Zheyang Shen

11 papers A* 1A 4Journal 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Gaussian Processes with Bayesian Inference of Covariate Couplings.
Trans. Mach. Learn. Res.
Mattia Rosso, Juho Ylä-Jääski, Zheyang Shen, Markus Heinonen, Maurizio Filippone
2025 A conf
Prediction-Centric Uncertainty Quantification via MMD.
AISTATS
Zheyang Shen, Jeremias Knoblauch, Samuel Power, Chris J. Oates
2024 J jnl
Operator-informed score matching for Markov diffusion models.
CoRR
Zheyang Shen, Chris J. Oates
2021 A* conf
De-randomizing MCMC dynamics with the diffusion Stein operator.
NeurIPS
Zheyang Shen, Markus Heinonen, Samuel Kaski
2021 J jnl
De-randomizing MCMC dynamics with the diffusion Stein operator.
CoRR
Zheyang Shen, Markus Heinonen, Samuel Kaski
2021 A conf
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations.
AISTATS
Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone
2020 A conf
Learning spectrograms with convolutional spectral kernels.
AISTATS
Zheyang Shen, Markus Heinonen, Samuel Kaski
2020 J jnl
Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations.
CoRR
Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone
2019 A conf
Harmonizable mixture kernels with variational Fourier features.
AISTATS
Zheyang Shen, Markus Heinonen, Samuel Kaski
2019 J jnl
Learning spectrograms with convolutional spectral kernels.
CoRR
Zheyang Shen, Markus Heinonen, Samuel Kaski
2018 J jnl
Harmonizable mixture kernels with variational Fourier features.
CoRR
Zheyang Shen, Markus Heinonen, Samuel Kaski