[FRIAM] Weighted Ensemble

[Jon Zingale]

I am presently working on learning weighted ensemble
<https://arxiv.org/pdf/1906.00856.pdf> sampling techniques and was curious
if any here have worked with them before. The technique seems promising and
has enjoyed quite a bit of success (even above MCMC
<https://en.wikipedia.org/wiki/Markov_chain_Monte_Carlo>) in circles
concerned with reaction rates for rare events.

Some points of interest for me include:

   1. A better sampling of fringe-outlier works/art from streaming services.
   2. An alternative (bin-based sampling) to globally defined "fitness"
   measures in evolutionary modeling.
   3. An application of diffusion-limited aggregation to general search
   (especially in the face of limited resources)
   4. An application of linear logic to optimization problems in conformation
   prediction <https://en.wikipedia.org/wiki/Protein_structure_prediction>.
   5. Investigation of dynamical properties, such as distribution of
   trajectories with "high winding number", on strange attractors.


While I am just beginning to grok the technique, I thought it might be
fruitful to ask here.

Jon
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