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04/17/2023
Deep Neural Network Approximation of Composition Functions: with application to PINNs
In this paper, we focus on approximating a natural class of functions th...
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09/18/2021
Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly
Recovering sparse signals from observed data is an important topic in si...
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07/10/2021
Convergence Analysis of Schrödinger-Föllmer Sampler without Convexity
Schrödinger-Föllmer sampler (SFS) is a novel and efficient approach for ...
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06/21/2021
Schrödinger-Föllmer Sampler: Sampling without Ergodicity
Sampling from probability distributions is an important problem in stati...
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03/24/2021
Convergence Rate Analysis for Deep Ritz Method
Using deep neural networks to solve PDEs has attracted a lot of attentio...
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03/03/2014
