Marta Soare

Orcid: 0000-0002-5610-8470

According to our database1, Marta Soare authored at least 21 papers between 2014 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Secure Protocols for Best Arm Identification in Federated Stochastic Multi-Armed Bandits.
IEEE Trans. Dependable Secur. Comput., 2023

Secure protocols for cumulative reward maximization in stochastic multi-armed bandits.
J. Comput. Secur., 2023

SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-Agent Best Arm Identification with Private Communications.
Proceedings of the International Conference on Machine Learning, 2023

2022
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits.
J. Artif. Intell. Res., 2022

Samba: A System for Secure Federated Multi-Armed Bandits.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Implementing Linear Bandits in Off-the-Shelf SQLite.
Proceedings of the 25th International Conference on Extending Database Technology, 2022

FeReD: Federated Reinforcement Learning in the DBMS.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
DashBot: An ML-Guided Dashboard Generation System.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Secure Outsourcing of Multi-Armed Bandits.
Proceedings of the 19th IEEE International Conference on Trust, 2020

Secure Cumulative Reward Maximization in Linear Stochastic Bandits.
Proceedings of the Provable and Practical Security - 14th International Conference, ProvSec 2020, Singapore, November 29, 2020

2019
Secure Best Arm Identification in Multi-armed Bandits.
Proceedings of the Information Security Practice and Experience, 2019

2018
Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.
Bioinform., 2018

2017
Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction.
Mach. Learn., 2017

Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation.
CoRR, 2017

Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression.
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

2016
Regression with n$\to$1 by Expert Knowledge Elicitation.
CoRR, 2016

Regression with n→1 by Expert Knowledge Elicitation.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
Sequential Resource Allocation in Linear Stochastic Bandits . (Allocation séquentielle de ressources dans le modèle de bandit linéaire).
PhD thesis, 2015

2014
Best-Arm Identification in Linear Bandits.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014


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