Shen, Zheyang

6 publications

TMLR 2025 Gaussian Processes with Bayesian Inference of Covariate Couplings Mattia Rosso, Juho Ylä-Jääski, Zheyang Shen, Markus Heinonen, Maurizio Filippone

AISTATS 2025 Prediction-Centric Uncertainty Quantification via MMD Zheyang Shen, Jeremias Knoblauch, Samuel Power, Chris J. Oates

AISTATS 2021 Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations Simone Rossi, Markus Heinonen, Edwin Bonilla, Zheyang Shen, Maurizio Filippone

NeurIPS 2021 De-Randomizing MCMC Dynamics with the Diffusion Stein Operator Zheyang Shen, Markus Heinonen, Samuel Kaski

AISTATS 2020 Learning Spectrograms with Convolutional Spectral Kernels Zheyang Shen, Markus Heinonen, Samuel Kaski

AISTATS 2019 Harmonizable Mixture Kernels with Variational Fourier Features Zheyang Shen, Markus Heinonen, Samuel Kaski