Machine Learning — Hard
Key points
- Dropout approximates Bayesian inference in deep Gaussian Processes
- MC Dropout produces a distribution over predictions for uncertainty estimation
- No need for explicit Bayesian model specification
- Enables training and inference time approximation
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