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Disambiguation of "Bompaire, Martin"

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Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search.

, , , , , , , , , and . KDD, page 4772-4773. ACM, (2022)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Martin Breitenfeldt

Mass measurements on short-lived Cd and Ag nuclides at the online mass spectrometer ISOLTRAP. Uni Greifswald, (2009)

Martin Faes

Analyse der mehrskaligen Transportmechanismen beim laminaren Mischen mittels laseroptischer und numerischer Methoden. Uni Hannover, (2009)

Martin Klug

The late Quaternary environmental and climatic history of North-East Greenland, inferred from coastal lakes. Uni Köln, (2009)

Martin Brückner

Vergleichende Untersuchungen zur Inzidenz apoptotischer und proliferativer Veränderungen kultivierter, humaner Knochenzellen von Ober- und Unterkiefer auf maschinenbearbeitetem, reinem Titan über 25 Tage. Uni Leipzig, (2009)

Martin Nickel

Einsatz von Rollenspielen und standardisierten Eltern zur Schulung kommunikativer Kompetenzen von Medizinstudenten in Anamnese- und Beratungsgesprächen mit Eltern kranker Kinder: eine quantitative und qualitative Analyse im Kontrollgruppendesign. Uni Heidelberg, (2009)
 

Other publications of authors with the same name

Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation., , , , , , , and . CoRR, (2022)Joint Policy-Value Learning for Recommendation., , , and . KDD, page 1223-1233. ACM, (2020)Machine learning based on Hawkes processes and stochastic optimization. (Apprentissage automatique avec les processus de Hawkes et l'optimisation stochastique).. University of Paris-Saclay, France, (2019)Causal Models for Real Time Bidding with Repeated User Interactions., , and . KDD, page 75-85. ACM, (2021)Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption., , and . CoRR, (2018)Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search., , , , , , , , , and . KDD, page 4772-4773. ACM, (2022)Bidding Through the Lens of Attribution: Pick the Right Labels!, , and . CoRR, (2020)tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models., , , , and . J. Mach. Learn. Res., (2017)Learning from Bandit Feedback: An Overview of the State-of-the-art., , , , , and . CoRR, (2019)