Johannes Schmidt-Hieber
4 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (10) πΊοΈ Taxonomy Completionist (10)
π
Keyword Champion
(2)
Conferences
JMLR (2)
AISTATS (1)
NIPS (1)
Top co-authors
Keywords
posterior contraction
(2)
gaussian process
(1)
gradient descent
(1)
nonparametric regression
(1)
bayesian regression
(1)
linear regression
(1)
l2 regularization
(1)
gaussian process prior
(1)
dropout regularization
(1)
minimax rate
(1)
information-theoretic lower bound
(1)
deep gaussian process
(1)
minimax convergence rate
(1)
least squares estimator
(1)
bayesian nonparametrics
(1)
compositional function
(1)
Papers
Understanding the Effect of GCN Convolutions in Regression Tasks
AISTATS 2025
Dropout Regularization Versus l2-Penalization in the Linear Model
JMLR 2024
Posterior Contraction for Deep Gaussian Process Priors
JMLR 2023
On the inability of Gaussian process regression to optimally learn compositional functions
NIPS 2022