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math.OC2026
Efficient and provably convergent end-to-end training of deep neural networks with linear constraints
Zonglin Yang, Zhexuan Gu, Yancheng Yuan
Training a deep neural network with the outputs of selected layers satisfying linear constraints is required in many contemporary data-driven applications. While this can be achiev…
math.OC2025
HOT: An Efficient Halpern Accelerating Algorithm for Optimal Transport Problems
Guojun Zhang, Zhexuan Gu, Yancheng Yuan +1
This paper proposes an efficient HOT algorithm for solving the optimal transport (OT) problems with finite supports. We particularly focus on an efficient implementation of the HOT…