Lukas Tatzel

According to our database1, Lukas Tatzel authored at least 6 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Position: Curvature Matrices Should Be Democratized via Linear Operators.
CoRR, January, 2025

Accelerating Non-Conjugate Gaussian Processes By Trading Off Computation For Uncertainty.
Trans. Mach. Learn. Res., 2025

Debiasing Mini-Batch Quadratics for Applications in Deep Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Reparameterization invariance in approximate Bayesian inference.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
ViViT: Curvature Access Through The Generalized Gauss-Newton's Low-Rank Structure.
Trans. Mach. Learn. Res., 2023

Accelerating Generalized Linear Models by Trading off Computation for Uncertainty.
CoRR, 2023


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