Multimodal Distributions
The discussion dives into the challenges of gradient descent in multimodal spaces, highlighting its tendency to get trapped in local optima. Rob explains the complexities of high-dimensional probability distributions, emphasizing that the mass of these distributions often resides in thin shells rather than at the peaks. This insight reveals the limitations of relying solely on modes to describe such distributions, especially from a Bayesian perspective.In this clip
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