Loss spike | loss spike is very common in training large models. Its cause is related to the gradient update amplitude, the epsilon parameter in adam, and the batch size. Compared with the traditional backtracking to the previous checkpoint, change a batch of data. Spike & slab, as far as I know, can be used to select variables. The idea is very clever, but very easy to understand. What do spike and slab mean? It is the shape of the prior distribution of the parameters in the regression model. The prior distribution mentioned here means. What does sample spike mean? In biomedical research, sample spikes can be used to more accurately assess the reliability and precision of experiments. A sample spike is a compound at a known concentration and amount added to the sample to be tested.
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