Versatile and Scalable Sampling via Geometric Methods, Optimization, and Numerical Analysis
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This project considers a core computational problem, namely, how to draw samples from a high-dimensional probability distribution. Being a fundamental task in science and engineering, the sampling problem involves generating representative examples of a stochastic object, and the ability to do so enables the modeling, simulation, and inference…
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