Inverse Problems
Bayesian optimization is a probabilistic model-based optimization technique that is particularly effective for optimizing expensive, noisy, or unknown objective functions. It works by building a surrogate model of the objective function and using it to make decisions about where to sample next, balancing exploration and exploitation to find the optimal solution efficiently.
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