Hartmann, Marcelo

10 publications

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

ICMLW 2024 Approximate Natural Gradient in Gaussian Processes with Non-Log-Concave Likelihoods Marcelo Hartmann

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

JMLR 2023 Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching Eliezer de Souza da Silva, Tomasz Kuśmierczyk, Marcelo Hartmann, Arto Klami

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

ACML 2023 Transformed Gaussian Processes for Characterizing a Model’s Discrepancy Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami

AISTATS 2022 Lagrangian Manifold Monte Carlo on Monge Patches Marcelo Hartmann, Mark Girolami, Arto Klami

UAI 2020 Flexible Prior Elicitation via the Prior Predictive Distribution Marcelo Hartmann, Georgi Agiashvili, Paul Bürkner, Arto Klami