Publications



102 documents

  • Alexandre Araujo, Benjamin Negrevergne, Yann Chevaleyre, Jamal Atif. Training compact deep learning models for video classification using circulant matrices. European Conference on Computer Vision, 2018, pp.271-286. ⟨10.1007/978-3-030-11018-5_25⟩. ⟨hal-02010093⟩
  • Anne Morvan, Krzysztof Choromanski, Cedric Gouy-Pailler, Jamal Atif. Graph sketching-based space-efficient data clustering. SDM 18 - 2018 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, May 2018, San Diego, United States. pp.10-18, ⟨10.1137/1.9781611975321.2⟩. ⟨cea-01838501⟩
  • Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker. A Provable Algorithm for Learning Interpretable Scoring Systems. Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2018, lanzarote, Spain. ⟨hal-03916854⟩
  • Eric Benhamou, Beatrice Guez. Incremental Sharpe and other performance ratios. Journal of Statistical and Econometric Methods, 2018, xx, pp.2241 - 0376. ⟨hal-02012443v2⟩
  • Fabien Labernia, Florian Yger, Brice Mayag, Jamal Atif. Query-based learning of acyclic conditional preference networks from contradictory preferences. EURO journal on decision processes, 2018, 6 (1-2), pp.39-59. ⟨10.1007/s40070-017-0070-3⟩. ⟨hal-02074081⟩
  • Fabien Labernia, Bruno Zanuttini, Brice Mayag, Florian Yger, Jamal Atif. Online learning of acyclic conditional preference networks from noisy data. 17th IEEE International Conference on Data Mining (ICDM 2017), Nov 2017, New Orleans, United States. ⟨hal-01619969⟩
  • Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cedric Gouy-Pailler, et al.. Structured adaptive and random spinners for fast machine learning computations. 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017), Apr 2017, Fort Lauderdale, Florida, United States. pp.1020-1029. ⟨hal-02010086⟩
  • Fabien Labernia, Bruno Zanuttini, Brice Mayag, Florian Yger, Jamal Atif. Online learning of acyclic conditional preference networks from noisy data. ICDM 2017, 2017, New Orleans, United States. ⟨10.1109/ICDM.2017.34⟩. ⟨hal-02074110⟩
  • Adrian Lecoutre, Benjamin Negrevergne, Florian Yger. Recognizing Art Style Automatically with deep learning. Proceedings of Machine Learning Research, 2017, 77, pp.327 - 342. ⟨hal-02004781⟩
  • Quentin Brabant, Miguel Couceiro, Fabien Labernia, Amedeo Napoli. A dimensionality Reduction Approach for Qualitative Preference Aggregation. International Symposium on Aggregation and Structures (ISAS 2016), Jul 2016, Luxembourg, Luxembourg. ⟨hal-02074061⟩