102 documents
- Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar. Interpretable Cascade Classifiers with Abstention. 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), Apr 2019, Naha, Japan. ⟨hal-02006252⟩
- Eric Benhamou. Connecting Sharpe ratio and Student t-statistic, and beyond. 2019. ⟨hal-02012448⟩
- Eric Benhamou. A few properties of sample variance. 2019. ⟨hal-02012458⟩
- 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, Jamal Atif, Rida Laraki. A discrete version of CMA-ES. 2019. ⟨hal-02011531v2⟩
- Eric Benhamou, Jamal Atif, Rida Laraki. A new approach to learning in Dynamic Bayesian Networks (DBNs). 2019. ⟨hal-02011529v2⟩
- 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⟩

