The ENDS of assumptions: an online tool for the epistemic non-parametric drug-response scoring. - Ali Amiryousefi; Bernardo Williams; Mohieddin Jafari; Jing Tang 002 (Bioinform., 2022)

Warped geometric information on the optimisation of Euclidean functions. - Marcelo Hartmann; Bernardo Williams; Hanlin Yu; Mark Girolami; Alessandro Barp; Arto Klami (CoRR, 2023)

Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics. - Hanlin Yu; Marcelo Hartmann; Bernardo Williams; Arto Klami (Trans. Mach. Learn. Res., 2023)

Riemannian Laplace Approximation with the Fisher Metric. - Hanlin Yu; Marcelo Hartmann; Bernardo Williams Moreno Sanchez; Mark Girolami; Arto Klami (AISTATS, 2024)

Non-geodesically-convex optimization in the Wasserstein space. - Hoang Phuc Hau Luu; Hanlin Yu; Bernardo Williams; Petrus Mikkola; Marcelo Hartmann; Kai Puolamäki; Arto Klami (NeurIPS, 2024)

Geometric No-U-Turn Samplers: Concepts and Evaluation. - Bernardo Williams; Hanlin Yu; Marcelo Hartmann; Arto Klami (PGM, 2024)

Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold. - Hoang Phuc Hau Luu; Hanlin Yu; Bernardo Williams; Marcelo Hartmann; Arto Klami (ICLR, 2025)

Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature. - Bernardo Williams; Hanlin Yu; Hoang Phuc Hau Luu; Georgios Arvanitidis; Arto Klami (UAI, 2025)