Great stock or climate change indicator?

I propose to gather a collection of sock price histories and various indicators of climate change (temperatures, CO2 levels, etc.) and anonymize their labels. These would be used to create a game or prediction market so that the players would be... continue reading

Brief Ideas for the Data Science at LHC Workshop 2015

The Data Science @ LHC workshop was a resounding success. We do not plan to have traditional proceedings tied to individual talks, but we do want to capture the ideas that were generated during the workshop. With that in mind, we want to try... continue reading

Create standalone simulation tools to facilitate collaboration between HEP and machine learning community

Discussions at recent workshops have made it clear that one of the key barriers to collaboration between high energy physics and the machine learning community is access to training data. Recent successes in data sharing through the... continue reading

Unifying generative models and exact likelihood-free inference with conditional bijections

Recent work in density estimation uses a bijection $f : X \to Z$ (e.g. an invertible flow or autoregressive model) and a tractable density $p(z)$ (e.g. [1]... continue reading

Recasting through reweighting

Recasting refers to reinterpreting the results of searches for new particles or standard model measurements in the context of different theoretical modelsĀ [1]. The fundamental task is to replace the... continue reading

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