Author of the publication

Regression with n→1 by Expert Knowledge Elicitation.

, , and . ICMLA, page 734-739. IEEE Computer Society, (2016)

Please choose a person to relate this publication to

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.

 

Other publications of authors with the same name

Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression., , , and . IAL@PKDD/ECML, volume 1924 of CEUR Workshop Proceedings, page 64-66. CEUR-WS.org, (2017)Multi-Agent Best Arm Identification with Private Communications., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29082-29102. PMLR, (2023)Secure Outsourcing of Multi-Armed Bandits., , , and . TrustCom, page 202-209. IEEE, (2020)Sequential Resource Allocation in Linear Stochastic Bandits . (Allocation séquentielle de ressources dans le modèle de bandit linéaire).. Lille University of Science and Technology, France, (2015)FeReD: Federated Reinforcement Learning in the DBMS., , , and . CIKM, page 4989-4993. ACM, (2022)Regression with n→1 by Expert Knowledge Elicitation., , and . ICMLA, page 734-739. IEEE Computer Society, (2016)Best-Arm Identification in Linear Bandits., , and . NIPS, page 828-836. (2014)Implementing Linear Bandits in Off-the-Shelf SQLite., , and . EDBT, page 2:388-2:392. OpenProceedings.org, (2022)Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets., , , , , , , and . IUI, page 547-552. ACM, (2017)Samba: A System for Secure Federated Multi-Armed Bandits., , , , and . ICDE, page 3154-3157. IEEE, (2022)