Atif, Jamal

20 publications

TMLR 2025 Differentially Private Gradient Flow Based on the Sliced Wasserstein Distance Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen

NeurIPS 2024 Optimal Classification Under Performative Distribution Shift Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Oliver Cappé

IJCAI 2023 Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract) Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier

MLJ 2022 On the Robustness of Randomized Classifiers to Adversarial Examples Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif

AAAI 2022 Online Certification of Preference-Based Fairness for Personalized Recommender Systems Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier

NeurIPS 2022 Towards Consistency in Adversarial Classification Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif

AISTATS 2021 Equitable and Optimal Transport with Multiple Agents Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi

ICML 2021 Mixed Nash Equilibria in the Adversarial Examples Game Laurent Meunier, Meyer Scetbon, Rafael B Pinot, Jamal Atif, Yann Chevaleyre

AAAI 2021 On Lipschitz Regularization of Convolutional Layers Using Toeplitz Matrix Theory Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif

IJCAI 2021 Online Selection of Diverse Committees Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier

NeurIPS 2021 Two-Sided Fairness in Rankings via Lorenz Dominance Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier

ECML-PKDD 2020 Deep Reinforcement Learning (DRL) for Portfolio Allocation Eric Benhamou, David Saltiel, Jean-Jacques Ohana, Jamal Atif, Rida Laraki

ICML 2020 Randomization Matters How to Defend Against Strong Adversarial Attacks Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif

NeurIPS 2019 Theoretical Evidence for Adversarial Robustness Through Randomization Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cedric Gouy-Pailler, Jamal Atif

UAI 2018 Graph-Based Clustering Under Differential Privacy Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif

ECCVW 2018 Training Compact Deep Learning Models for Video Classification Using Circulant Matrices Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif

NeurIPS 2018 Uplift Modeling from Separate Labels Ikko Yamane, Florian Yger, Jamal Atif, Masashi Sugiyama

AISTATS 2017 Structured Adaptive and Random Spinners for Fast Machine Learning Computations Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif

ECCVW 2014 ALC(𝔽): A New Description Logic for Spatial Reasoning in Images Céline Hudelot, Jamal Atif, Isabelle Bloch

IJCAI 2007 From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph Based Representations Jamal Atif, Céline Hudelot, Geoffroy Fouquier, Isabelle Bloch, Elsa D. Angelini