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  • 1234
    Citations
20032025

Research activity per year

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Dive into the research topics where Jamal Atif is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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  • Comparing Deep RL and Traditional Financial Portfolio Methods

    Benhamou, E., Ohana, J. J., Guez, B., Saltiel, D., Laraki, R. & Atif, J., 1 Jan 2025, Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2023, Revised Selected Papers. Meo, R. & Silvestri, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 323-338 16 p. (Communications in Computer and Information Science; vol. 2137 CCIS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)
  • Differentially Private Gradient Flow based on the Sliced Wasserstein Distance

    Sebag, I., Pydi, M. S., Franceschi, J. Y., Rakotomamonjy, A., Gartrell, M., Atif, J. & Allauzen, A., 1 Jan 2025, In: Transactions on Machine Learning Research. 2025-January, p. 1-25 25 p.

    Research output: Contribution to journalArticlepeer-review

  • Optimal Classification under Performative Distribution Shift

    Cyffers, E., Pydi, M. S., Atif, J. & Cappé, O., 1 Jan 2024, In: Advances in Neural Information Processing Systems. 37

    Research output: Contribution to journalConference articlepeer-review

    2 Citations (Scopus)
  • FSDA: Tackling Tail-Event Analysis in Imbalanced Time Series Data with Feature Selection and Data Augmentation

    Krief, R., Benhamou, E., Guez, B., Ohana, J. J., Saltiel, D., Laraki, R. & Atif, J., 1 Jan 2023, In: Proceedings of Machine Learning Research. 241, p. 45-58 14 p.

    Research output: Contribution to journalConference articlepeer-review

  • Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract)

    Do, V., Corbett-Davies, S., Atif, J. & Usunier, N., 1 Jan 2023, Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. Elkind, E. (ed.). International Joint Conferences on Artificial Intelligence, p. 6426-6430 5 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Online Certification of Preference-Based Fairness for Personalized Recommender Systems

    Do, V., Corbett-Davies, S., Atif, J. & Usunier, N., 30 Jun 2022, AAAI-22 Technical Tracks 6. Association for the Advancement of Artificial Intelligence, p. 6532-6540 9 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    27 Citations (Scopus)
  • On the robustness of randomized classifiers to adversarial examples

    Pinot, R., Meunier, L., Yger, F., Gouy-Pailler, C., Chevaleyre, Y. & Atif, J., 1 Jan 2022, (Accepted/In press) In: Machine Learning.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    8 Citations (Scopus)
  • Towards Consistency in Adversarial Classification

    Meunier, L., Ettedgui, R., Pinot, R., Chevaleyre, Y. & Atif, J., 1 Jan 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    10 Citations (Scopus)
  • Deep Reinforcement Learning (DRL) for Portfolio Allocation

    Benhamou, E., Saltiel, D., Ohana, J. J., Atif, J. & Laraki, R., 1 Jan 2021, Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings. Dong, Y., Mladenic, D. & Saunders, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 527-531 5 p. (Lecture Notes in Computer Science; vol. 12461 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    14 Citations (Scopus)
  • Equitable and Optimal Transport with Multiple Agents

    Scetbon, M., Meunier, L., Atif, J. & Cuturi, M., 1 Jan 2021, In: Proceedings of Machine Learning Research. 130, p. 2035-2043 9 p.

    Research output: Contribution to journalConference articlepeer-review

    3 Citations (Scopus)