Imad Aouali

19 papers A* 3A 4Journal 12
YearRankTypeTitle / Venue / Authors
2025 A conf
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces.
AISTATS
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
2025 J jnl
Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation.
CoRR
Imad Aouali, Otmane Sakhi
2025 J jnl
Offline Contextual Bandit with Counterfactual Sample Identification.
CoRR
Alexandre Gilotte, Otmane Sakhi, Imad Aouali, Benjamin Heymann
2025 A conf
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits.
AISTATS
Nicolas Nguyen, Imad Aouali, András György, Claire Vernade
2024 J jnl
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces.
CoRR
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
2024 J jnl
Diffusion Models Meet Contextual Bandits with Large Action Spaces.
CoRR
Imad Aouali
2024 A* conf
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning.
NeurIPS
Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin
2024 J jnl
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning.
CoRR
Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin
2024 J jnl
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits.
CoRR
Nicolas Nguyen, Imad Aouali, András György, Claire Vernade
2024 A conf
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling.
UAI
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
2024 J jnl
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling.
CoRR
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
2023 A* conf
Exponential Smoothing for Off-Policy Learning.
ICML
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
2023 J jnl
Exponential Smoothing for Off-Policy Learning.
CoRR
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
2023 A conf
Mixed-Effect Thompson Sampling.
AISTATS
Imad Aouali, Branislav Kveton, Sumeet Katariya
2022 J jnl
A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation.
CoRR
Imad Aouali, Achraf Ait Sidi Hammou, Sergey Ivanov, Otmane Sakhi, David Rohde, Flavian Vasile
2022 J jnl
Generalizing Hierarchical Bayesian Bandits.
CoRR
Imad Aouali, Branislav Kveton, Sumeet Katariya
2022 J jnl
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation.
CoRR
Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile
2022 A* conf
Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search.
KDD
Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono
2021 J jnl
Combining Reward and Rank Signals for Slate Recommendation.
CoRR
Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand