Publications
This page is used only to host PDFs. For abstracts, code, and details, visit iaouali.com.
- 2025 PDF Diffusion Models Meet Contextual Bandits NeurIPS 2025
- 2025 PDF Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation RecSys 2024 – CONSEQUENCES Workshop
- 2025 PDF Offline Contextual Bandit with Counterfactual Sample Identification RecSys 2024 – CONSEQUENCES Workshop
- 2025 PDF Bayesian Off-Policy Evaluation and Learning for Large Action Spaces AISTATS 2025
- 2025 PDF Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits AISTATS 2025
- 2024 PDF Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NeurIPS 2024
- 2024 PDF Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling UAI 2024
- 2023 PDF Linear Diffusion Models Meet Contextual Bandits with Large Action Spaces FMDM @ NeurIPS 2023
- 2023 PDF Exponential Smoothing for Off-Policy Learning ICML 2023
- 2023 PDF Mixed-Effect Thompson Sampling AISTATS 2023
- 2023 PDF Probabilistic Rank and Reward: A Scalable Model for Slate Recommendation Preprint
- 2022 PDF Reward Optimizing Recommendation using Deep Learning and Fast MIPS Tutorials @ KDD & ECML 2022
- 2022 PDF Combining Reward and Rank Signals for Slate Recommendation BCIRWIS @ KDD 2022
- 2022 PDF Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation SimuRec @ RecSys 2022
- — PDF The bibliography section of Otmane Sakhi's thesis contains most of the related work
Presentations
Summary presentations connecting multiple research papers.
- — PDF Bayesian Off-Policy Evaluation and Learning for Large Action Spaces Bayesian approaches to off-policy evaluation and learning
- — PDF Diffusion Models Meet Bandits Connecting diffusion models with contextual bandit algorithms
- — PDF Exponential Smoothing for Off-Policy Learning Unified view of smoothing techniques in off-policy evaluation
- — PDF Mixed-Effect Thompson Sampling Hierarchical modeling approaches for contextual bandits
- — PDF Bibliography of contextual bandits The bibliography section of Otmane Sakhi's thesis contains most of the related work