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ORCIDFrancois Buet-Golfouse
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2020 – today
- 2024
[c18]Roberto Pagliari, Peter Hill, Po-Yu Chen, Maciej Dabrowny, Tingsheng Tan, Francois Buet-Golfouse:
A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence. ECAI 2024: 834-841- [i4]Zekai Chen, Weeden Daniel, Po-Yu Chen, Francois Buet-Golfouse:
Online Personalizing White-box LLMs Generation with Neural Bandits. CoRR abs/2404.16115 (2024) - [i3]Yu-Lin Tsai, Yizhe Li, Zekai Chen, Po-Yu Chen, Chia-Mu Yu, Xuebin Ren, Francois Buet-Golfouse:
Differentially Private Fine-Tuning of Diffusion Models. CoRR abs/2406.01355 (2024) - [i2]Roberto Pagliari, Peter Hill, Po-Yu Chen, Maciej Dabrowny, Tingsheng Tan, Francois Buet-Golfouse:
A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence. CoRR abs/2407.12445 (2024) - 2023
- [c17]Francois Buet-Golfouse, Peter Hill
:
Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract). AAAI 2023: 16170-16171 - [c16]Francois Buet-Golfouse, Islam Utyagulov, Parth Pahwa, Peter Hill:
Turbo-Charging Deep Learning Methods for Partial Differential Equations. ICAIF 2023: 150-158 - [c15]Francois Buet-Golfouse, Nicholas William David Martin:
Lifting Volterra Diffusions via Kernel Decomposition. ICAIF 2023: 481-489 - [c14]Peter Hill, Francois Buet-Golfouse:
Decomposing Causality and Fairness. Tiny Papers @ ICLR 2023 - [c13]Nicholas William David Martin, Peter Hill, Tingsheng Tan, Francois Buet-Golfouse:
Sustainable Resource Management. Tiny Papers @ ICLR 2023 - [c12]Parth Pahwa, Kabir Thakur, Francois Buet-Golfouse:
Dynamic Human AI Collaboration. Tiny Papers @ ICLR 2023 - [c11]Islam Utyagulov, Francois Buet-Golfouse, Peter Hill:
Fairness Under Partial Observability. Tiny Papers @ ICLR 2023 - 2022
- [c10]Francois Buet-Golfouse, Hans Roggeman:
Numerical Approximations of Log Gaussian Cox Process (Student Abstract). AAAI 2022: 12923-12924 - [c9]Francois Buet-Golfouse, Parth Pahwa:
Robust Multi-Objective Reinforcement Learning with Dynamic Preferences. ACML 2022: 96-111 - [c8]Francois Buet-Golfouse, Islam Utyagulov:
Fairness Trade-Offs and Partial Debiasing. ACML 2022: 112-136 - [c7]Francois Buet-Golfouse, Islam Utyagulov:
Towards Fair Unsupervised Learning. FAccT 2022: 1399-1409 - [c6]Francois Buet-Golfouse, Hans Roggeman, Islam Utyagulov:
Robust Collaborative Learning for Sequence Modelling. ICASSP 2022: 1146-1150 - [c5]Francois Buet-Golfouse, Parth Pahwa:
Multi-Learning Generalised Low-Rank Models. ICMLA 2022: 860-865 - [c4]Francois Buet-Golfouse, Islam Utyagulov:
Towards Fair Multi-Stakeholder Recommender Systems. UMAP (Adjunct Publication) 2022: 255-265 - [c3]Francois Buet-Golfouse, Hans Roggeman, Islam Utyagulov:
Rayleigh Portfolios and Penalised Matrix Decomposition. WWW (Companion Volume) 2022: 579-582 - 2021
- [c2]Francois Buet-Golfouse:
Narrow Margins: Classification, Margins and Fat Tails. ICML 2021: 1127-1135 - [c1]Francois Buet-Golfouse, Islam Utyagulov:
Kernel Factorisation Machines. ICMLA 2021: 1755-1760 - 2020
- [i1]Ashrya Agrawal, Florian Pfisterer, Bernd Bischl, Jiahao Chen, Srijan Sood, Sameena Shah, Francois Buet-Golfouse, Bilal A. Mateen, Sebastian J. Vollmer:
Debiasing classifiers: is reality at variance with expectation? CoRR abs/2011.02407 (2020)
Coauthor Index
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