3 papers
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…
cs.LG2026
Active Flow Matching
Yashvir S. Grewal, Daniel M. Steinberg, Thang D. Bui +2
Discrete diffusion and flow matching models capture complex, non-additive and non-autoregressive structure in high-dimensional objective landscapes through parallel, iterative refi…
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…