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stat.ML2026
Beyond ReinMax: Low-Variance Gradient Estimators for Discrete Latent Variables
Daniel Wang, Thang D. Bui
Machine learning models involving discrete latent variables require gradient estimators to facilitate backpropagation in a computationally efficient manner. The most recent additio…
stat.ML2025
Tighter sparse variational Gaussian processes
Thang D. Bui, Matthew Ashman, Richard E. Turner
Sparse variational Gaussian process (GP) approximations based on inducing points have become the de facto standard for scaling GPs to large datasets, owing to their theoretical ele…