Combining Reward and Rank Signals for Slate Recommendation. - Imad Aouali; Sergey Ivanov; Mike Gartrell; David Rohde; Flavian Vasile; Victor Zaytsev; Diego Legrand (CoRR, 2021)

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)

Generalizing Hierarchical Bayesian Bandits. - Imad Aouali; Branislav Kveton; Sumeet Katariya (CoRR, 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)

Mixed-Effect Thompson Sampling. - Imad Aouali; Branislav Kveton; Sumeet Katariya (AISTATS, 2023)

Exponential Smoothing for Off-Policy Learning. - Imad Aouali; Victor-Emmanuel Brunel; David Rohde; Anna Korba (ICML, 2023)

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

Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling. - Imad Aouali; Victor-Emmanuel Brunel; David Rohde; Anna Korba (UAI, 2024)

Diffusion Models Meet Contextual Bandits with Large Action Spaces. - Imad Aouali (CoRR, 2024)

Bayesian Off-Policy Evaluation and Learning for Large Action Spaces. - Imad Aouali; Victor-Emmanuel Brunel; David Rohde; Anna Korba (AISTATS, 2025)

Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits. - Nicolas Nguyen; Imad Aouali; András György 001; Claire Vernade (AISTATS, 2025)