Penalising model component complexity: A principled, practical approach to constructing priors
Summary The authors introduce a new methodology to design priors for models with a nested structure, i.e.
Last 10 notes on The typical set
Summary The authors introduce a new methodology to design priors for models with a nested structure, i.e.
The squared exponential kernel defines a stationary gaussian process and results in a smooth prior over the space of functions that can be sampled from the gaussian process.
Placeholder.
Stochastic Weight Averaging Drop-in replacements for SGD (or other optimizers); Finds flat surfaces of the loss surfaces The idea is that there is no gradient information inside flat regions for SGD to explore, so SGD will explore around these regions.
Each patch event is an assertion. The stream is an append-only log. The final object is a materialized view.
Is it to proportions what Multinomial is to number in categories? Interpretation Let us consider an urn with K different colors.
How the graph is built The core elements are the =Op=\s{=latex}.
Measures are a type constructor \mathbb{M}\operatorname{T}.
Variations Najdorf variation Dragon variation .