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01.05.2026

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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

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

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

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

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

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

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

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

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. To be published. Preprint available. arXiv GitHub

#research #top-tier-work #bischl #drton #feuerriegel #huellermeier #rauhut #rueckert #ruegamer

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