DataFunTalk
Apr 5, 2023 · Artificial Intelligence
Advances in Causal Representation Learning: From i.i.d. to Non‑Stationary Settings
This article reviews recent developments in causal representation learning, explaining why causal reasoning is essential, describing methods for i.i.d. data, time‑series, and multi‑distribution scenarios, and illustrating applications such as domain adaptation, video analysis, and financial data with numerous examples and visualizations.
causal discoverycausal inferencedomain adaptation
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