🤖Reddit r/MachineLearning•Stalecollected in 37h
Notation for Contextual Inference in Prob Models
💡New notation makes context explicit in Bayesian ML inference
⚡ 30-Second TL;DR
What Changed
Notation D ⊙ M(ψ) for observations D with model context M(ψ)
Why It Matters
Enhances model transparency and composability in complex ML pipelines by making context explicit.
What To Do Next
Read the short paper and comment on Reddit for ML theory feedback.
Who should care:Researchers & Academics
Key Points
- •Notation D ⊙ M(ψ) for observations D with model context M(ψ)
- •Explicitly includes calibration params, assumptions, priors
- •Links to Bayesian inversion, Markov kernels, categorical probability
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Original source: Reddit r/MachineLearning ↗
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