Imad Aouali

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Hierarchical Bayesian

Policy Evaluation

Top Venues

Publications

Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling. CoRR (2024)
Nicolas Nguyen, Imad Aouali, András György, Claire Vernade
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits. CoRR (2024)
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces. CoRR (2024)
Imad Aouali
Diffusion Models Meet Contextual Bandits with Large Action Spaces. CoRR (2024)
Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning. CoRR (2024)
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
Exponential Smoothing for Off-Policy Learning. CoRR (2023)
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
Exponential Smoothing for Off-Policy Learning. ICML (2023)
Imad Aouali, Branislav Kveton, Sumeet Katariya
Mixed-Effect Thompson Sampling. AISTATS (2023)
Imad Aouali, Branislav Kveton, Sumeet Katariya
Generalizing Hierarchical Bayesian Bandits. CoRR (2022)
Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation. CoRR (2022)
Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono
Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search. KDD (2022)
Imad Aouali, Achraf Ait Sidi Hammou, Sergey Ivanov, Otmane Sakhi, David Rohde, Flavian Vasile
A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation. CoRR (2022)
Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand
Combining Reward and Rank Signals for Slate Recommendation. CoRR (2021)