Francois Buet-Golfouse

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Dynamic Human AI Collaboration.

[BibT_eX]

[DOI]

Kabir Thakur

Nicholas William David Martin

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Sustainable Resource Management.

[BibT_eX]

[DOI]

Ting Sheng Tan

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Decomposing Causality and Fairness.

[BibT_eX]

[DOI]

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Turbo-Charging Deep Learning Methods for Partial Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Lifting Volterra Diffusions via Kernel Decomposition.

[BibT_eX]

[DOI]

Nicholas William David Martin

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Rayleigh Portfolios and Penalised Matrix Decomposition.

[BibT_eX]

[DOI]

Hans Roggeman

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Towards Fair Multi-Stakeholder Recommender Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Robust Collaborative Learning for Sequence Modelling.

[BibT_eX]

[DOI]

Hans Roggeman

Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Fair Unsupervised Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2022

Robust Multi-Objective Reinforcement Learning with Dynamic Preferences.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2022

Numerical Approximations of Log Gaussian Cox Process (Student Abstract).

[BibT_eX]

[DOI]

Hans Roggeman

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Kernel Factorisation Machines.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Narrow Margins: Classification, Margins and Fat Tails.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Debiasing classifiers: is reality at variance with expectation?

[BibT_eX]

[DOI]