Lukas Tatzel

According to our database¹, Lukas Tatzel authored at least 4 papers between 2023 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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Bibliography

2024

Debiasing Mini-Batch Quadratics for Applications in Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Reparameterization invariance in approximate Bayesian inference.

[BibT_eX]

[DOI]

CoRR, 2024

2023

ViViT: Curvature Access Through The Generalized Gauss-Newton's Low-Rank Structure.

[BibT_eX]

[DOI]

Felix Dangel

Lukas Tatzel

Philipp Hennig

Trans. Mach. Learn. Res., 2023

Accelerating Generalized Linear Models by Trading off Computation for Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2023

Lukas Tatzel

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