Martin Bompaire

According to our database1, Martin Bompaire authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2024
Fixed Point Label Attribution for Real-Time Bidding.
Manuf. Serv. Oper. Manag., 2024

2022
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation.
CoRR, 2022

Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Causal Models for Real Time Bidding with Repeated User Interactions.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Sparse and low-rank multivariate Hawkes processes.
J. Mach. Learn. Res., 2020

Bidding Through the Lens of Attribution: Pick the Right Labels!
CoRR, 2020

Joint Policy-Value Learning for Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Machine learning based on Hawkes processes and stochastic optimization. (Apprentissage automatique avec les processus de Hawkes et l'optimisation stochastique).
PhD thesis, 2019

Learning from Bandit Feedback: An Overview of the State-of-the-art.
CoRR, 2019

2018
Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption.
CoRR, 2018

2017
tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models.
J. Mach. Learn. Res., 2017


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