Marcelo Hartmann

23 papers A* 2A 3C 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process. CoRR Bernardo Williams, Harsha Vardhan Tetali, Arto Klami, Marcelo Hartmann
2025	J	`jnl`	Geometric Moment Alignment for Domain Adaptation via Siegel Embeddings. CoRR Shayan Gharib, Marcelo Hartmann, Arto Klami
2025	J	`jnl`	Learning geometry and topology via multi-chart flows. CoRR Hanlin Yu, Søren Hauberg, Marcelo Hartmann, Arto Klami, Georgios Arvanitidis
2025	J	`jnl`	Simplex-to-Euclidean Bijections for Categorical Flow Matching. CoRR Bernardo Williams, Victor M. Yeom-Song, Marcelo Hartmann, Arto Klami
2025	A*	`conf`	Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold. ICLR Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Marcelo Hartmann, Arto Klami
2024	—	`conf`	Geometric No-U-Turn Samplers: Concepts and Evaluation. PGM Bernardo Williams, Hanlin Yu, Marcelo Hartmann, Arto Klami
2024	A*	`conf`	Non-geodesically-convex optimization in the Wasserstein space. NeurIPS Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami
2024	J	`jnl`	Non-geodesically-convex optimization in the Wasserstein space. CoRR Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami
2024	A	`conf`	Riemannian Laplace Approximation with the Fisher Metric. AISTATS Hanlin Yu, Marcelo Hartmann, Bernardo Williams Moreno Sanchez, Mark Girolami, Arto Klami
2024	J	`jnl`	Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold. CoRR Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Marcelo Hartmann, Arto Klami
2023	J	`jnl`	Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching. J. Mach. Learn. Res. Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami
2023	J	`jnl`	Riemannian Laplace Approximation with the Fisher Metric. CoRR Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Mark Girolami, Arto Klami
2023	J	`jnl`	Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics. CoRR Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami
2023	J	`jnl`	Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics. Trans. Mach. Learn. Res. Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami
2023	C	`conf`	Transformed Gaussian Processes for Characterizing a Model's Discrepancy. ACML Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami
2023	J	`jnl`	Warped geometric information on the optimisation of Euclidean functions. CoRR Marcelo Hartmann, Bernardo Williams, Hanlin Yu, Mark Girolami, Alessandro Barp, Arto Klami
2022	J	`jnl`	Lagrangian Manifold Monte Carlo on Monge Patches. CoRR Marcelo Hartmann, Mark Girolami, Arto Klami
2022	A	`conf`	Lagrangian manifold Monte Carlo on Monge patches. AISTATS Marcelo Hartmann, Mark Girolami, Arto Klami
2020	A	`conf`	Flexible Prior Elicitation via the Prior Predictive Distribution. UAI Marcelo Hartmann, Georgi Agiashvili, Paul C. Bürkner, Arto Klami
2019	J	`jnl`	A Bernoulli autoregressive moving average model applied to rainfall occurrence. Commun. Stat. Simul. Comput. Eder Angelo Milani, Marcelo Hartmann, Marinho Gomes Andrade, Carlos Alberto Ribeiro Diniz
2019	J	`jnl`	Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic student-t model. Stat. Comput. Marcelo Hartmann, Jarno Vanhatalo
2019	J	`jnl`	Prior specification via prior predictive matching: Poisson matrix factorization and beyond. CoRR Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami
2017	J	`jnl`	Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo. Commun. Stat. Simul. Comput. Marcelo Hartmann, Ricardo S. Ehlers