Benjamin Heymann
I am a Staff Research Scientist at Criteo with interests in game theory, reinforcement learning and causal methods. I am a member of the join Inria/Criteo FairPlay team.
My work is motivated by applications for recommender systems and marketplace design. I try to dedicate time to both applied and theoretical topics.
I am currently based in Montreal, but I am usually in Paris.
I hold a degree in engineering from the Ecole polytechnique (Paris), a Master of Science in Operations Research from Columbia University (New York) and a PhD in applied mathematics from the Ecole polytechnique/Inria.
I was honoured to receive a Siebel Scholarship in 2016.
news
| Sep 25, 2024 | Our paper DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation (with Felipe Garrido-Lucero, Maxime Vono, Patrick Loiseau, Vianney Perchet) has been accepted at NEURIPS 2024. |
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| Sep 25, 2024 | Our paper Learning in Games with progressive hiding (with Marc Lanctot) has been selected for an oral presentation at Montreal AI symposium |
| Sep 16, 2024 | Our paper Repeated Bidding with Dynamic Value is accepted to WINE 2024 (with Alexandre Gilotte and Rémi Chan-Renous) |
| Sep 12, 2024 | Our paper Welfare-Optimized Recommender Systems is accepted for the workshop on Strategic and Utility-aware REcommendation (SURE) at the 18th ACM Conference on Recommender Systems (RecSys24)! |
| Sep 5, 2024 | Our preprint Learning in Games with progressive hiding is on arxiv (with Marc Lanctot). |
| Jul 15, 2024 | New preprint: A pragmatic policy learning approach to account for users’ fatigue in repeated auctions, with Alexandre Gilotte and Rémi Chan-Renous |
| Jul 10, 2024 | Our article Procurement Auctions with Losses with Alejandro Jofré has been published, here is a temporary link: here |
| May 7, 2024 | Updated preprint on Lagrangian relaxation and dynamic programming: Optimality Gap Analysis of the Decomposition-Coordination Method for Finite Horizon Bandit Problem. |
| Apr 4, 2024 | Our article Procurement Auctions with Losses with Alejandro Jofré has been accepted for publication at Computational Management Science!!! |
| Mar 28, 2024 | Our preprint Conditional Separation as a Binary Relation. A Coq Assisted Proof, with Jean-Philippe Chancelier and Michel De Lara, is available on HAL. |
| Mar 27, 2024 | Our paper Fixed Point Label Attribution for Real-Time Bidding, with Antoine Désir and Martin Bompaire, is published !!! |
| Mar 1, 2024 | Poster for Maximizing the Success Probability of Policy Allocations in Online Systems presented at AAAI: here. |
| Feb 22, 2024 | Today, I am presenting our poster about Maximizing the Success Probability of Policy Allocations in Online Systems at AAAI. |
| Feb 6, 2024 | I am glad to share our recently published article with Alejandro Jofré on reverse auctions with transportation. The link is here. |
| Jan 31, 2024 | Fixed point label attribution for real-time bidding, with Antoine Désir and Martin Bompaire has been accepted for publication at MSOM ! |
| Dec 20, 2023 | Our paper Reverse auctions with transportation and convex costs was accepted for publication in Computational Management Science (with Alejandro Jofré) |
| Dec 19, 2023 | Our paper Maximizing the Success Probability of Policy Allocations in Online Systems was accepted to AAAI-24 (with Artem Betlei, Thibaud Rahier, Mariia Vladimirova, Mehdi Sebbar and Nicolas Urien) |
| Nov 29, 2023 | My colleagues Jean-Philippe Chancelier and Michel De Lara presented our work at the Workshop on restless bandits, index policies and applications in reinforcement learning (slides available on the workshop page) |
| Oct 15, 2023 | Talk at Causality Discussion Group (online): Causality with Information Algebras. Presentation here. Thank Matej for the invitation!. |
| Oct 1, 2023 | New blog post with Flavian Vasile on Medium : Recommender systems need a user model |
| Oct 1, 2023 | An old work now on arxiv : Some bidding games converging to their unique pure equilibrium  |
| Sep 1, 2023 | I will present at Journée des rencontres ENSAE-ENSAI our work on repeated bidding, presentation here, preprint here |
| Jul 1, 2023 | Updated preprint on learning in display advertising auctions Fixed point label attribution for real-time bidding. Joint work with Antoine Désir (INSEAD) and Martin Bompaire (Criteo AI Lab). |
| Jul 1, 2023 | New preprint on bidding in repeated auctions Repeated Bidding with Dynamic Value. Joint work with Alexandre Gilotte and Rémi Chan-Renous. |
| Jun 1, 2023 | I will be a speaker at Causality in Practice. Our presentation decks are here and here . |
| Jun 1, 2023 | New preprint on data sharing DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation. |
| May 1, 2023 | We will present at Fundamental Challenges in Causality our work on Causal Inference with Information Fields. |
| Apr 1, 2023 | I will present at The Colloquium on When Causal Inference meets Statistical Analysis our work on Causal Inference with Information Fields (with Michel De Lara and Jean-Philippe Chancelier). A full version of the investigation is on arxiv (splitted in three subpapers). You can find the slides of my presentation here. |