Francois Buet-Golfouse

Orcid: 0000-0002-2164-7087

According to our database1, Francois Buet-Golfouse authored at least 22 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
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1
2
3
4
5
6
7
8
9
2
1
2
7
8
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Differentially Private Fine-Tuning of Diffusion Models.
CoRR, 2024

Online Personalizing White-box LLMs Generation with Neural Bandits.
CoRR, 2024

Online Personalizing White-box LLMs Generation with Neural Bandits.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Fairness Under Partial Observability.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Dynamic Human AI Collaboration.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Sustainable Resource Management.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Decomposing Causality and Fairness.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Turbo-Charging Deep Learning Methods for Partial Differential Equations.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Lifting Volterra Diffusions via Kernel Decomposition.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Rayleigh Portfolios and Penalised Matrix Decomposition.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Towards Fair Multi-Stakeholder Recommender Systems.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Multi-Learning Generalised Low-Rank Models.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Robust Collaborative Learning for Sequence Modelling.
Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Fair Unsupervised Learning.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Fairness Trade-Offs and Partial Debiasing.
Proceedings of the Asian Conference on Machine Learning, 2022

Robust Multi-Objective Reinforcement Learning with Dynamic Preferences.
Proceedings of the Asian Conference on Machine Learning, 2022

Numerical Approximations of Log Gaussian Cox Process (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Kernel Factorisation Machines.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Narrow Margins: Classification, Margins and Fat Tails.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Debiasing classifiers: is reality at variance with expectation?
CoRR, 2020


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