Marcelo Hartmann
9 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
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Unstoppable · Bronze
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bayesian inference
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markov chain monte carlo
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prior predictive distribution
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gaussian process
(2)
variational inference
(2)
riemannian metric
(2)
sampling algorithm
(2)
matrix factorization
(1)
laplace approximation
(1)
statistical inference
(1)
riemannian geometry
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bayesian sampling
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nonparametric regression
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multi-class classification
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prior distribution
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optimal transport
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prior predictive
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sampling efficiency
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monte carlo sampling
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hyperparameter optimization
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Papers
Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classification
UAI 2026
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
ICLR 2025
Geometric No-U-Turn Samplers: Concepts and Evaluation
PGM 2024
Non-geodesically-convex optimization in the Wasserstein space
NeurIPS 2024
Riemannian Laplace Approximation with the Fisher Metric
AISTATS 2024
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching
JMLR 2023
Transformed Gaussian Processes for Characterizing a Model’s Discrepancy
ACML 2023
Lagrangian manifold Monte Carlo on Monge patches
AISTATS 2022
Flexible Prior Elicitation via the Prior Predictive Distribution
UAI 2020