Concepedia

Frederik Künstner

FK

4

Publications

99

Citations

4

H-Index

2018

Active since

Affiliations

Max Planck Society(Current)

University of British Columbia

Frederik Künstner is an author at Max Planck Society specializing in data science, engineering, and machine learning.

Top concepts

EngineeringData ScienceMachine LearningSupervised LearningStatisticsComputer ScienceApproximation TheoryStatistical InferenceStochastic OptimizationDeep Learning

Publications per year

2018–2021

4

Publications

4

Limitations of the Empirical Fisher Approximation for Natural Gradient Descent

Frederik Künstner · arXiv (Cornell University) · 2019 · 40 citations · Full text

Model Optimization, Gradient Descent Update, Empirical Fisher +13

SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient

Aaron Mishkin, Frederik Künstner, Didrik Nielsen et al. · arXiv (Cornell University) · 2018 · 27 citations · Full text

Structured Prediction, Engineering, Machine Learning +16

Limitations of the Empirical Fisher Approximation.

Frederik Künstner, Lukas Balles, Philipp Hennig · arXiv (Cornell University) · 2019 · 18 citations · Full text

Model Optimization, Gradient Descent Update, Empirical Fisher +14

Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)

Sharan Vaswani, Issam Laradji, Frederik Künstner et al. · 2021 · 14 citations

Numerical Analysis, Mathematical Programming, Engineering +16

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