Zheyang Shen
5 papers · 2019–2025 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🐣
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Keywords
markov chain monte carlo
(3)
variational inference
(3)
kernel methods
(2)
non-stationary kernel
(2)
gaussian process
(2)
bayesian inference
(2)
approximate bayesian inference
(1)
mixture distribution
(1)
gradient flow
(1)
spectral representation
(1)
stein variational gradient descent
(1)
inducing variable
(1)
deep gaussian process
(1)
stochastic gradient hamiltonian monte carlo
(1)
convolutional spectral kernel
(1)
mcmc dynamics
(1)
particle sampler
(1)
model misspecification
(1)
uncertainty quantification
(1)
diffusion process
(1)
Papers
Prediction-Centric Uncertainty Quantification via MMD
AISTATS 2025
De-randomizing MCMC dynamics with the diffusion Stein operator
NeurIPS 2021
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations
AISTATS 2021
Learning spectrograms with convolutional spectral kernels
AISTATS 2020
Harmonizable mixture kernels with variational Fourier features
AISTATS 2019