About Xiaofeng Xu Xiaofeng Xu Ph.D. Student, Applied Mathematics and Computational Science Events Presented Events Jul 13 - Jul 19, 2025 Randomized Greedy Algorithms for Neural Network Optimization in Solving Partial Differential Equations Xiaofeng Xu, Ph.D. Student, Applied Mathematics and Computational Science Jul 15, 17:00 - 19:00 B4 L5 R5220 PDEs optimization machine learning randomized orthogonal greedy algorithm This thesis introduces the randomized orthogonal greedy algorithm (ROGA) to bridge the gap between theoretical and practical performance of shallow neural networks for solving partial differential equations by overcoming key optimization challenges to achieve provably optimal convergence rates.
Randomized Greedy Algorithms for Neural Network Optimization in Solving Partial Differential Equations Xiaofeng Xu, Ph.D. Student, Applied Mathematics and Computational Science Jul 15, 17:00 - 19:00 B4 L5 R5220 PDEs optimization machine learning randomized orthogonal greedy algorithm This thesis introduces the randomized orthogonal greedy algorithm (ROGA) to bridge the gap between theoretical and practical performance of shallow neural networks for solving partial differential equations by overcoming key optimization challenges to achieve provably optimal convergence rates.
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