Add proof of prop 2
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index.qmd
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index.qmd
@@ -1297,7 +1297,7 @@ if the loss $\ell$ is $G$-Lipschitz and weak exp-concave in its first coordinate
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## Proposition + Conditions
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## Proposition 1 + Conditions
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:::: {.columns}
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@@ -1363,7 +1363,7 @@ The strongest case is $\beta=1$ (Strong Convexity)
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::::
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## Proposition + Theorem
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## Proposition 2 + Theorem
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:::: {.columns}
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@@ -1411,6 +1411,89 @@ $$\widehat{\mathcal{R}}_{t,\min} = 2\overline{\widehat{\mathcal{R}}}^{\text{QL}}
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::::
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## Proof of P2 {.scrollable}
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::: {style="font-size: 85%;"}
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:::: {.columns}
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::: {.column width="48%"}
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First, rewrite $QL_p$ using the check function:
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\begin{align}
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\rho_p(z) = z(1(0 < z) - p) \label{eq:check}
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\end{align}
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\begin{align}
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QL_p(x, y) &= (\mathbf1(y < x) - p)(x - y) \\
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&= \rho_p(x-y)
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\end{align}
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Now we can express the quantile risk as:
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\begin{align}
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\mathcal{Q}_p(x) = E[\rho_p(x-y)] = ∫ \rho_p(x-y)f(y)dy
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\end{align}
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This integral form is where the convolution becomes apparent. A convolution of functions is defined as:
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\begin{align}
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(g * h)(x) &= ∫ g(z)h(x - z)dz \\
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&= ∫ h(x - z)g(z)dz
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\end{align}
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They are commutative.
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:::
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::: {.column width="4%"}
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:::
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::: {.column width="48%"}
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Using exchangability of subgradients in covolutions:
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\begin{align}
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\mathcal{Q}''_p(x) = \rho_p'' * f
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\end{align}
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To find $\mathcal{Q}''_p(x)$ we rewrite \eqref{eq:check}:
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\begin{align}
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\rho_p(z) &=
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\begin{cases}
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z(1 - p) = z - zp, & \text{if } z > 0 \\
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z(0 - p) = -zp, & \text{if } z \leq 0
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\end{cases} \\
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\rho_p'(z) &=
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\begin{cases}
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1 - p, & \text{if } z > 0 \\
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-p, & \text{if } z < 0
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\end{cases}
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\end{align}
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The function $\rho'_p(z)$ jumps from $-p$ to $1-p$ at $0$. So:
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\begin{align}
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\rho''_p(x) = \delta_0(z) \quad \text{Dirac Delta}
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\end{align}
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Now the magical part <i class="fa fa-fw fa-wand-magic-sparkles" style="color:var(--col_amber_6);"></i>:
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\begin{align}
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\mathcal{Q}''_p(x) = \delta_0 * f = f
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\end{align}
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Because Dirac Delta is the identity element for convolutions.
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::::
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::::
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## A Probabilistic Example
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