Holger Rauhut
4 papers · 2020–2024 · 2 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π Cross-Pollinator (15) π Conference Polyglot (2) π§ Keyword Pioneer
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Conferences
NIPS (3)
ECCV (1)
Top co-authors
Keywords
statistical learning
(1)
stochastic gradient descent
(1)
temporal dynamics
(1)
uncertainty quantification
(1)
time series classification
(1)
high-dimensional learning
(1)
reservoir computing
(1)
network optimization
(1)
convergence rate
(1)
recurrent neural network
(1)
adam optimizer
(1)
confidence interval
(1)
feed-forward network
(1)
over-parameterized model
(1)
line search
(1)
green's function
(1)
recurrent network
(1)
nonmonotone optimization
(1)
perturbative method
(1)
concentration phenomenon
(1)
Papers
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
NIPS 2024
Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images
ECCV 2024
Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models
NIPS 2023
Unfolding recurrence by Greenβs functions for optimized reservoir computing
NIPS 2020