| 2025 | ICML | SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training. | Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds |
| 2022 | UAI | Capturing actionable dynamics with structured latent ordinary differential equations. | Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao |
| 2019 | ICLR | Deterministic Variational Inference for Robust Bayesian Neural Networks. | Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, Jos Miguel Hernndez-Lobato, Alexander L. Gaunt |
| 2019 | ICML | Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems. | Geoffrey Roeder, Paul K. Grant, Andrew Phillips, Neil Dalchau, Edward Meeds |
| 2017 | ICLR | Soft Weight-Sharing for Neural Network Compression. | Karen Ullrich, Edward Meeds, Max Welling |
| 2015 | UAI | Hamiltonian ABC. | Edward Meeds, Robert Leenders, Max Welling |
| 2014 | UAI | GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation. | Edward Meeds, Max Welling |
| 2008 | CVPR | Learning stick-figure models using nonparametric Bayesian priors over trees. | Edward Meeds, David A. Ross, Richard S. Zemel, Sam T. Roweis |