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cs.LG2025
Sparse Transformer Architectures via Regularized Wasserstein Proximal Operator with Prior
Fuqun Han, Stanley Osher, Wuchen Li
In this work, we propose a sparse transformer architecture that incorporates prior information about the underlying data distribution directly into the transformer structure of the…
stat.CO2025
Splitting Regularized Wasserstein Proximal Algorithms for Nonsmooth Sampling Problems
Fuqun Han, Stanley Osher, Wuchen Li
Sampling from nonsmooth target probability distributions is essential in various applications, including the Bayesian Lasso. We propose a splitting-based sampling algorithm for the…