Imad Aouali
Publications
Research papers, abstracts, and PDFs on contextual bandits, off-policy learning, recommender systems, and generative models.
2026
- 2026
2025
- 2025
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2025
Offline Contextual Bandit with Counterfactual Sample Identification
RecSys 2025 CONSEQUENCES Workshop
- 2025
- 2025
2024
- 2024
- 2024
2023
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2023
Linear Diffusion Models Meet Contextual Bandits with Large Action Spaces
Foundation Models for Decision Making Workshop at NeurIPS 2023
- 2023
- 2023
- 2023
2022
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2022
Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search
Tutorials at KDD 2022 and ECML 2022
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2022
Combining Reward and Rank Signals for Slate Recommendation
BCIRWIS Workshop at KDD 2022
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2022
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation
SimuRec Workshop at RecSys 2022
Presentations
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PDF
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
Bayesian approaches to off-policy evaluation and learning
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PDF
Diffusion Models Meet Bandits
Connecting diffusion models with contextual bandit algorithms
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PDF
Exponential Smoothing for Off-Policy Learning
Unified view of smoothing techniques in off-policy evaluation
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PDF
Mixed-Effect Thompson Sampling
Hierarchical modeling approaches for contextual bandits
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PDF
On-Policy and Off-Policy Learning for Large Action Spaces
Defense slides for Imad Aouali's thesis
Resources
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PDF
Bibliography of Contextual Bandits
The bibliography section of Otmane Sakhi's thesis contains related work on contextual bandits.