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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.

Skellam distribution

Squared exponential kernel

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.

The euro: how a common currency threatens the future of Europe

Placeholder.

Stochastic weight averaging

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.

The stream is a transaction log

Each patch event is an assertion. The stream is an append-only log. The final object is a materialized view.

The Dirichlet distribution

Is it to proportions what Multinomial is to number in categories? Interpretation Let us consider an urn with K different colors.

The Graph

How the graph is built The core elements are the =Op=\s{=latex}.

The probability monad

Measures are a type constructor \mathbb{M}\operatorname{T}.

The Sicilian defense

Variations Najdorf variation Dragon variation .