Imad Aouali

According to our database1, Imad Aouali authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling.
CoRR, 2024

Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning.
CoRR, 2024

Bayesian Off-Policy Evaluation and Learning for Large Action Spaces.
CoRR, 2024

Diffusion Models Meet Contextual Bandits with Large Action Spaces.
CoRR, 2024

Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits.
CoRR, 2024

2023
Exponential Smoothing for Off-Policy Learning.
Proceedings of the International Conference on Machine Learning, 2023

Mixed-Effect Thompson Sampling.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation.
CoRR, 2022

A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation.
CoRR, 2022

Generalizing Hierarchical Bayesian Bandits.
CoRR, 2022

Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search.
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.
CoRR, 2021


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