Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks. - Otmane Sakhi; Stephen Bonner; David Rohde; Flavian Vasile (CoRR, 2019)

BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. - Otmane Sakhi; Stephen Bonner; David Rohde; Flavian Vasile (KDD, 2020)

Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation. - David Rohde; Flavian Vasile; Sergey Ivanov; Otmane Sakhi (RecSys, 2020)

Improving Offline Contextual Bandits with Distributional Robustness. - Otmane Sakhi; Louis Faury; Flavian Vasile (CoRR, 2020)

Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search. - Imad Aouali; Amine Benhalloum; Martin Bompaire; Achraf Ait Sidi Hammou; Sergey Ivanov; Benjamin Heymann; David Rohde; Otmane Sakhi; Flavian Vasile; Maxime Vono (KDD, 2022)

A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation. - Imad Aouali; Achraf Ait Sidi Hammou; Sergey Ivanov; Otmane Sakhi; David Rohde; Flavian Vasile (CoRR, 2022)

Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation. - Imad Aouali; Amine Benhalloum; Martin Bompaire; Benjamin Heymann; Olivier Jeunen; David Rohde; Otmane Sakhi; Flavian Vasile (CoRR, 2022)

Fast Offline Policy Optimization for Large Scale Recommendation. - Otmane Sakhi; David Rohde; Alexandre Gilotte (AAAI, 2023)

PAC-Bayesian Offline Contextual Bandits With Guarantees. - Otmane Sakhi; Pierre Alquier; Nicolas Chopin (ICML, 2023)

Fast Slate Policy Optimization: Going Beyond Plackett-Luce. - Otmane Sakhi; David Rohde; Nicolas Chopin (Trans. Mach. Learn. Res., 2023)

Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning. - Otmane Sakhi; Imad Aouali; Pierre Alquier; Nicolas Chopin (NeurIPS, 2024)

Logarithmic Smoothing for Adaptive PAC-Bayesian Off-Policy Learning. - Maxime Haddouche; Otmane Sakhi (CoRR, 2025)

Practical Improvements of A/B Testing with Off-Policy Estimation. - Otmane Sakhi; Alexandre Gilotte; David Rohde (CoRR, 2025)