Stefan Webb

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 9

Top Topics

Bayesian Learning

Expectation Propagation

Generative Model

Top Venues

J. Mach. Learn. Res.

Publications

Ben Chamberlain, James Rowbottom, Maria I. Gorinova, Michael M. Bronstein, Stefan Webb, Emanuele Rossi
GRAND: Graph Neural Diffusion. ICML (2021)
Benjamin Paul Chamberlain, James Rowbottom, Maria I. Gorinova, Stefan Webb, Emanuele Rossi, Michael M. Bronstein
GRAND: Graph Neural Diffusion. CoRR (2021)
Benjie Wang, Stefan Webb, Tom Rainforth
Statistically robust neural network classification. UAI (2021)
Benjie Wang, Stefan Webb, Tom Rainforth
Statistically Robust Neural Network Classification. CoRR (2019)
Stefan Webb, Tom Rainforth, Yee Whye Teh, M. Pawan Kumar
A Statistical Approach to Assessing Neural Network Robustness. ICLR (Poster) (2019)
Stefan Webb, Adam Golinski, Robert Zinkov, Siddharth Narayanaswamy, Tom Rainforth, Yee Whye Teh, Frank Wood
Faithful Inversion of Generative Models for Effective Amortized Inference. NeurIPS (2018)
Stefan Webb, Tom Rainforth, Yee Whye Teh, M. Pawan Kumar
A Statistical Approach to Assessing Neural Network Robustness. CoRR (2018)
Leonard Hasenclever, Stefan Webb, Thibaut Lienart, Sebastian J. Vollmer, Balaji Lakshminarayanan, Charles Blundell, Yee Whye Teh
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server. J. Mach. Learn. Res. 18 (2017)
Stefan Webb, Adam Golinski, Robert Zinkov, N. Siddharth, Yee Whye Teh, Frank D. Wood
Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference. CoRR (2017)
Yee Whye Teh, Leonard Hasenclever, Thibaut Lienart, Sebastian J. Vollmer, Stefan Webb, Balaji Lakshminarayanan, Charles Blundell
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server. CoRR (2015)