Ikuti
Marcelo Hartmann
Judul
Dikutip oleh
Dikutip oleh
Tahun
Prior knowledge elicitation: The past, present, and future; 2021
P Mikkola, OA Martin, S Chandramouli, M Hartmann, OA Pla, O Thomas
77*
Estudo das precipitações máximas anuais em Presidente Prudente
M Hartmann, FA Moala, MA Mendonça
Revista Brasileira de Meteorologia 26, 561-568, 2011
542011
Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data
J Vanhatalo, M Hartmann, L Veneranta
29*2020
Laplace approximation and the natural gradient for Gaussian process regression with the heteroscedastic Student-t model
M Hartmann, J Vanhatalo
Statistics and Computing 29, 753-773, 2019
262019
Flexible prior elicitation via the prior predictive distribution
M Hartmann, G Agiashvili, P Bürkner, A Klami
Conference on Uncertainty in Artificial Intelligence, 1129-1138, 2020
212020
Lagrangian Manifold Monte Carlo on Monge Patches
M Hartmann, M Girolami, A Klami
Proceedings of The 25th International Conference on Artificial Intelligence …, 2022
122022
Gaussian process framework for temporal dependence and discrepancy functions in Ricker-type population growth models
M Hartmann, GR Hosack, RM Hillary, J Vanhatalo
102017
Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo
M Hartmann, RS Ehlers
Communications in Statistics-Simulation and Computation 46 (7), 5285-5302, 2017
102017
Prior specification via prior predictive matching: Poisson matrix factorization and beyond
ES da Silva, T Kuśmierczyk, M Hartmann, A Klami
Journal of Machine Learning Research (JMLR) arXiv preprint arXiv: 1910.12263, 2019
9*2019
Riemannian Laplace Approximation with the Fisher Metric
H Yu, M Hartmann, B Williams, M Girolami, A Klami
AISTATS 2024 (arXiv preprint arXiv:2311.02766), 2023
42023
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics
H Yu, M Hartmann, B Williams, A Klami
Transactions on Machine Learning Research (TLMR), 2023
42023
Extending Owen's integral table and a new multivariate Bernoulli distribution
M Hartmann
arXiv preprint arXiv:1704.04736, 2017
42017
A Bernoulli autoregressive moving average model applied to rainfall occurrence
E Angelo Milani, M Hartmann, MG Andrade, CA Ribeiro Diniz
Communications in Statistics-Simulation and Computation 48 (9), 2743-2756, 2019
32019
Non-geodesically-convex optimization in the Wasserstein space
H Phuc Hau Luu, H Yu, B Williams, P Mikkola, M Hartmann, K Puolamäki, ...
arXiv e-prints, arXiv: 2406.00502, 2024
2*2024
Approximate Bayesian inference in multivariate Gaussian process regression and applications to species distribution models
M Hartmann
PhD thesis, University of Helsinki, 2019
12019
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
HPH Luu, H Yu, B Williams, M Hartmann, A Klami
arXiv preprint arXiv:2410.02490, 2024
2024
Geometric No-U-Turn Samplers: Concepts and Evaluation
B Williams, H Yu, M Hartmann, A Klami
12th International Conference on Probabilistic Graphical Models (PGM), 327-347, 2024
2024
Approximate natural gradient in Gaussian processes with non-log-concave likelihoods
M Hartmann
ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 2024
2024
Transformed Gaussian Processes for Characterizing a Model's Discrepancy
A Nioche, V Tanskanen, M Hartmann, A Klami
Asian Conference on Machine Learning 15, 2023
2023
Warped geometric information on the optimisation of Euclidean functions
M Hartmann, B Williams, H Yu, M Girolami, A Barp, A Klami
arXiv preprint arXiv:2308.08305, 2023
2023
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