Delete UCI_N4

UCI_N4/jmlr_tables.tex

@@ -1,469 +0,0 @@
-% JMLR-ready tables for two-column papers
-% Required packages (no siunitx):
-% \usepackage{booktabs}
-% \usepackage{threeparttable}
-% \usepackage{threeparttablex} % for TableNotes + longtable
-% \usepackage{longtable}
-% Optional for landscape: \usepackage{pdflscape}
-
-\begin{table*}[t]
-\centering
-\begin{threeparttable}
-\caption{Model dimension ranges (min--max across all datasets and folds). Input/Output dimensions follow dataset label spaces.}
-\label{tab:model-ranges}
-\begin{tabular}{l r r r r r r}
-\toprule
-Algorithm & Width & Depth & Parameters & Padding & Input dim & Output dim \\
-\midrule
-AOL & 32--512 & 4--4 & 282--694837 & 10--524 & 3--262 & 2--100 \\
-Orthogonal & 32--512 & 4--4 & 285--694840 & 10--524 & 3--262 & 2--100 \\
-Sandwich & 32--512 & 4--4 & 615--1520140 & 10--524 & 3--262 & 2--100 \\
-SLL & 32--512 & 4--4 & 1558--1084073 & 10--524 & 3--262 & 2--100 \\
-LDLT-L & 32--512 & 4--4 & 3366--929297 & 10--524 & 3--262 & 2--100 \\
-LDLT-R & 32--512 & 4--4 & 3463--1063442 & 10--524 & 3--262 & 2--100 \\
-\bottomrule
-\end{tabular}
-\end{threeparttable}
-\end{table*}
-
-\begin{table*}[t]
-\centering
-\begin{threeparttable}
-\caption{Sorted mean$\pm$std across $N$ datasets for each algorithm.}
-\label{tab:metric_summary}
-\begin{tabular}{l r lllll}
-\toprule
- &  &  & \multicolumn{4}{c}{Certified Accuracy} \\
-\cmidrule(lr){4-7}
-Algorithm & $N$ & Accuracy & 36/255 & 72/255 & 108/255 & 255/255 \\
-\midrule
-AOL & 121 & 0.6295\,\tiny$\pm$0.2278 & 0.3655\,\tiny$\pm$0.2921 & 0.2628\,\tiny$\pm$0.2971 & 0.2078\,\tiny$\pm$0.2826 & 0.0989\,\tiny$\pm$0.1874 \\
-Orthogonal & 121 & 0.6969\,\tiny$\pm$0.1938 & 0.6072\,\tiny$\pm$0.2290 & 0.5114\,\tiny$\pm$0.2592 & 0.4332\,\tiny$\pm$0.2662 & 0.1957\,\tiny$\pm$0.2289 \\
-Sandwich & 121 & 0.7215\,\tiny$\pm$0.1871 & \textbf{0.6393\,\tiny$\pm$0.2310} & \textbf{0.5626\,\tiny$\pm$0.2520} & \textbf{0.4870\,\tiny$\pm$0.2671} & \textbf{0.2466\,\tiny$\pm$0.2478} \\
-SLL & 121 & 0.6978\,\tiny$\pm$0.1998 & 0.5929\,\tiny$\pm$0.2426 & 0.4964\,\tiny$\pm$0.2662 & 0.4126\,\tiny$\pm$0.2744 & 0.1858\,\tiny$\pm$0.2235 \\
-\midrule
-LDLT-L & 121 & \textbf{0.7223\,\tiny$\pm$0.1868} & 0.5299\,\tiny$\pm$0.2946 & 0.4279\,\tiny$\pm$0.3081 & 0.3505\,\tiny$\pm$0.3005 & 0.1620\,\tiny$\pm$0.2287 \\
-LDLT-R & 121 & 0.7022\,\tiny$\pm$0.1944 & 0.6152\,\tiny$\pm$0.2312 & 0.5295\,\tiny$\pm$0.2548 & 0.4481\,\tiny$\pm$0.2674 & 0.2164\,\tiny$\pm$0.2322 \\
-\bottomrule
-\end{tabular}
-\end{threeparttable}
-\end{table*}
-
-\begin{table}[t]
-\centering
-\begin{threeparttable}
-{\small
-\caption{Overall comparison on Mean Accuracy: average rank (lower is better) with Iman--Davenport $F=44.33$ (df=5,600), $p=1.11e-16$; Nemenyi CD$=0.969$. Counts are significant wins/losses after Holm within-metric at $\alpha=0.05$.}
-\label{tab:overall:mean_test_acc}
-\setlength{\tabcolsep}{4pt}
-\begin{tabular}{@{}l r r r r r r@{}}
-\toprule
-Algorithm & \shortstack{Avg \\ rank} $\downarrow$ & \shortstack{sig \\ wins} & \shortstack{sig \\ losses} & \shortstack{net \\ wins} & \shortstack{win \\ share} & mean $r$ \\
-\midrule
-LDLT-L & 2.434 & 4 & 0 & 4 & 0.800 & 0.577 \\
-Sandwich & 2.566 & 4 & 0 & 4 & 0.800 & 0.517 \\
-LDLT-R & 3.438 & 1 & 2 & -1 & 0.200 & 0.629 \\
-SLL & 3.624 & 1 & 2 & -1 & 0.200 & 0.678 \\
-Orthogonal & 3.831 & 1 & 2 & -1 & 0.200 & 0.639 \\
-AOL & 5.107 & 0 & 5 & -5 & 0.000 & 0.000 \\
-\bottomrule
-\end{tabular}
-}
-\end{threeparttable}
-\end{table}
-
-\begin{table}[t]
-\centering
-\begin{threeparttable}
-{\small
-\caption{Overall comparison on Mean Certified Accuracy (36/255): average rank (lower is better) with Iman--Davenport $F=82.25$ (df=5,600), $p=1.11e-16$; Nemenyi CD$=0.969$. Counts are significant wins/losses after Holm within-metric at $\alpha=0.05$.}
-\label{tab:overall:mean_cert_acc_36}
-\setlength{\tabcolsep}{4pt}
-\begin{tabular}{@{}l r r r r r r@{}}
-\toprule
-Algorithm & \shortstack{Avg \\ rank} $\downarrow$ & \shortstack{sig \\ wins} & \shortstack{sig \\ losses} & \shortstack{net \\ wins} & \shortstack{win \\ share} & mean $r$ \\
-\midrule
-Sandwich & 2.223 & 5 & 0 & 5 & 1.000 & 0.564 \\
-LDLT-R & 2.715 & 4 & 1 & 3 & 0.800 & 0.478 \\
-SLL & 3.248 & 2 & 2 & 0 & 0.400 & 0.624 \\
-Orthogonal & 3.380 & 2 & 2 & 0 & 0.400 & 0.627 \\
-LDLT-L & 3.760 & 1 & 4 & -3 & 0.200 & 0.737 \\
-AOL & 5.674 & 0 & 5 & -5 & 0.000 & 0.000 \\
-\bottomrule
-\end{tabular}
-}
-\end{threeparttable}
-\end{table}
-
-\begin{table}[t]
-\centering
-\begin{threeparttable}
-{\small
-\caption{Overall comparison on Mean Certified Accuracy (72/255): average rank (lower is better) with Iman--Davenport $F=102.13$ (df=5,600), $p=1.11e-16$; Nemenyi CD$=0.969$. Counts are significant wins/losses after Holm within-metric at $\alpha=0.05$.}
-\label{tab:overall:mean_cert_acc_72}
-\setlength{\tabcolsep}{4pt}
-\begin{tabular}{@{}l r r r r r r@{}}
-\toprule
-Algorithm & \shortstack{Avg \\ rank} $\downarrow$ & \shortstack{sig \\ wins} & \shortstack{sig \\ losses} & \shortstack{net \\ wins} & \shortstack{win \\ share} & mean $r$ \\
-\midrule
-Sandwich & 1.979 & 5 & 0 & 5 & 1.000 & 0.662 \\
-LDLT-R & 2.628 & 4 & 1 & 3 & 0.800 & 0.542 \\
-SLL & 3.306 & 2 & 2 & 0 & 0.400 & 0.647 \\
-Orthogonal & 3.417 & 2 & 2 & 0 & 0.400 & 0.632 \\
-LDLT-L & 4.008 & 1 & 4 & -3 & 0.200 & 0.754 \\
-AOL & 5.661 & 0 & 5 & -5 & 0.000 & 0.000 \\
-\bottomrule
-\end{tabular}
-}
-\end{threeparttable}
-\end{table}
-
-\begin{table}[t]
-\centering
-\begin{threeparttable}
-{\small
-\caption{Overall comparison on Mean Certified Accuracy (108/255): average rank (lower is better) with Iman--Davenport $F=128.94$ (df=5,600), $p=1.11e-16$; Nemenyi CD$=0.969$. Counts are significant wins/losses after Holm within-metric at $\alpha=0.05$.}
-\label{tab:overall:mean_cert_acc_108}
-\setlength{\tabcolsep}{4pt}
-\begin{tabular}{@{}l r r r r r r@{}}
-\toprule
-Algorithm & \shortstack{Avg \\ rank} $\downarrow$ & \shortstack{sig \\ wins} & \shortstack{sig \\ losses} & \shortstack{net \\ wins} & \shortstack{win \\ share} & mean $r$ \\
-\midrule
-Sandwich & 1.876 & 5 & 0 & 5 & 1.000 & 0.680 \\
-LDLT-R & 2.525 & 4 & 1 & 3 & 0.800 & 0.548 \\
-SLL & 3.318 & 2 & 2 & 0 & 0.400 & 0.662 \\
-Orthogonal & 3.364 & 2 & 2 & 0 & 0.400 & 0.677 \\
-LDLT-L & 4.194 & 1 & 4 & -3 & 0.200 & 0.824 \\
-AOL & 5.723 & 0 & 5 & -5 & 0.000 & 0.000 \\
-\bottomrule
-\end{tabular}
-}
-\end{threeparttable}
-\end{table}
-
-\begin{table}[t]
-\centering
-\begin{threeparttable}
-{\small
-\caption{Overall comparison on Mean Certified Accuracy (255/255): average rank (lower is better) with Iman--Davenport $F=89.04$ (df=5,600), $p=1.11e-16$; Nemenyi CD$=0.969$. Counts are significant wins/losses after Holm within-metric at $\alpha=0.05$.}
-\label{tab:overall:mean_cert_acc_255}
-\setlength{\tabcolsep}{4pt}
-\begin{tabular}{@{}l r r r r r r@{}}
-\toprule
-Algorithm & \shortstack{Avg \\ rank} $\downarrow$ & \shortstack{sig \\ wins} & \shortstack{sig \\ losses} & \shortstack{net \\ wins} & \shortstack{win \\ share} & mean $r$ \\
-\midrule
-Sandwich & 2.029 & 5 & 0 & 5 & 1.000 & 0.663 \\
-LDLT-R & 2.517 & 4 & 1 & 3 & 0.800 & 0.584 \\
-Orthogonal & 3.409 & 2 & 2 & 0 & 0.400 & 0.600 \\
-SLL & 3.409 & 2 & 2 & 0 & 0.400 & 0.643 \\
-LDLT-L & 4.174 & 1 & 4 & -3 & 0.200 & 0.808 \\
-AOL & 5.463 & 0 & 5 & -5 & 0.000 & 0.000 \\
-\bottomrule
-\end{tabular}
-}
-\end{threeparttable}
-\end{table}
-
-\begin{table}[t]
-\centering
-\begin{threeparttable}
-{
-\caption{Pairwise Wilcoxon outcomes for Mean Accuracy (Holm within-metric at $\alpha=0.05$): row vs. column (\textcolor{green}{$\blacktriangle$} win, \textcolor{red}{$\blacktriangledown$} loss, $\cdot$ none).}
-\label{tab:signif:mean_test_acc}
-\setlength{\tabcolsep}{3pt}
-\begin{tabular}{@{}l c c c c c c @{}}
-\toprule
- & AOL & LDLT-L & LDLT-R & Orthogonal & Sandwich & SLL \\
-\midrule
-AOL & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} \\
-LDLT-L & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{green}{$\blacktriangle$} \\
-LDLT-R & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & $\cdot$ & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & $\cdot$ \\
-Orthogonal & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & $\cdot$ & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & $\cdot$ \\
-Sandwich & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{green}{$\blacktriangle$} \\
-SLL & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & $\cdot$ & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & $\cdot$ \\
-\bottomrule
-\end{tabular}
-}
-\end{threeparttable}
-\end{table}
-
-\begin{table}[t]
-\centering
-\begin{threeparttable}
-{
-\caption{Pairwise Wilcoxon outcomes for Mean Certified Accuracy (36/255) (Holm within-metric at $\alpha=0.05$): row vs. column (\textcolor{green}{$\blacktriangle$} win, \textcolor{red}{$\blacktriangledown$} loss, $\cdot$ none).}
-\label{tab:signif:mean_cert_acc_36}
-\setlength{\tabcolsep}{3pt}
-\begin{tabular}{@{}l c c c c c c @{}}
-\toprule
- & AOL & LDLT-L & LDLT-R & Orthogonal & Sandwich & SLL \\
-\midrule
-AOL & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} \\
-LDLT-L & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} \\
-LDLT-R & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{green}{$\blacktriangle$} \\
-Orthogonal & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & $\cdot$ \\
-Sandwich & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{green}{$\blacktriangle$} \\
-SLL & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & $\cdot$ \\
-\bottomrule
-\end{tabular}
-}
-\end{threeparttable}
-\end{table}
-
-\begin{table}[t]
-\centering
-\begin{threeparttable}
-{
-\caption{Pairwise Wilcoxon outcomes for Mean Certified Accuracy (72/255) (Holm within-metric at $\alpha=0.05$): row vs. column (\textcolor{green}{$\blacktriangle$} win, \textcolor{red}{$\blacktriangledown$} loss, $\cdot$ none).}
-\label{tab:signif:mean_cert_acc_72}
-\setlength{\tabcolsep}{3pt}
-\begin{tabular}{@{}l c c c c c c @{}}
-\toprule
- & AOL & LDLT-L & LDLT-R & Orthogonal & Sandwich & SLL \\
-\midrule
-AOL & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} \\
-LDLT-L & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} \\
-LDLT-R & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{green}{$\blacktriangle$} \\
-Orthogonal & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & $\cdot$ \\
-Sandwich & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{green}{$\blacktriangle$} \\
-SLL & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & $\cdot$ \\
-\bottomrule
-\end{tabular}
-}
-\end{threeparttable}
-\end{table}
-
-\begin{table}[t]
-\centering
-\begin{threeparttable}
-{
-\caption{Pairwise Wilcoxon outcomes for Mean Certified Accuracy (108/255) (Holm within-metric at $\alpha=0.05$): row vs. column (\textcolor{green}{$\blacktriangle$} win, \textcolor{red}{$\blacktriangledown$} loss, $\cdot$ none).}
-\label{tab:signif:mean_cert_acc_108}
-\setlength{\tabcolsep}{3pt}
-\begin{tabular}{@{}l c c c c c c @{}}
-\toprule
- & AOL & LDLT-L & LDLT-R & Orthogonal & Sandwich & SLL \\
-\midrule
-AOL & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} \\
-LDLT-L & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} \\
-LDLT-R & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{green}{$\blacktriangle$} \\
-Orthogonal & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & $\cdot$ \\
-Sandwich & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{green}{$\blacktriangle$} \\
-SLL & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & $\cdot$ \\
-\bottomrule
-\end{tabular}
-}
-\end{threeparttable}
-\end{table}
-
-\begin{table}[t]
-\centering
-\begin{threeparttable}
-{
-\caption{Pairwise Wilcoxon outcomes for Mean Certified Accuracy (255/255) (Holm within-metric at $\alpha=0.05$): row vs. column (\textcolor{green}{$\blacktriangle$} win, \textcolor{red}{$\blacktriangledown$} loss, $\cdot$ none).}
-\label{tab:signif:mean_cert_acc_255}
-\setlength{\tabcolsep}{3pt}
-\begin{tabular}{@{}l c c c c c c @{}}
-\toprule
- & AOL & LDLT-L & LDLT-R & Orthogonal & Sandwich & SLL \\
-\midrule
-AOL & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} \\
-LDLT-L & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{red}{$\blacktriangledown$} \\
-LDLT-R & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & \textcolor{green}{$\blacktriangle$} \\
-Orthogonal & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & $\cdot$ \\
-Sandwich & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & $\cdot$ & \textcolor{green}{$\blacktriangle$} \\
-SLL & \textcolor{green}{$\blacktriangle$} & \textcolor{green}{$\blacktriangle$} & \textcolor{red}{$\blacktriangledown$} & $\cdot$ & \textcolor{red}{$\blacktriangledown$} & $\cdot$ \\
-\bottomrule
-\end{tabular}
-}
-\end{threeparttable}
-\end{table}
-
-
-\begin{table*}[t]
-\centering
-\begin{threeparttable}
-\caption[Mean Accuracy]{Wilcoxon signed-rank tests (two-sided) for Mean Accuracy; $p$-values with Holm FWER corrections within-metric and global.}
-\label{tab:wilcoxon:mean_test_acc}
-\begingroup
-\setlength{\tabcolsep}{4pt}
-\begin{tabular}{ll r r r r r r r r r r r}
-\toprule
-\multicolumn{2}{c}{Algorithms} & \multicolumn{6}{c}{Run Statistics} & \multicolumn{5}{c}{Wilcoxon pairwise Statistics} \\\cmidrule(lr){1-2} \cmidrule(lr){3-8} \cmidrule(lr){9-13}
-Alg A & Alg B & $n$ & wins$_A$ & wins$_B$ & ties & WinRate A & \shortstack{Median \\ $\Delta$ (A--B)} & $W$ & $p$ & $p_{\text{Holm,within}}$ & $p_{\text{Holm,global}}$ & $r$ \\
-\midrule
-AOL & LDLT-L & 121 & 16 & 105 & 0 & 0.1322 & -0.0568 & 412 & $2.3e-17^{***}$ & $3.4e-16^{***}$ & $0^{***}$ & 0.7708 \\
-AOL & Sandwich & 121 & 18 & 103 & 0 & 0.1488 & -0.0595 & 518 & $2.3e-16^{***}$ & $0^{***}$ & $0^{***}$ & 0.7459 \\
-AOL & SLL & 121 & 22 & 99 & 0 & 0.1818 & -0.0351 & 806 & $0^{***}$ & $0^{***}$ & $0^{***}$ & 0.6782 \\
-AOL & Orthogonal & 121 & 27 & 94 & 0 & 0.2231 & -0.0265 & 971 & $0^{***}$ & $0^{***}$ & $1.0e-10^{***}$ & 0.6394 \\
-AOL & LDLT-R & 121 & 25 & 96 & 0 & 0.2066 & -0.0313 & 1013 & $0^{***}$ & $0^{***}$ & $2.0e-10^{***}$ & 0.6295 \\
-Orthogonal & Sandwich & 121 & 31 & 89 & 1 & 0.2603 & -0.0126 & 1269 & $6.0e-10^{***}$ & $6.3e-09^{***}$ & $2.3e-08^{***}$ & 0.5643 \\
-LDLT-L & Orthogonal & 121 & 94 & 27 & 0 & 0.7769 & 0.0139 & 1309 & $7.0e-10^{***}$ & $6.6e-09^{***}$ & $2.6e-08^{***}$ & 0.5599 \\
-LDLT-L & SLL & 121 & 86 & 35 & 0 & 0.7107 & 0.0111 & 1503 & $1.5e-08^{***}$ & $1.2e-07^{***}$ & $5.1e-07^{***}$ & 0.5143 \\
-LDLT-L & LDLT-R & 121 & 87 & 33 & 1 & 0.7231 & 0.0108 & 1689 & $3.7e-07^{***}$ & $2.6e-06^{***}$ & $1.1e-05^{***}$ & 0.4639 \\
-Sandwich & SLL & 121 & 83 & 38 & 0 & 0.6860 & 0.0090 & 1789 & $8.8e-07^{***}$ & $5.3e-06^{***}$ & $2.4e-05^{***}$ & 0.4470 \\
-LDLT-R & Sandwich & 121 & 43 & 78 & 0 & 0.3554 & -0.0068 & 2364 & $6.0e-04^{***}$ & $3.0e-03^{**}$ & $9.1e-03^{**}$ & 0.3118 \\
-LDLT-R & SLL & 121 & 66 & 54 & 1 & 0.5496 & 0.0019 & 3070 & $1.4e-01$ & $5.7e-01$ & $8.6e-01$ & 0.1338 \\
-LDLT-R & Orthogonal & 121 & 71 & 50 & 0 & 0.5868 & 0.0025 & 3138 & $1.5e-01$ & $5.7e-01$ & $8.6e-01$ & 0.1298 \\
-Orthogonal & SLL & 121 & 60 & 61 & 0 & 0.4959 & -0.0004 & 3623 & $8.6e-01$ & $1.0e+00$ & $1.0e+00$ & 0.0158 \\
-LDLT-L & Sandwich & 121 & 59 & 62 & 0 & 0.4876 & -0.0002 & 3624 & $8.6e-01$ & $1.0e+00$ & $1.0e+00$ & 0.0155 \\
-\bottomrule
-\end{tabular}
-\begin{tablenotes}
-\item Stars mark significance ($^*\,p\!\le\!0.05$, $^{**}\,p\!\le\!0.01$, $^{***}\,p\!\le\!0.001$).
-\end{tablenotes}
-\endgroup
-\end{threeparttable}
-\end{table*}
-
-
-
-\begin{table*}[t]
-\centering
-\begin{threeparttable}
-\caption[Mean Certified Accuracy (36/255)]{Wilcoxon signed-rank tests (two-sided) for Mean Certified Accuracy (36/255); $p$-values with Holm FWER corrections within-metric and global.}
-\label{tab:wilcoxon:mean_cert_acc_36}
-\begingroup
-\setlength{\tabcolsep}{4pt}
-\begin{tabular}{ll r r r r r r r r r r r}
-\toprule
-\multicolumn{2}{c}{Algorithms} & \multicolumn{6}{c}{Run Statistics} & \multicolumn{5}{c}{Wilcoxon pairwise Statistics} \\\cmidrule(lr){1-2} \cmidrule(lr){3-8} \cmidrule(lr){9-13}
-Alg A & Alg B & $n$ & wins$_A$ & wins$_B$ & ties & WinRate A & \shortstack{Median \\ $\Delta$ (A--B)} & $W$ & $p$ & $p_{\text{Holm,within}}$ & $p_{\text{Holm,global}}$ & $r$ \\
-\midrule
-AOL & SLL & 121 & 4 & 117 & 0 & 0.0331 & -0.1998 & 27 & $2.7e-21^{***}$ & $4.0e-20^{***}$ & $2.0e-19^{***}$ & 0.8613 \\
-AOL & Sandwich & 121 & 6 & 114 & 1 & 0.0537 & -0.2626 & 32 & $4.5e-21^{***}$ & $6.1e-20^{***}$ & $3.2e-19^{***}$ & 0.8601 \\
-AOL & LDLT-R & 121 & 4 & 117 & 0 & 0.0331 & -0.2302 & 47 & $4.4e-21^{***}$ & $6.1e-20^{***}$ & $3.2e-19^{***}$ & 0.8566 \\
-AOL & Orthogonal & 121 & 8 & 113 & 0 & 0.0661 & -0.2204 & 87 & $1.2e-20^{***}$ & $1.4e-19^{***}$ & $7.9e-19^{***}$ & 0.8472 \\
-AOL & LDLT-L & 121 & 17 & 104 & 0 & 0.1405 & -0.1415 & 554 & $5.0e-16^{***}$ & $0^{***}$ & $0^{***}$ & 0.7374 \\
-LDLT-L & Sandwich & 121 & 31 & 89 & 1 & 0.2603 & -0.0387 & 998 & $0^{***}$ & $1.0e-10^{***}$ & $2.0e-10^{***}$ & 0.6291 \\
-LDLT-L & LDLT-R & 121 & 40 & 81 & 0 & 0.3306 & -0.0297 & 1410 & $3.7e-09^{***}$ & $3.3e-08^{***}$ & $1.3e-07^{***}$ & 0.5361 \\
-Orthogonal & Sandwich & 121 & 28 & 93 & 0 & 0.2314 & -0.0238 & 1424 & $4.6e-09^{***}$ & $3.7e-08^{***}$ & $1.6e-07^{***}$ & 0.5327 \\
-Sandwich & SLL & 121 & 83 & 38 & 0 & 0.6860 & 0.0207 & 1530 & $2.3e-08^{***}$ & $1.6e-07^{***}$ & $7.4e-07^{***}$ & 0.5079 \\
-LDLT-L & Orthogonal & 121 & 48 & 73 & 0 & 0.3967 & -0.0200 & 1957 & $7.4e-06^{***}$ & $4.4e-05^{***}$ & $1.8e-04^{***}$ & 0.4075 \\
-LDLT-L & SLL & 121 & 47 & 73 & 1 & 0.3926 & -0.0085 & 2014 & $2.3e-05^{***}$ & $1.2e-04^{***}$ & $4.4e-04^{***}$ & 0.3862 \\
-LDLT-R & SLL & 121 & 76 & 43 & 2 & 0.6364 & 0.0095 & 2285 & $6.6e-04^{***}$ & $2.6e-03^{**}$ & $9.2e-03^{**}$ & 0.3123 \\
-LDLT-R & Sandwich & 121 & 44 & 77 & 0 & 0.3636 & -0.0089 & 2466 & $1.5e-03^{**}$ & $4.6e-03^{**}$ & $1.7e-02^{*}$ & 0.2878 \\
-LDLT-R & Orthogonal & 121 & 78 & 42 & 1 & 0.6488 & 0.0084 & 2756 & $2.2e-02^{*}$ & $4.4e-02^{*}$ & $2.0e-01$ & 0.2088 \\
-Orthogonal & SLL & 121 & 60 & 60 & 1 & 0.5000 & 0.0000 & 2916 & $6.2e-02$ & $6.2e-02$ & $4.9e-01$ & 0.1705 \\
-\bottomrule
-\end{tabular}
-\begin{tablenotes}
-\item Stars mark significance ($^*\,p\!\le\!0.05$, $^{**}\,p\!\le\!0.01$, $^{***}\,p\!\le\!0.001$).
-\end{tablenotes}
-\endgroup
-\end{threeparttable}
-\end{table*}
-
-
-
-\begin{table*}[t]
-\centering
-\begin{threeparttable}
-\caption[Mean Certified Accuracy (72/255)]{Wilcoxon signed-rank tests (two-sided) for Mean Certified Accuracy (72/255); $p$-values with Holm FWER corrections within-metric and global.}
-\label{tab:wilcoxon:mean_cert_acc_72}
-\begingroup
-\setlength{\tabcolsep}{4pt}
-\begin{tabular}{ll r r r r r r r r r r r}
-\toprule
-\multicolumn{2}{c}{Algorithms} & \multicolumn{6}{c}{Run Statistics} & \multicolumn{5}{c}{Wilcoxon pairwise Statistics} \\\cmidrule(lr){1-2} \cmidrule(lr){3-8} \cmidrule(lr){9-13}
-Alg A & Alg B & $n$ & wins$_A$ & wins$_B$ & ties & WinRate A & \shortstack{Median \\ $\Delta$ (A--B)} & $W$ & $p$ & $p_{\text{Holm,within}}$ & $p_{\text{Holm,global}}$ & $r$ \\
-\midrule
-AOL & Sandwich & 121 & 6 & 114 & 1 & 0.0537 & -0.2723 & 58 & $8.5e-21^{***}$ & $1.3e-19^{***}$ & $5.9e-19^{***}$ & 0.8538 \\
-AOL & SLL & 121 & 3 & 116 & 2 & 0.0331 & -0.1967 & 59 & $1.3e-20^{***}$ & $1.8e-19^{***}$ & $8.6e-19^{***}$ & 0.8534 \\
-AOL & LDLT-R & 121 & 5 & 116 & 0 & 0.0413 & -0.2325 & 103 & $1.7e-20^{***}$ & $2.2e-19^{***}$ & $1.1e-18^{***}$ & 0.8435 \\
-AOL & Orthogonal & 121 & 8 & 113 & 0 & 0.0661 & -0.2085 & 149 & $5.2e-20^{***}$ & $6.3e-19^{***}$ & $3.3e-18^{***}$ & 0.8327 \\
-AOL & LDLT-L & 121 & 16 & 102 & 3 & 0.1446 & -0.1155 & 460 & $2.6e-16^{***}$ & $0^{***}$ & $0^{***}$ & 0.7539 \\
-LDLT-L & Sandwich & 121 & 21 & 100 & 0 & 0.1736 & -0.0748 & 670 & $0^{***}$ & $0^{***}$ & $0^{***}$ & 0.7101 \\
-Orthogonal & Sandwich & 121 & 18 & 103 & 0 & 0.1488 & -0.0370 & 698 & $0^{***}$ & $0^{***}$ & $0^{***}$ & 0.7037 \\
-Sandwich & SLL & 121 & 91 & 28 & 2 & 0.7603 & 0.0396 & 823 & $0^{***}$ & $0^{***}$ & $0^{***}$ & 0.6676 \\
-LDLT-L & LDLT-R & 121 & 30 & 90 & 1 & 0.2521 & -0.0625 & 988 & $0^{***}$ & $0^{***}$ & $2.0e-10^{***}$ & 0.6315 \\
-LDLT-L & SLL & 121 & 42 & 79 & 0 & 0.3471 & -0.0231 & 1813 & $1.2e-06^{***}$ & $7.2e-06^{***}$ & $3.1e-05^{***}$ & 0.4414 \\
-LDLT-L & Orthogonal & 121 & 44 & 77 & 0 & 0.3636 & -0.0192 & 1857 & $2.1e-06^{***}$ & $1.1e-05^{***}$ & $5.3e-05^{***}$ & 0.4310 \\
-LDLT-R & SLL & 121 & 79 & 41 & 1 & 0.6570 & 0.0156 & 1982 & $1.6e-05^{***}$ & $6.4e-05^{***}$ & $3.5e-04^{***}$ & 0.3937 \\
-LDLT-R & Sandwich & 121 & 44 & 77 & 0 & 0.3636 & -0.0238 & 2090 & $3.5e-05^{***}$ & $1.1e-04^{***}$ & $6.3e-04^{***}$ & 0.3761 \\
-LDLT-R & Orthogonal & 121 & 77 & 42 & 2 & 0.6446 & 0.0106 & 2346 & $1.2e-03^{**}$ & $2.4e-03^{**}$ & $1.5e-02^{*}$ & 0.2974 \\
-Orthogonal & SLL & 121 & 61 & 59 & 1 & 0.5083 & 0.0002 & 3188 & $2.5e-01$ & $2.5e-01$ & $9.9e-01$ & 0.1055 \\
-\bottomrule
-\end{tabular}
-\begin{tablenotes}
-\item Stars mark significance ($^*\,p\!\le\!0.05$, $^{**}\,p\!\le\!0.01$, $^{***}\,p\!\le\!0.001$).
-\end{tablenotes}
-\endgroup
-\end{threeparttable}
-\end{table*}
-
-
-
-\begin{table*}[t]
-\centering
-\begin{threeparttable}
-\caption[Mean Certified Accuracy (108/255)]{Wilcoxon signed-rank tests (two-sided) for Mean Certified Accuracy (108/255); $p$-values with Holm FWER corrections within-metric and global.}
-\label{tab:wilcoxon:mean_cert_acc_108}
-\begingroup
-\setlength{\tabcolsep}{4pt}
-\begin{tabular}{ll r r r r r r r r r r r}
-\toprule
-\multicolumn{2}{c}{Algorithms} & \multicolumn{6}{c}{Run Statistics} & \multicolumn{5}{c}{Wilcoxon pairwise Statistics} \\\cmidrule(lr){1-2} \cmidrule(lr){3-8} \cmidrule(lr){9-13}
-Alg A & Alg B & $n$ & wins$_A$ & wins$_B$ & ties & WinRate A & \shortstack{Median \\ $\Delta$ (A--B)} & $W$ & $p$ & $p_{\text{Holm,within}}$ & $p_{\text{Holm,global}}$ & $r$ \\
-\midrule
-AOL & LDLT-R & 121 & 1 & 119 & 1 & 0.0124 & -0.2179 & 1 & $2.0e-21^{***}$ & $3.1e-20^{***}$ & $1.5e-19^{***}$ & 0.8675 \\
-AOL & SLL & 121 & 2 & 116 & 3 & 0.0289 & -0.1595 & 12 & $5.8e-21^{***}$ & $7.5e-20^{***}$ & $4.1e-19^{***}$ & 0.8648 \\
-AOL & Sandwich & 121 & 4 & 116 & 1 & 0.0372 & -0.2402 & 32 & $4.5e-21^{***}$ & $6.2e-20^{***}$ & $3.2e-19^{***}$ & 0.8601 \\
-AOL & Orthogonal & 121 & 6 & 113 & 2 & 0.0579 & -0.1817 & 72 & $1.8e-20^{***}$ & $2.1e-19^{***}$ & $1.2e-18^{***}$ & 0.8502 \\
-AOL & LDLT-L & 121 & 12 & 99 & 10 & 0.1405 & -0.0785 & 158 & $4.0e-18^{***}$ & $4.4e-17^{***}$ & $2.5e-16^{***}$ & 0.8237 \\
-LDLT-L & Sandwich & 121 & 17 & 104 & 0 & 0.1405 & -0.0905 & 492 & $1.3e-16^{***}$ & $0^{***}$ & $0^{***}$ & 0.7520 \\
-Orthogonal & Sandwich & 121 & 16 & 105 & 0 & 0.1322 & -0.0475 & 700 & $0^{***}$ & $0^{***}$ & $0^{***}$ & 0.7030 \\
-Sandwich & SLL & 121 & 93 & 26 & 2 & 0.7769 & 0.0480 & 764 & $0^{***}$ & $0^{***}$ & $0^{***}$ & 0.6820 \\
-LDLT-L & LDLT-R & 121 & 23 & 97 & 1 & 0.1942 & -0.0468 & 787 & $0^{***}$ & $0^{***}$ & $0^{***}$ & 0.6796 \\
-LDLT-L & Orthogonal & 121 & 35 & 84 & 2 & 0.2975 & -0.0276 & 1497 & $3.9e-08^{***}$ & $2.3e-07^{***}$ & $1.2e-06^{***}$ & 0.5038 \\
-LDLT-L & SLL & 121 & 37 & 82 & 2 & 0.3140 & -0.0208 & 1682 & $5.6e-07^{***}$ & $2.8e-06^{***}$ & $1.6e-05^{***}$ & 0.4588 \\
-LDLT-R & SLL & 121 & 82 & 35 & 4 & 0.6942 & 0.0178 & 1875 & $1.8e-05^{***}$ & $5.4e-05^{***}$ & $3.8e-04^{***}$ & 0.3963 \\
-LDLT-R & Sandwich & 121 & 41 & 79 & 1 & 0.3430 & -0.0213 & 1952 & $1.1e-05^{***}$ & $4.5e-05^{***}$ & $2.6e-04^{***}$ & 0.4010 \\
-LDLT-R & Orthogonal & 121 & 77 & 42 & 2 & 0.6446 & 0.0191 & 2543 & $6.5e-03^{**}$ & $1.3e-02^{*}$ & $6.5e-02$ & 0.2495 \\
-Orthogonal & SLL & 121 & 60 & 59 & 2 & 0.5041 & 0.0000 & 2941 & $9.6e-02$ & $9.6e-02$ & $6.7e-01$ & 0.1528 \\
-\bottomrule
-\end{tabular}
-\begin{tablenotes}
-\item Stars mark significance ($^*\,p\!\le\!0.05$, $^{**}\,p\!\le\!0.01$, $^{***}\,p\!\le\!0.001$).
-\end{tablenotes}
-\endgroup
-\end{threeparttable}
-\end{table*}
-
-
-
-\begin{table*}[t]
-\centering
-\begin{threeparttable}
-\caption[Mean Certified Accuracy (255/255)]{Wilcoxon signed-rank tests (two-sided) for Mean Certified Accuracy (255/255); $p$-values with Holm FWER corrections within-metric and global.}
-\label{tab:wilcoxon:mean_cert_acc_255}
-\begingroup
-\setlength{\tabcolsep}{4pt}
-\begin{tabular}{ll r r r r r r r r r r r}
-\toprule
-\multicolumn{2}{c}{Algorithms} & \multicolumn{6}{c}{Run Statistics} & \multicolumn{5}{c}{Wilcoxon pairwise Statistics} \\\cmidrule(lr){1-2} \cmidrule(lr){3-8} \cmidrule(lr){9-13}
-Alg A & Alg B & $n$ & wins$_A$ & wins$_B$ & ties & WinRate A & \shortstack{Median \\ $\Delta$ (A--B)} & $W$ & $p$ & $p_{\text{Holm,within}}$ & $p_{\text{Holm,global}}$ & $r$ \\
-\midrule
-AOL & LDLT-R & 121 & 2 & 107 & 12 & 0.0661 & -0.0560 & 17 & $2.1e-19^{***}$ & $3.1e-18^{***}$ & $1.3e-17^{***}$ & 0.8629 \\
-AOL & SLL & 121 & 2 & 99 & 20 & 0.0992 & -0.0407 & 24 & $5.5e-18^{***}$ & $7.2e-17^{***}$ & $3.3e-16^{***}$ & 0.8599 \\
-AOL & Sandwich & 121 & 2 & 107 & 12 & 0.0661 & -0.0791 & 58 & $6.4e-19^{***}$ & $8.9e-18^{***}$ & $4.0e-17^{***}$ & 0.8511 \\
-AOL & Orthogonal & 121 & 5 & 100 & 16 & 0.1074 & -0.0347 & 109 & $1.3e-17^{***}$ & $1.5e-16^{***}$ & $7.6e-16^{***}$ & 0.8339 \\
-AOL & LDLT-L & 121 & 6 & 79 & 36 & 0.1983 & -0.0167 & 127 & $0^{***}$ & $0^{***}$ & $0^{***}$ & 0.8080 \\
-LDLT-L & Sandwich & 121 & 11 & 98 & 12 & 0.1405 & -0.0371 & 291 & $2.8e-16^{***}$ & $0^{***}$ & $0^{***}$ & 0.7836 \\
-Orthogonal & Sandwich & 121 & 16 & 95 & 10 & 0.1736 & -0.0340 & 427 & $0^{***}$ & $0^{***}$ & $0^{***}$ & 0.7486 \\
-Sandwich & SLL & 121 & 86 & 24 & 11 & 0.7562 & 0.0261 & 845 & $0^{***}$ & $4.0e-10^{***}$ & $1.8e-09^{***}$ & 0.6276 \\
-LDLT-L & LDLT-R & 121 & 20 & 89 & 12 & 0.2149 & -0.0193 & 847 & $1.0e-10^{***}$ & $6.0e-10^{***}$ & $3.1e-09^{***}$ & 0.6226 \\
-LDLT-L & SLL & 121 & 29 & 72 & 20 & 0.3223 & -0.0068 & 1312 & $1.9e-05^{***}$ & $9.4e-05^{***}$ & $3.8e-04^{***}$ & 0.4257 \\
-LDLT-R & SLL & 121 & 80 & 29 & 12 & 0.7107 & 0.0184 & 1331 & $4.7e-07^{***}$ & $2.8e-06^{***}$ & $1.4e-05^{***}$ & 0.4824 \\
-LDLT-L & Orthogonal & 121 & 34 & 71 & 16 & 0.3471 & -0.0067 & 1607 & $1.7e-04^{***}$ & $5.2e-04^{***}$ & $2.8e-03^{**}$ & 0.3666 \\
-LDLT-R & Orthogonal & 121 & 74 & 38 & 9 & 0.6488 & 0.0104 & 1829 & $1.1e-04^{***}$ & $4.3e-04^{***}$ & $1.8e-03^{**}$ & 0.3661 \\
-LDLT-R & Sandwich & 121 & 45 & 68 & 8 & 0.4050 & -0.0092 & 2100 & $1.3e-03^{**}$ & $2.7e-03^{**}$ & $1.6e-02^{*}$ & 0.3018 \\
-Orthogonal & SLL & 121 & 57 & 52 & 12 & 0.5207 & 0.0000 & 2967 & $9.3e-01$ & $9.3e-01$ & $1.0e+00$ & 0.0087 \\
-\bottomrule
-\end{tabular}
-\begin{tablenotes}
-\item Stars mark significance ($^*\,p\!\le\!0.05$, $^{**}\,p\!\le\!0.01$, $^{***}\,p\!\le\!0.001$).
-\end{tablenotes}
-\endgroup
-\end{threeparttable}
-\end{table*}

UCI_N4/sdp/runs/abalone/fold_0/1762509990.1624336/events.out.tfevents.1762509990.auvsl-gpu-01.ise.illinois.edu.4159804.8534

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:dc2a55c54d25b9204835b5f5571a607ec7db189278cfee5d2f89802a7b114502
-size 837

UCI_N4/sdp/runs/abalone/fold_0/1762509990.6082828/events.out.tfevents.1762509990.auvsl-gpu-01.ise.illinois.edu.4159804.8535

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:136b71527989f61453e9765bfb23e7ce6193fb9b6584ce85ff3b39318747b7ee
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509990.7782588/events.out.tfevents.1762509990.auvsl-gpu-01.ise.illinois.edu.4159804.8536

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4013eb607372662ee652d2d373662510e712dec206aead8e27a98e858c9fcf84
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509990.947228/events.out.tfevents.1762509990.auvsl-gpu-01.ise.illinois.edu.4159804.8537

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f159a74c5f2cd04db7be7bfb481fd3407a87e618e2a385f539942dc3ffe493e2
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509991.1159182/events.out.tfevents.1762509991.auvsl-gpu-01.ise.illinois.edu.4159804.8538

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ce4b077530f5861c45395bf34e3d089ff12f4a00ff5e4337240cb902e9fbb59e
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509991.2867317/events.out.tfevents.1762509991.auvsl-gpu-01.ise.illinois.edu.4159804.8539

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7e94415b05696155e2c07873c09acbe50760ef2d5580f33f9355abafec4330d0
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509991.4467363/events.out.tfevents.1762509991.auvsl-gpu-01.ise.illinois.edu.4159804.8540

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:2ba495ed4215e0f07057698dd8991aa94ab20175e0ce981c8fc2073a93242fee
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509991.603772/events.out.tfevents.1762509991.auvsl-gpu-01.ise.illinois.edu.4159804.8541

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5358cbb47e18d3eb2b1b0bd65344ac635ccddcad225bf96b7c94f0b824ad8b98
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509991.7627/events.out.tfevents.1762509991.auvsl-gpu-01.ise.illinois.edu.4159804.8542

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6547aee1c784fec8e9856f2e9e635e3272466f184023c9e104b16eefe876607a
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509991.9198413/events.out.tfevents.1762509991.auvsl-gpu-01.ise.illinois.edu.4159804.8543

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:68c3c285f1862b1b86f0a608b15ced6a90939dcc76a06375a01e9e303fcdf78f
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509992.076719/events.out.tfevents.1762509992.auvsl-gpu-01.ise.illinois.edu.4159804.8544

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:89e58735f3bf229860ce4f53bba1b4ec62b42ee32a133eb2262c695f099e88e0
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509992.333432/events.out.tfevents.1762509992.auvsl-gpu-01.ise.illinois.edu.4159804.8545

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:88d8df56c1da4403e7307c6804b13c3621fa1d6fd565ccee086ab6e0c1b8adad
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509992.4974706/events.out.tfevents.1762509992.auvsl-gpu-01.ise.illinois.edu.4159804.8546

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5eb160a575190ba1f8a53dca59e35c939bd3d3bb5c65c4f9d68c8c0f7b4121aa
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509992.6475458/events.out.tfevents.1762509992.auvsl-gpu-01.ise.illinois.edu.4159804.8547

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f86706c90879074a838a4101f3de7b66435911382f25be9c94da226a006e13da
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509992.7983131/events.out.tfevents.1762509992.auvsl-gpu-01.ise.illinois.edu.4159804.8548

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:17e900fcc26c9c4befe7a68bd10a212cb08858e593ee08a4321d87e79d11d706
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509992.9541173/events.out.tfevents.1762509992.auvsl-gpu-01.ise.illinois.edu.4159804.8549

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f7d0ea82c335fb386256a803181a5b75ebc571867f6471b99aae6121d087a4bd
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509993.106646/events.out.tfevents.1762509993.auvsl-gpu-01.ise.illinois.edu.4159804.8550

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1d1fc253dca8408721add859b0a8a0e330b9bbc3b43e1062f3de9f65a8a1f426
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509993.2629912/events.out.tfevents.1762509993.auvsl-gpu-01.ise.illinois.edu.4159804.8551

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:be619734fba7d19728c75899322cc4becba4c25560d064abdae99704d7be6952
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509993.417039/events.out.tfevents.1762509993.auvsl-gpu-01.ise.illinois.edu.4159804.8552

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:28f530a08d50c37f85683f621731c3aaa693641d80314bbb2c15f428252e8466
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509993.5721714/events.out.tfevents.1762509993.auvsl-gpu-01.ise.illinois.edu.4159804.8553

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8ef22bc9f6868b3f385d2de23831196c80eb3a3b447daef08188ec084b8197a7
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509993.7272043/events.out.tfevents.1762509993.auvsl-gpu-01.ise.illinois.edu.4159804.8554

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5bbabf84214c98bffeebef46233a0329b6166f707367d7927c1aa9fa906910e1
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509993.8836026/events.out.tfevents.1762509993.auvsl-gpu-01.ise.illinois.edu.4159804.8555

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:64543fc81214a0aaa9a5964957feab2506dcad187e1c4430fa5a2683f0bd4ee0
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509994.0402246/events.out.tfevents.1762509994.auvsl-gpu-01.ise.illinois.edu.4159804.8556

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8d12b7339541aebd6a2938fbbcfb6cacb790a938a6590acb0e15329df66adc59
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509994.197421/events.out.tfevents.1762509994.auvsl-gpu-01.ise.illinois.edu.4159804.8557

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e7939794e5729911a127dfb7305093032115d4021cf80959ee768f266f733edd
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509994.35786/events.out.tfevents.1762509994.auvsl-gpu-01.ise.illinois.edu.4159804.8558

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e4f268b65d2cf0cf5e99b6ca430f8784179fa64dcf1435e0a7b2af9ea9bb1ba0
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509994.5115335/events.out.tfevents.1762509994.auvsl-gpu-01.ise.illinois.edu.4159804.8559

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1efafe89dee6199539e0b90918e42b282a27d5a740941d2c9aafc5024fd643e7
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509994.6682787/events.out.tfevents.1762509994.auvsl-gpu-01.ise.illinois.edu.4159804.8560

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d8203d07866639ae733af443480fe4956da66b6a3b22001582cd0b5390b3f70d
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509994.8236165/events.out.tfevents.1762509994.auvsl-gpu-01.ise.illinois.edu.4159804.8561

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ff901e387a89901fae2f2573b68b32f22bbaa3280f40ba9ba1f0687c976de328
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509994.9828513/events.out.tfevents.1762509994.auvsl-gpu-01.ise.illinois.edu.4159804.8562

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:062c1ce7a3b438f413e5ee930783225baa7933eb76cda5e807b2b2b798768554
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509995.141398/events.out.tfevents.1762509995.auvsl-gpu-01.ise.illinois.edu.4159804.8563

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:41db0f4b13e04affc9a69399012f3ee7f3ec42935c7d95346fbf189619e23379
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509995.2998827/events.out.tfevents.1762509995.auvsl-gpu-01.ise.illinois.edu.4159804.8564

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:dbcb7f0a39d2660287bc83081e5a4e3074c9763f98d3b8f26826e20e43393f8a
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509995.4601028/events.out.tfevents.1762509995.auvsl-gpu-01.ise.illinois.edu.4159804.8565

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fd67b3fefc5c229ff80f69fea5020465a6dd4a289a435f70480602ffb846f0f1
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509995.6226707/events.out.tfevents.1762509995.auvsl-gpu-01.ise.illinois.edu.4159804.8566

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:22f392e0b5cf27ffd627fbc4b6bfd8b59aec08861282539d9cda02f989e94a8e
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509995.782145/events.out.tfevents.1762509995.auvsl-gpu-01.ise.illinois.edu.4159804.8567

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:feaa7348017cd9499b3b1936922a92a4c8b0a5a301927fbf5adde8a1cacd75ac
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509995.9411156/events.out.tfevents.1762509995.auvsl-gpu-01.ise.illinois.edu.4159804.8568

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:2d851e75122e9c9703d77dae528f47f059c0c4b01b7b4442d558e08db03a0501
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509996.102072/events.out.tfevents.1762509996.auvsl-gpu-01.ise.illinois.edu.4159804.8569

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1db1663bf818a9dfe483bed4ad514290f13130fa7cff47dc62f3467f7e363765
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509996.2613099/events.out.tfevents.1762509996.auvsl-gpu-01.ise.illinois.edu.4159804.8570

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:72322ec79c3207dbbdddddc9ae9cee5bb0e8356da0569ddb0c826eab334226ac
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509996.4188166/events.out.tfevents.1762509996.auvsl-gpu-01.ise.illinois.edu.4159804.8571

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a8a22398b6a64118c273329d67d7dfe89cac4ad2913d55590a5bc2dd47b9d5f6
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509996.5758202/events.out.tfevents.1762509996.auvsl-gpu-01.ise.illinois.edu.4159804.8572

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8946d1e12ca03396e1946634e830e21568e6ca7f245125176eee207aa63255ba
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509996.738359/events.out.tfevents.1762509996.auvsl-gpu-01.ise.illinois.edu.4159804.8573

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:bea511922d396efb67c50493db1bdf8c0cd9375a3f6b488f79e0a4d61d8b59c6
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509996.8932834/events.out.tfevents.1762509996.auvsl-gpu-01.ise.illinois.edu.4159804.8574

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fc46c825df67ab9efc30faf680a0ad80c2bee6c90e47d1163a69cd45bfcab1ee
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509997.0538962/events.out.tfevents.1762509997.auvsl-gpu-01.ise.illinois.edu.4159804.8575

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:28a6cf711f5fb446a40bbcbc35a2b8a415451d87f83d7f4902a887975a8c08d3
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509997.2136445/events.out.tfevents.1762509997.auvsl-gpu-01.ise.illinois.edu.4159804.8576

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fe788d4345ad55346cca0109fbe401a5d83227c9ea7f85f629fef508e6ece7ef
-size 847

UCI_N4/sdp/runs/abalone/fold_0/1762509997.378704/events.out.tfevents.1762509997.auvsl-gpu-01.ise.illinois.edu.4159804.8577

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4aa6a80f4afd30a284b490ebef8096ba6d484646874dc0a2178be0d0249921a8
-size 847