Otmane Sakhi

According to our database, Otmane Sakhi authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Fast Slate Policy Optimization: Going Beyond Plackett-Luce.

Otmane Sakhi, David Rohde, Nicolas Chopin

CoRR, 2023

PAC-Bayesian Offline Contextual Bandits With Guarantees.

Otmane Sakhi, Pierre Alquier, Nicolas Chopin

Proceedings of the International Conference on Machine Learning, 2023

Fast Offline Policy Optimization for Large Scale Recommendation.

Otmane Sakhi, David Rohde, Alexandre Gilotte

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile

CoRR, 2022

A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation.

Imad Aouali, Achraf Ait Sidi Hammou, Sergey Ivanov, Otmane Sakhi, David Rohde, Flavian Vasile

CoRR, 2022

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

Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Improving Offline Contextual Bandits with Distributional Robustness.

Otmane Sakhi, Louis Faury, Flavian Vasile

CoRR, 2020

Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation.

David Rohde, Flavian Vasile, Sergey Ivanov, Otmane Sakhi

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals.

Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks.

Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile

CoRR, 2019