Publications of Imad Aouali (Full Website at iaouali.com)

• 2025 – Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
• 2025 – Offline Contextual Bandit with Counterfactual Sample Identification
• 2025 – Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
• 2025 – Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
• 2025 – Diffusion Models Meet Contextual Bandits
• 2024 – Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
• 2024 – Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling
• 2023 – Linear Diffusion Models Meet Contextual Bandits with Large Action Spaces
• 2023 – Exponential Smoothing for Off-Policy Learning
• 2023 – Mixed-Effect Thompson Sampling
• 2023 – Probabilistic Rank & Reward: A Scalable Model for Slate Recommendation
• 2022 – Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search
• 2022 – Combining Reward and Rank Signals for Slate Recommendation
• 2022 – Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation
• Related Work – Otmane Sakhi's Thesis Contains Most Related Work