Benjamin Heymann

According to our database, Benjamin Heymann authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Procurement auctions with losses.

Benjamin Heymann, Alejandro Jofré

Comput. Manag. Sci., December, 2024

Reverse auctions with transportation and convex costs.

Benjamin Heymann, Alejandro Jofré

Comput. Manag. Sci., June, 2024

Fixed Point Label Attribution for Real-Time Bidding.

Martin Bompaire, Antoine Désir, Benjamin Heymann

Manuf. Serv. Oper. Manag., 2024

A pragmatic policy learning approach to account for users' fatigue in repeated auctions.

Benjamin Heymann, Rémi Chan-Renous-Legoubin, Alexandre Gilotte

CoRR, 2024

Welfare-Optimized Recommender Systems.

Benjamin Heymann, Flavian Vasile, David Rohde

Proceedings of the Workshop on Strategic and Utility-aware REcommendations (SURE 2024) co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

Maximizing the Success Probability of Policy Allocations in Online Systems.

Artem Betlei, Mariia Vladimirova, Mehdi Sebbar, Nicolas Urien, Thibaud Rahier, Benjamin Heymann

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Some bidding games converging to their unique pure equilibrium.

Benjamin Heymann, Alejandro Jofré

CoRR, 2023

DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation.

Felipe Garrido-Lucero, Benjamin Heymann, Maxime Vono, Patrick Loiseau, Vianney Perchet

CoRR, 2023

2022

Kuhn's equivalence theorem for games in product form.

Benjamin Heymann, Michel De Lara, Jean-Philippe Chancelier

Games Econ. Behav., 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

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

A heuristic for estimating Nash equilibria in first-price auctions with correlated values.

Benjamin Heymann, Panayotis Mertikopoulos

CoRR, 2021

Causal Inference Theory with Information Dependency Models.

Benjamin Heymann, Michel De Lara, Jean-Philippe Chancelier

CoRR, 2021

Topological Conditional Separation.

Michel De Lara, Jean-Philippe Chancelier, Benjamin Heymann

CoRR, 2021

Conditional Separation as a Binary Relation.

Jean-Philippe Chancelier, Michel De Lara, Benjamin Heymann

CoRR, 2021

Causal Models for Real Time Bidding with Repeated User Interactions.

Martin Bompaire, Alexandre Gilotte, Benjamin Heymann

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

How to bid in unified second-price auctions when requests are duplicated.

Benjamin Heymann, Criteo

Oper. Res. Lett., 2020

Bidding Through the Lens of Attribution: Pick the Right Labels!

Martin Bompaire, Antoine Désir, Benjamin Heymann

CoRR, 2020

Kuhn's Equivalence Theorem for Games in Intrinsic Form.

Benjamin Heymann, Michel De Lara, Jean-Philippe Chancelier

CoRR, 2020

2019

Optimal auctions for networked markets with externalities.

Benjamin Heymann, Alejandro Jofré

CoRR, 2019

Cost per action constrained auctions.

Benjamin Heymann

Proceedings of the 14th Workshop on the Economics of Networks, Systems and Computation, 2019

2018

Optimal Battery Aging: An Adaptive Weights Dynamic Programming Algorithm.

Benjamin Heymann, Pierre Martinon

J. Optim. Theory Appl., 2018

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

2016

A stochastic continuous time model for microgrid energy management.

Benjamin Heymann, J. Frédéric Bonnans, Francisco J. Silva, Guillermo Jiménez

Proceedings of the 15th European Control Conference, 2016