A stochastic continuous time model for microgrid energy management. - Benjamin Heymann; J. Frédéric Bonnans; Francisco J. Silva; Guillermo Jiménez (ECC, 2016)

Thresholding the virtual value: a simple method to increase welfare and lower reserve prices in online auction systems. - Thomas Nedelec; Marc Abeille; Clément Calauzènes; Noureddine El Karoui; Benjamin Heymann; Vianney Perchet (CoRR, 2018)

Optimal Battery Aging: An Adaptive Weights Dynamic Programming Algorithm. - Benjamin Heymann; Pierre Martinon (J. Optim. Theory Appl., 2018)

Cost per action constrained auctions. - Benjamin Heymann (NetEcon@SIGMETRICS, 2019)

Optimal auctions for networked markets with externalities. - Benjamin Heymann; Alejandro Jofré (CoRR, 2019)

Kuhn's Equivalence Theorem for Games in Intrinsic Form. - Benjamin Heymann; Michel De Lara; Jean-Philippe Chancelier (CoRR, 2020)

Bidding Through the Lens of Attribution: Pick the Right Labels! - Martin Bompaire; Antoine Désir; Benjamin Heymann (CoRR, 2020)

How to bid in unified second-price auctions when requests are duplicated. - Benjamin Heymann; Criteo (Oper. Res. Lett., 2020)

Causal Models for Real Time Bidding with Repeated User Interactions. - Martin Bompaire; Alexandre Gilotte; Benjamin Heymann (KDD, 2021)

Conditional Separation as a Binary Relation. - Jean-Philippe Chancelier; Michel De Lara; Benjamin Heymann (CoRR, 2021)

Topological Conditional Separation. - Michel De Lara; Jean-Philippe Chancelier; Benjamin Heymann (CoRR, 2021)

Causal Inference Theory with Information Dependency Models. - Benjamin Heymann; Michel De Lara; Jean-Philippe Chancelier (CoRR, 2021)

A heuristic for estimating Nash equilibria in first-price auctions with correlated values. - Benjamin Heymann; Panayotis Mertikopoulos (CoRR, 2021)

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 (KDD, 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)

Kuhn's equivalence theorem for games in product form. - Benjamin Heymann; Michel De Lara; Jean-Philippe Chancelier (Games Econ. Behav., 2022)

Some bidding games converging to their unique pure equilibrium. - Benjamin Heymann; Alejandro Jofré (CoRR, 2023)

Maximizing the Success Probability of Policy Allocations in Online Systems. - Artem Betlei; Mariia Vladimirova; Mehdi Sebbar; Nicolas Urien; Thibaud Rahier; Benjamin Heymann (AAAI, 2024)

DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation. - Felipe Garrido-Lucero; Benjamin Heymann; Maxime Vono; Patrick Loiseau; Vianney Perchet (NeurIPS, 2024)

Welfare-Optimized Recommender Systems. - Benjamin Heymann; Flavian Vasile; David Rohde (SURE@RecSys, 2024)

A pragmatic policy learning approach to account for users' fatigue in repeated auctions. - Benjamin Heymann; Rémi Chan-Renous-Legoubin; Alexandre Gilotte (CoRR, 2024)

Fixed Point Label Attribution for Real-Time Bidding. - Martin Bompaire; Antoine Désir; Benjamin Heymann (Manuf. Serv. Oper. Manag., 2024)

Reverse auctions with transportation and convex costs. - Benjamin Heymann; Alejandro Jofré (Comput. Manag. Sci., 2024)

Procurement auctions with losses. - Benjamin Heymann; Alejandro Jofré (Comput. Manag. Sci., 2024)

Learning in Games with Progressive Hiding. - Benjamin Heymann; Marc Lanctot (AAMAS, 2025)

On the Impact of the Utility in Semivalue-based Data Valuation. - Mélissa Tamine; Benjamin Heymann; Patrick Loiseau; Maxime Vono (CoRR, 2025)

Adaptive Preference Aggregation. - Benjamin Heymann (CoRR, 2025)