Chris van der Heide
6 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Deep Learning
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core Methods
(2)
Models
(2)
Optimization
(2)
Architectures
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
gaussian process
(2)
neural tangent kernel
(2)
model misspecification
(1)
density estimation
(1)
uncertainty quantification
(1)
markov chain monte carlo
(1)
marginal likelihood
(1)
importance sampling
(1)
hamiltonian monte carlo
(1)
hyperparameter tuning
(1)
riemannian manifold
(1)
latent variable
(1)
stochastic differential equation
(1)
scaling law
(1)
activation function
(1)
rough path theory
(1)
bayesian deep learning
(1)
adjoint method
(1)
temperature scaling
(1)
covariance function
(1)
Papers
Determinant Estimation under Memory Constraints and Neural Scaling Laws
ICML 2025
Temperature Optimization for Bayesian Deep Learning
UAI 2025
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
ICML 2023
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
AAAI 2021
Shadow Manifold Hamiltonian Monte Carlo
AISTATS 2021
Stochastic continuous normalizing flows: training SDEs as ODEs
UAI 2021