Provably convergent algorithm for free-support Wasserstein barycenter of continuous non-parametric measures
We propose a provably convergent algorithm for approximating the Wasserstein barycenter of continuous and non-parametric probability measures. Our algorithm is inspired by the fixed-point scheme of Alvarez-Esteban, Del Barrio, Cuesta-Albertos, and Matran (2016), which begins with an initial referenc...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/175550 |