Tatzel, Lukas

5 publications

TMLR 2025 Accelerating Non-Conjugate Gaussian Processes by Trading Off Computation for Uncertainty Lukas Tatzel, Jonathan Wenger, Frank Schneider, Philipp Hennig

ICLR 2025 Debiasing Mini-Batch Quadratics for Applications in Deep Learning Lukas Tatzel, Bálint Mucsányi, Osane Hackel, Philipp Hennig

NeurIPS 2024 Reparameterization Invariance in Approximate Bayesian Inference Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg

TMLR 2023 ViViT: Curvature Access Through the Generalized Gauss-Newton’s Low-Rank Structure Felix Dangel, Lukas Tatzel, Philipp Hennig

NeurIPSW 2022 Late-Phase Second-Order Training Lukas Tatzel, Philipp Hennig, Frank Schneider