Diagonal Uniformization


Feb 08, 2018
Anne Morvan, Antoine Souloumiac, CĂ©dric Gouy-Pailler, Jamal Atif


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Belief Revision, Minimal Change and Relaxation: A General Framework based on Satisfaction Systems, and Applications to Description Logics


Jan 13, 2017
Marc Aiguier, Jamal Atif, Isabelle Bloch, CĂ©line Hudelot


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Structured adaptive and random spinners for fast machine learning computations


Nov 26, 2016
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cedric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamas Sarlos, Jamal Atif

* arXiv admin note: substantial text overlap with arXiv:1605.09046 

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Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations


Sep 29, 2016
Yoann Isaac, Quentin Barthélemy, Cédric Gouy-Pailler, Michèle Sebag, Jamal Atif


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TripleSpin - a generic compact paradigm for fast machine learning computations


Jun 06, 2016
Krzysztof Choromanski, Francois Fagan, Cedric Gouy-Pailler, Anne Morvan, Tamas Sarlos, Jamal Atif


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