Get started
Author

Otmane Sakhi

Observed name: Sakhi, Otmane
Institution: Criteo (France)
ORCID: 0009-0004-6185-7574
Observed ORCID: 0009-0004-6185-7574
OpenAlex ID: A5041764021
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
2024 · Otmane Sakhi, Imad Aouali, et al. · neural information processing systems · 8
PDF
Exploiting Similarities in A/B Testing with Off-Policy Estimation
2026 · Otmane Sakhi, Alexandre Gilotte, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 7
Probabilistic Rank and Reward: A Scalable Model for Slate Recommendation
2022 · Aouali, Imad, Hammou, Achraf Ait Sidi, et al. · arXiv (Cornell University) · 7
PDF
Self-Consistency via Marginal Sharpening
2026 · Arzhantsev, Aleksei, Sakhi, Otmane, et al. · arXiv (Cornell University) · 6
PDF
PAC-Bayesian Offline Contextual Bandits With Guarantees
2022 · Sakhi, Otmane, Alquier, Pierre, et al. · arXiv (Cornell University) · 6
PDF
Improving Offline Contextual Bandits with Distributional Robustness
2020 · Sakhi, Otmane, Faury, Louis, et al. · arXiv (Cornell University) · 6
PDF
Fast Slate Policy Optimization: Going Beyond Plackett-Luce
2023 · Sakhi, Otmane, Rohde, David, et al. · arXiv (Cornell University) · 5
PDF
Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search
2022 · Imad Aouali, Amine Benhalloum, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 5
Fast Offline Policy Optimization for Large Scale Recommendation
2023 · Otmane Sakhi, David Rohde, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 4
PDF
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation
2022 · Aouali, Imad, Benhalloum, Amine, et al. · arXiv (Cornell University) · 3
PDF
Summary of Tutorials at The Web Conference 2021
2021 · Robert West, Smriti Bhagat, et al. · International World Wide Web Conference (WWW) · 3
Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
2025 · Aouali, Imad, Sakhi, Otmane · arXiv (Cornell University) · 2
PDF
Sequential Off-Policy Learning with Logarithmic Smoothing
2025 · Haddouche, Maxime, Sakhi, Otmane · arXiv (Cornell University) · 2
PDF
Off-Policy Learning to Reason Works Because It Is More Pessimistic Than You Think
2026 · Sakhi, Otmane, Arzhantsev, Aleksei, et al. · arXiv (Cornell University) · 1
PDF
Offline Contextual Bandit with Counterfactual Sample Identification
2025 · Gilotte, Alexandre, Sakhi, Otmane, et al. · arXiv (Cornell University) · 1
PDF
Non-Linear Counterfactual Aggregate Optimization
2025 · Heymann, Benjamin, Sakhi, Otmane · arXiv (Cornell University) · 1
PDF
Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation
2020 · David Rohde, Flavian Vasile, et al. · ACM Conference on Recommender Systems (RecSys) · 1
Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks
2019 · Sakhi, Otmane, Bonner, Stephen, et al. · arXiv (Cornell University) · 1
PDF
Learning to Bid in Repeated Second-Price Auctions with Dynamic Values and Aggregated Feedback
2026 · Heymann, Benjamin, Sakhi, Otmane · arXiv (Cornell University)
PDF
RecoAtlas: A Benchmark and RL Environment for LLM Recommendation Agents Optimizing Set-Level Utility
2026 · Aouali, Imad, Vasile, Flavian, et al. · arXiv (Cornell University)
PDF
RoiRL: Efficient, Self-Supervised Reasoning with Offline Iterative Reinforcement Learning
2025 · Arzhantsev, Aleksei, Sakhi, Otmane, et al. · arXiv (Cornell University)
PDF
Offline Contextual Bandit : Theory and Large Scale Applications
2023 · Otmane Sakhi · theses.fr (ABES)
PDF
Works count: 24
Citation count: 69
H-index: 6
I10-index:
Year
Topic
Type