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Otmane Sakhi
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2020 – today
- 2026
[i20]Imad Aouali, Flavian Vasile, Otmane Sakhi, Alexandre Gilotte, Benjamin Heymann:
RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents. CoRR abs/2605.18805 (2026)
[i19]Benjamin Heymann, Otmane Sakhi:
Learning to Bid in Repeated Second-Price Auctions with Dynamic Values and Aggregated Feedback. CoRR abs/2605.28133 (2026)
[i18]Aleksei Arzhantsev, Otmane Sakhi, Nicolas Chopin:
Self-Consistency via Marginal Sharpening. CoRR abs/2605.28142 (2026)
[i17]Otmane Sakhi, Aleksei Arzhantsev, Imad Aouali, Flavian Vasile:
Off-Policy Learning to Reason Works Because It Is More Pessimistic Than You Think. CoRR abs/2605.28150 (2026)- 2025
[i16]Maxime Haddouche, Otmane Sakhi:
Logarithmic Smoothing for Adaptive PAC-Bayesian Off-Policy Learning. CoRR abs/2506.10664 (2025)
[i15]Otmane Sakhi, Alexandre Gilotte, David Rohde:
Practical Improvements of A/B Testing with Off-Policy Estimation. CoRR abs/2506.10677 (2025)
[i14]Benjamin Heymann, Otmane Sakhi:
Non-Linear Counterfactual Aggregate Optimization. CoRR abs/2509.03438 (2025)
[i13]Imad Aouali, Otmane Sakhi:
Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation. CoRR abs/2509.03456 (2025)
[i12]Alexandre Gilotte, Otmane Sakhi, Imad Aouali, Benjamin Heymann:
Offline Contextual Bandit with Counterfactual Sample Identification. CoRR abs/2509.10520 (2025)
[i11]Aleksei Arzhantsev, Otmane Sakhi, Flavian Vasile:
RoiRL: Efficient, Self-Supervised Reasoning with Offline Iterative Reinforcement Learning. CoRR abs/2510.02892 (2025)
[i10]Mélissa Tamine, Otmane Sakhi, Benjamin Heymann:
Data Valuation for LLM Fine-Tuning: Efficient Shapley Value Approximation via Language Model Arithmetic. CoRR abs/2512.15765 (2025)- 2024
[c6]Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin:
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning. NeurIPS 2024
[i9]Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin:
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning. CoRR abs/2405.14335 (2024)- 2023
[j1]Otmane Sakhi, David Rohde, Nicolas Chopin:
Fast Slate Policy Optimization: Going Beyond Plackett-Luce. Trans. Mach. Learn. Res. 2023 (2023)
[c5]Otmane Sakhi, David Rohde, Alexandre Gilotte:
Fast Offline Policy Optimization for Large Scale Recommendation. AAAI 2023: 9686-9694
[c4]Otmane Sakhi, Pierre Alquier, Nicolas Chopin:
PAC-Bayesian Offline Contextual Bandits With Guarantees. ICML 2023: 29777-29799
[i8]Otmane Sakhi, David Rohde, Nicolas Chopin:
Fast Slate Policy Optimization: Going Beyond Plackett-Luce. CoRR abs/2308.01566 (2023)- 2022
[c3]Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono:
Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search. KDD 2022: 4772-4773
[i7]Otmane Sakhi, David Rohde, Alexandre Gilotte:
Fast Offline Policy Optimization for Large Scale Recommendation. CoRR abs/2208.05327 (2022)
[i6]Imad Aouali, Achraf Ait Sidi Hammou, Sergey Ivanov, Otmane Sakhi, David Rohde, Flavian Vasile:
A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation. CoRR abs/2208.06263 (2022)
[i5]Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile:
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation. CoRR abs/2209.08642 (2022)
[i4]Otmane Sakhi, Nicolas Chopin, Pierre Alquier:
PAC-Bayesian Offline Contextual Bandits With Guarantees. CoRR abs/2210.13132 (2022)- 2020
[c2]Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile:
BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. KDD 2020: 783-793
[c1]David Rohde, Flavian Vasile, Sergey Ivanov, Otmane Sakhi:
Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation. RecSys 2020: 742-744
[i3]Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile:
BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. CoRR abs/2008.12504 (2020)
[i2]Otmane Sakhi, Louis Faury, Flavian Vasile:
Improving Offline Contextual Bandits with Distributional Robustness. CoRR abs/2011.06835 (2020)
2010 – 2019
- 2019
[i1]Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile:
Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks. CoRR abs/1910.00877 (2019)
Coauthor Index

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