Otmane Sakhi - RankMe

23 papers A* 5A 1Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Data Valuation for LLM Fine-Tuning: Efficient Shapley Value Approximation via Language Model Arithmetic. CoRR Mélissa Tamine, Otmane Sakhi, Benjamin Heymann
2025	J	`jnl`	Logarithmic Smoothing for Adaptive PAC-Bayesian Off-Policy Learning. CoRR Maxime Haddouche, Otmane Sakhi
2025	J	`jnl`	Non-Linear Counterfactual Aggregate Optimization. CoRR Benjamin Heymann, Otmane Sakhi
2025	J	`jnl`	Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation. CoRR Imad Aouali, Otmane Sakhi
2025	J	`jnl`	Offline Contextual Bandit with Counterfactual Sample Identification. CoRR Alexandre Gilotte, Otmane Sakhi, Imad Aouali, Benjamin Heymann
2025	J	`jnl`	Practical Improvements of A/B Testing with Off-Policy Estimation. CoRR Otmane Sakhi, Alexandre Gilotte, David Rohde
2025	J	`jnl`	RoiRL: Efficient, Self-Supervised Reasoning with Offline Iterative Reinforcement Learning. CoRR Aleksei Arzhantsev, Otmane Sakhi, Flavian Vasile
2024	A*	`conf`	Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning. NeurIPS Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin
2024	J	`jnl`	Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning. CoRR Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin
2023	A*	`conf`	Fast Offline Policy Optimization for Large Scale Recommendation. AAAI Otmane Sakhi, David Rohde, Alexandre Gilotte
2023	J	`jnl`	Fast Slate Policy Optimization: Going Beyond Plackett-Luce. CoRR Otmane Sakhi, David Rohde, Nicolas Chopin
2023	J	`jnl`	Fast Slate Policy Optimization: Going Beyond Plackett-Luce. Trans. Mach. Learn. Res. Otmane Sakhi, David Rohde, Nicolas Chopin
2023	A*	`conf`	PAC-Bayesian Offline Contextual Bandits With Guarantees. ICML Otmane Sakhi, Pierre Alquier, Nicolas Chopin
2022	J	`jnl`	A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation. CoRR Imad Aouali, Achraf Ait Sidi Hammou, Sergey Ivanov, Otmane Sakhi, David Rohde, Flavian Vasile
2022	J	`jnl`	Fast Offline Policy Optimization for Large Scale Recommendation. CoRR Otmane Sakhi, David Rohde, Alexandre Gilotte
2022	J	`jnl`	Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation. CoRR Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile
2022	J	`jnl`	PAC-Bayesian Offline Contextual Bandits With Guarantees. CoRR Otmane Sakhi, Nicolas Chopin, Pierre Alquier
2022	A*	`conf`	Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search. KDD Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono
2020	J	`jnl`	BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. CoRR Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
2020	A*	`conf`	BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. KDD Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
2020	A	`conf`	Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation. RecSys David Rohde, Flavian Vasile, Sergey Ivanov, Otmane Sakhi
2020	J	`jnl`	Improving Offline Contextual Bandits with Distributional Robustness. CoRR Otmane Sakhi, Louis Faury, Flavian Vasile
2019	J	`jnl`	Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks. CoRR Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile