Great Causality & ML Papers and Researchers – Blog (logangraham.xyz)
tl;dr : the ideas we need to build intelligent systems may be different from those we need to understand them. Both are important, but…
a powerful tool for establishing [ causality ]
Abstraction is lossy [ compression ]. A good abstraction throws away everything not relevant to a particular problem, while preserving a…
How do we infer [ causality ] from observational data? This question is important in science and is closely related to the progress of…
One way to model real-world [ causality ] is a bunch of forces working with and against each other. In this view, no individual force…
Fundamentally, where does generalization come from? [ causality ]: a model may generalize because it has discovered the true mechanism, or…
Fundamental observation is that [ the map is not the territory ]. BUT---there is a real and important distinction between models that are…