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