01.05.2026
MCML at AISTATS 2026
Nine Accepted Papers (7 Main, and 2 Workshops)
29th International Conference on Artificial Intelligence and Statistics, Tangier, Morocco, May 02-05, 2026
We are happy to announce that MCML researchers have contributed a total of 9 papers to AISTATS 2026: 7 Main, and 2 Workshop papers. Congrats to our researchers!
Main Track (7 papers)
E. M. Achour • K. Kohn • H. Rauhut
The Riemannian Geometry associated to Gradient Flows of Linear Convolutional Networks.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. To be published. Preprint available. arXiv
The Riemannian Geometry associated to Gradient Flows of Linear Convolutional Networks.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. To be published. Preprint available. arXiv
F. Bleile • S. Lumpp • M. Drton
Efficient Learning of Stationary Diffusions with Stein-type Discrepancies.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. To be published. Preprint available. arXiv
Efficient Learning of Stationary Diffusions with Stein-type Discrepancies.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. To be published. Preprint available. arXiv
J. Kobialka • E. Sommer • J. Kwon • D. Dold • D. Rügamer
On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. Spotlight Presentation. To be published. URL
On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. Spotlight Presentation. To be published. URL
V. Melnychuk • D. Frauen • J. Schweisthal • S. Feuerriegel
Orthogonal Representation Learning for Estimating Causal Quantities.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. Oral Presentation. To be published. Preprint available. arXiv
Orthogonal Representation Learning for Estimating Causal Quantities.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. Oral Presentation. To be published. Preprint available. arXiv
T. Mortier • A. Javanmardi • Y. Sale • E. Hüllermeier • W. Waegeman
Conformal Prediction in Hierarchical Classification with Constrained Representation Complexity.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. To be published. Preprint available. arXiv
Conformal Prediction in Hierarchical Classification with Constrained Representation Complexity.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. To be published. Preprint available. arXiv
T. Pielok • B. Bischl • D. Rügamer
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. To be published. Preprint available. arXiv
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. To be published. Preprint available. arXiv
R. Schulte • D. Rügamer
Rethinking Intrinsic Dimension Estimation in Neural Representations.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. To be published. URL
Rethinking Intrinsic Dimension Estimation in Neural Representations.
AISTATS 2026 - 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. To be published. URL
Workshops (2 papers)
E. Sommer • R. Schulte • S. Deubner • J. Kobialka • D. Rügamer
Towards E-Value Based Stopping Rules for Bayesian Deep Ensembles.
OPTIMAL @AISTATS 2026 - Workshop on Optimisation and Post-Bayesian Inference in Machine Learning at the 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. To be published. Preprint available. arXiv GitHub
Towards E-Value Based Stopping Rules for Bayesian Deep Ensembles.
OPTIMAL @AISTATS 2026 - Workshop on Optimisation and Post-Bayesian Inference in Machine Learning at the 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. To be published. Preprint available. arXiv GitHub
M. Schlager • E. Sommer • T. Möllenhoff • D. Rügamer
Guiding Posterior Exploration with Optimizer-Derived Geometry.
OPTIMAL @AISTATS 2026 - Workshop on Optimisation and Post-Bayesian Inference in Machine Learning at the 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. GitHub
Guiding Posterior Exploration with Optimizer-Derived Geometry.
OPTIMAL @AISTATS 2026 - Workshop on Optimisation and Post-Bayesian Inference in Machine Learning at the 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. GitHub
Related
16.09.2026
Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI
MCML PI Vincent Fortuin receives an ERC Starting Grant for AutoBayes, advancing reliable AI methods for learning from small datasets.
