Marcelo Hartmann

According to our database, Marcelo Hartmann authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold.

Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Marcelo Hartmann, Arto Klami

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Riemannian Laplace Approximation with the Fisher Metric.

Hanlin Yu, Marcelo Hartmann, Bernardo Williams Moreno Sanchez, Mark Girolami, Arto Klami

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics.

Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami

Trans. Mach. Learn. Res., 2023

Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching.

Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami

J. Mach. Learn. Res., 2023

Warped geometric information on the optimisation of Euclidean functions.

Marcelo Hartmann, Bernardo Williams, Hanlin Yu, Mark Girolami, Alessandro Barp, Arto Klami

CoRR, 2023

Transformed Gaussian Processes for Characterizing a Model's Discrepancy.

Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Lagrangian manifold Monte Carlo on Monge patches.

Marcelo Hartmann, Mark Girolami, Arto Klami

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Flexible Prior Elicitation via the Prior Predictive Distribution.

Marcelo Hartmann, Georgi Agiashvili, Paul C. Bürkner, Arto Klami

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic student-t model.

Marcelo Hartmann, Jarno Vanhatalo

Stat. Comput., 2019

A Bernoulli autoregressive moving average model applied to rainfall occurrence.

Eder Angelo Milani, Marcelo Hartmann, Marinho Gomes Andrade, Carlos Alberto Ribeiro Diniz

Commun. Stat. Simul. Comput., 2019

Prior specification via prior predictive matching: Poisson matrix factorization and beyond.

Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami

CoRR, 2019

2017

Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo.

Marcelo Hartmann, Ricardo S. Ehlers

Commun. Stat. Simul. Comput., 2017