88 documents
- Eric Benhamou. Kalman filter demystified: from intuition to probabilistic graphical model to real case in financial markets. 2019. ⟨hal-02012471⟩
- David Saltiel, Eric Benhamou. Feature selection with optimal coordinate ascent (OCA). 2019. ⟨hal-02012473⟩
- Eric Benhamou. A few properties of sample variance. 2019. ⟨hal-02012458⟩
- Eric Benhamou, Valentin Melot. Seven proofs of the Pearson Chi-squared independence test and its graphical interpretation. 2019. ⟨hal-02012452⟩
- Ikko Yamane, Florian Yger, Jamal Atif, Masashi Sugiyama. Uplift Modeling from Separate Labels. NeurIPS, Dec 2018, Montréal, Canada. ⟨hal-02010052⟩
- Fabien Labernia. Algorithmes efficaces pour l'apprentissage de réseaux de préférences conditionnelles à partir de données bruitées. Intelligence artificielle [cs.AI]. PSL Research University, 2018. Français. ⟨NNT : ⟩. ⟨tel-02074097⟩
- 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. 2018 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, May 2018, San Diego, United States. ⟨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⟩
Documents récupérés de l'archive ouverte HAL 