Yu, Hanlin

10 publications

NeurIPS 2025 Connecting Neural Models Latent Geometries with Relative Geodesic Representations Hanlin Yu, Berfin Inal, Georgios Arvanitidis, Søren Hauberg, Francesco Locatello, Marco Fumero

ICML 2025 Density Ratio Estimation with Conditional Probability Paths Hanlin Yu, Arto Klami, Aapo Hyvarinen, Anna Korba, Omar Chehab

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

ICLR 2025 Stochastic Variance-Reduced Gaussian Variational Inference on the Bures-Wasserstein Manifold Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Marcelo Hartmann, Arto Klami

NeurIPSW 2024 Connecting Neural Models Latent Geometries with Relative Geodesic Representations Hanlin Yu, Berfin Inal, Marco Fumero

NeurIPSW 2024 Connecting Neural Models Latent Geometries with Relative Geodesic Representations Hanlin Yu, Berfin Inal, Marco Fumero

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

NeurIPS 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

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

TMLR 2023 Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami