\usepackage[show]{chato-notes} % \newtheorem{theorem}{Theorem} % \newtheorem{definition}{Definition} % \newtheorem{problem}{Problem} % \newtheorem{lemma}{Lemma} \newcommand{\prob}[1]{\ensuremath{\mathbf{P}(#1)}} % \newcommand{\path}[2]{\ensuremath{\mathit{path}({#1}, {#2})}} \newcommand{\subtree}[2]{\ensuremath{\mathit{ST}_{#1}({#2})}} \newcommand{\descendants}[1]{\ensuremath{\mathit{Desc}({#1})}} \newcommand{\ancestors}[1]{\ensuremath{\mathit{Anc}({#1})}} % \newcommand{\root}{\ensuremath{\mathit{root}}} \DeclareMathOperator*{\argmin}{arg\,min} \DeclareMathOperator*{\argmax}{arg\,max} %formating \newcommand{\spara}[1]{\smallskip\noindent{\bf{#1}}} \newcommand{\mpara}[1]{\medskip\noindent{\bf{#1}}} \newcommand{\bpara}[1]{\bigskip\noindent{\bf{#1}}} \newcommand{\squishlist}{\begin{list}{$\bullet$} { \setlength{\itemsep}{0pt} \setlength{\parsep}{3pt} \setlength{\topsep}{3pt} \setlength{\partopsep}{0pt} \setlength{\leftmargin}{1.5em} \setlength{\labelwidth}{1em} \setlength{\labelsep}{0.5em} } } \newcommand{\squishend}{ \end{list} } \newcommand{\transpose}[1]{\ensuremath{{{#1}^{{\mkern-2.5mu\mathsf{T}}}}}} \newcommand{\human}{\ensuremath{\mathbf{H}}\xspace} \newcommand{\machine}{\ensuremath{\mathbf{M}}\xspace} \newcommand{\dataset}{\ensuremath{\mathbf{D}}\xspace} \newcommand{\datasize}{\ensuremath{n}\xspace} \newcommand{\features}{\ensuremath{X}\xspace} \newcommand{\featuresValue}{\ensuremath{x}\xspace} \newcommand{\leniency}{\ensuremath{R}\xspace} \newcommand{\leniencyValue}{\ensuremath{r}\xspace} \newcommand{\score}[1]{\ensuremath{\mathbf{f}(#1)}\xspace} \newcommand{\decision}{\ensuremath{T}\xspace} \newcommand{\decisionValue}{\ensuremath{t}\xspace} \newcommand{\outcome}{\ensuremath{Y}\xspace} \newcommand{\outcomeValue}{\ensuremath{y}\xspace} \newcommand{\doop}[1]{\ensuremath{\mathbf{do}(#1)}} \newcommand{\unobservable}{\ensuremath{Z}\xspace} \newcommand{\unobservableValue}{\ensuremath{z}\xspace} % \newcommand{\invlogit}{\ensuremath{logit}^{-1}} \newcommand{\invlogit}{\ensuremath{\sigma}\xspace} % \newcommand{\logit}{\ensuremath{logit}} \newcommand{\logit}{\ensuremath{\sigma^{-1}}\xspace} \newcommand{\generalPerformance}{\ensuremath{\mathbf{gp}}\xspace} \newcommand{\empiricalPerformance}{\ensuremath{\mathbf{ep}}\xspace} \newcommand{\indicator}[1]{\ensuremath{\delta(#1)}} \newcommand{\datadistr}[1]{\ensuremath{\mathbf{g}(#1)}\xspace}