Imad Aouali

According to our database, Imad Aouali authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling.

Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba

CoRR, 2024

Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning.

Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin

CoRR, 2024

Bayesian Off-Policy Evaluation and Learning for Large Action Spaces.

Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba

CoRR, 2024

Diffusion Models Meet Contextual Bandits with Large Action Spaces.

Imad Aouali

CoRR, 2024

Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits.

Nicolas Nguyen, Imad Aouali, András György, Claire Vernade

CoRR, 2024

2023

Exponential Smoothing for Off-Policy Learning.

Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba

Proceedings of the International Conference on Machine Learning, 2023

Mixed-Effect Thompson Sampling.

Imad Aouali, Branislav Kveton, Sumeet Katariya

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

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

Generalizing Hierarchical Bayesian Bandits.

Imad Aouali, Branislav Kveton, Sumeet Katariya

CoRR, 2022

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Combining Reward and Rank Signals for Slate Recommendation.

Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand

CoRR, 2021