Debiasing classifiers: is reality at variance with expectation? - Ashrya Agrawal; Florian Pfisterer; Bernd Bischl; Jiahao Chen 001; Srijan Sood; Sameena Shah; Francois Buet-Golfouse; Bilal A. Mateen; Sebastian J. Vollmer (CoRR, 2020)

Narrow Margins: Classification, Margins and Fat Tails. - Francois Buet-Golfouse (ICML, 2021)

Kernel Factorisation Machines. - Francois Buet-Golfouse; Islam Utyagulov (ICMLA, 2021)

Numerical Approximations of Log Gaussian Cox Process (Student Abstract). - Francois Buet-Golfouse; Hans Roggeman (AAAI, 2022)

Robust Multi-Objective Reinforcement Learning with Dynamic Preferences. - Francois Buet-Golfouse; Parth Pahwa (ACML, 2022)

Fairness Trade-Offs and Partial Debiasing. - Francois Buet-Golfouse; Islam Utyagulov (ACML, 2022)

Towards Fair Unsupervised Learning. - Francois Buet-Golfouse; Islam Utyagulov (FAccT, 2022)

Robust Collaborative Learning for Sequence Modelling. - Francois Buet-Golfouse; Hans Roggeman; Islam Utyagulov (ICASSP, 2022)

Multi-Learning Generalised Low-Rank Models. - Francois Buet-Golfouse; Parth Pahwa (ICMLA, 2022)

Towards Fair Multi-Stakeholder Recommender Systems. - Francois Buet-Golfouse; Islam Utyagulov (UMAP (Adjunct Publication), 2022)

Rayleigh Portfolios and Penalised Matrix Decomposition. - Francois Buet-Golfouse; Hans Roggeman; Islam Utyagulov (WWW (Companion Volume), 2022)

Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract). - Francois Buet-Golfouse; Peter Hill (AAAI, 2023)

Lifting Volterra Diffusions via Kernel Decomposition. - Francois Buet-Golfouse; Nicholas William David Martin (ICAIF, 2023)

Turbo-Charging Deep Learning Methods for Partial Differential Equations. - Francois Buet-Golfouse; Islam Utyagulov; Parth Pahwa; Peter Hill (ICAIF, 2023)

Decomposing Causality and Fairness. - Peter Hill; Francois Buet-Golfouse (Tiny Papers @ ICLR, 2023)

Sustainable Resource Management. - Nicholas William David Martin; Peter Hill; Tingsheng Tan; Francois Buet-Golfouse (Tiny Papers @ ICLR, 2023)

Dynamic Human AI Collaboration. - Parth Pahwa; Kabir Thakur; Francois Buet-Golfouse (Tiny Papers @ ICLR, 2023)

Fairness Under Partial Observability. - Islam Utyagulov; Francois Buet-Golfouse; Peter Hill (Tiny Papers @ ICLR, 2023)

A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence. - Roberto Pagliari; Peter Hill; Po-Yu Chen; Maciej Dabrowny; Tingsheng Tan; Francois Buet-Golfouse (ECAI, 2024)

Online Personalizing White-box LLMs Generation with Neural Bandits. - Zekai Chen; Po-Yu Chen; Francois Buet-Golfouse (ICAIF, 2024)

Online Personalizing White-box LLMs Generation with Neural Bandits. - Zekai Chen; Weeden Daniel; Po-Yu Chen; Francois Buet-Golfouse (CoRR, 2024)

Differentially Private Fine-Tuning of Diffusion Models. - Yu-Lin Tsai; Yizhe Li; Zekai Chen; Po-Yu Chen; Chia-Mu Yu; Xuebin Ren; Francois Buet-Golfouse (CoRR, 2024)