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→One-Dimensional Function Mapping
</math>
</math>
Among them,<math>\epsilon</math> and <math>\delta</math> represent the magnitude of observation noise and intervention noise, respectively.-->This kind of derivation was first seen in Hoel's 2013 paper [1] and was further discussed in detail in the "Neural Information Squeezer" paper [2].
Among them,<math>\epsilon</math> and <math>\delta</math> represent the magnitude of observation noise and intervention noise, respectively.-->
This kind of derivation was first seen in Hoel's 2013 paper [1] and was further discussed in detail in the "Neural Information Squeezer" paper [2].
===High-Dimensional Case===
===High-Dimensional Case===