Linear Regression with Unknown Truncation Beyond Gaussian Features

Alexandros Kouridakis, Anay Mehrotra, Alkis Kalavasis +1

In truncated linear regression, samples $(x,y)$ are shown only when the outcome $y$ falls inside a certain survival set $S^{\star }$ and the goal is to estimate the unknown $d$-dimens…