Fix figure paths

slds-lmu · Jan 20, 2025 · d00b64a · d00b64a
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diff --git a/slides/04-multivariate-first-order/slides-multivar-first-order-12-comparison.tex b/slides/04-multivariate-first-order/slides-multivar-first-order-12-comparison.tex
@@ -43,8 +43,8 @@
 \vspace{-0.4cm}
 GD with medium $\alpha=2\cdot10^{-3}$ and indep. features:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_reg_med_lr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_reg_coef_med.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_reg_med_lr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_reg_coef_med.pdf}\\
             \begin{footnotesize}
                 Irreducible error due to additive noise is $\sigma=1$. Dotted lines indicate global minimizers.
             \end{footnotesize}
@@ -56,8 +56,8 @@
 \vspace{-0.4cm}
 GD with medium $\alpha=2\cdot10^{-3}$ and bad conditioning (corr. features):
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_reg_med_lr_corr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_reg_coef_med_corr.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_reg_med_lr_corr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_reg_coef_med_corr.pdf}\\
             \begin{footnotesize}
                 Irreducible error due to additive noise is $\sigma=1$. Dotted lines indicate global minimizers.
             \end{footnotesize}
@@ -72,8 +72,8 @@
 \vspace{-0.4cm}
 GD with (too small) $\alpha=3\cdot10^{-4}$ and indep. features:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_reg_small_lr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_reg_coef_small.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_reg_small_lr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_reg_coef_small.pdf}\\
             \begin{footnotesize}
                 Irreducible error due to additive noise is $\sigma=1$. Dotted lines indicate global minimizers.
             \end{footnotesize}
@@ -85,8 +85,8 @@
 \vspace{-0.5cm}
 GD with large $\alpha=1.5$ and indep. features:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_reg_large_lr_iters.pdf} \\
-             \includegraphics[width=0.7\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_reg_coef_large.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_reg_large_lr_iters.pdf} \\
+             \includegraphics[width=0.7\textwidth]{figure_man/simu_linmod/GD_reg_coef_large.pdf}\\
             \begin{footnotesize}
                 Irreducible error due to additive noise is $\sigma=1$. Dotted lines indicate global minimizers.
             \end{footnotesize}
@@ -101,8 +101,8 @@
 \vspace{-0.4cm}
 SGD with medium $\alpha=2\cdot10^{-3}$ and indep. features:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_reg_med_lr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_reg_coef_med.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_reg_med_lr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_reg_coef_med.pdf}\\
             \begin{footnotesize}
                 %Irreducible error due to additive noise is $\sigma=1$
             \end{footnotesize}
@@ -115,8 +115,8 @@
 \vspace{-0.4cm}
 SGD with medium $\alpha=2\cdot10^{-3}$ and bad conditioning (corr. features):
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_reg_med_lr_corr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_reg_coef_med_corr.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_reg_med_lr_corr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_reg_coef_med_corr.pdf}\\
             \begin{footnotesize}
                 Irreducible error due to additive noise is $\sigma=1$
             \end{footnotesize}
@@ -130,8 +130,8 @@
 \vspace{-0.4cm}
 SGD with small $\alpha=3\cdot10^{-4}$ and indep. features:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_reg_small_lr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_reg_coef_small.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_reg_small_lr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_reg_coef_small.pdf}\\
             \begin{footnotesize}
                 Irreducible error due to additive noise is $\sigma=1$
             \end{footnotesize}
@@ -145,8 +145,8 @@
 \vspace{-0.4cm}
 SGD with large $\alpha=1 \cdot 10^{-2}$ and indep. features:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_reg_large_lr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_reg_coef_large.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_reg_large_lr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_reg_coef_large.pdf}\\
             \begin{footnotesize}
                 Irreducible error due to additive noise is $\sigma=1$
             \end{footnotesize}
@@ -246,8 +246,8 @@
 \vspace{-0.4cm}
 GD with medium $\alpha=0.25$ and indep. features:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_log_med_lr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_log_coef_med.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_log_med_lr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_log_coef_med.pdf}\\
             \begin{footnotesize}
             Dotted lines indicate global minimizers.
                 %Dashed line in test loss indicates irreducible error due to $\sigma=1$ 
@@ -261,8 +261,8 @@
 \vspace{-0.4cm}
 GD with medium $\alpha=0.25$ and bad conditioning (corr. features):
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_log_med_lr_corr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_log_coef_med_corr.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_log_med_lr_corr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_log_coef_med_corr.pdf}\\
             \begin{footnotesize}
             Dotted lines indicate global minimizers.
                 %Dashed line in test loss indicates irreducible error due to $\sigma=1$
@@ -277,8 +277,8 @@
 \vspace{-0.4cm}
 GD with small $\alpha=0.025$ and indep. features:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_log_small_lr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_log_coef_small.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_log_small_lr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_log_coef_small.pdf}\\
             \begin{footnotesize}
                 %Dashed line in test loss indicates irreducible error due to $\sigma=1$
             \end{footnotesize}
@@ -292,8 +292,8 @@
 \vspace{-0.5cm}
 GD with large $\alpha=10$ and indep. features:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_log_large_lr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_log_coef_large.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_log_large_lr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_log_coef_large.pdf}\\
             \begin{footnotesize}
                 %Dashed line in test loss indicates irreducible error due to $\sigma=1$
             \end{footnotesize}
@@ -309,8 +309,8 @@
 \vspace{-0.4cm}
 SGD with medium $\alpha=0.03$ and indep. features:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_log_med_lr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_log_coef_med.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_log_med_lr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_log_coef_med.pdf}\\
             \begin{footnotesize}
                 %Dashed line in test loss indicates irreducible error due to $\sigma=1$
             \end{footnotesize}
@@ -323,8 +323,8 @@
 \vspace{-0.4cm}
 SGD with medium $\alpha=5\cdot10^{-2}$ and bad conditioning (corr. features):
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_log_med_lr_corr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_log_coef_med_corr.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_log_med_lr_corr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_log_coef_med_corr.pdf}\\
             \begin{footnotesize}
                 %Dashed line in test loss indicates irreducible error due to $\sigma=1$
             \end{footnotesize}
@@ -338,8 +338,8 @@
 \vspace{-0.4cm}
 SGD with small $\alpha=3\cdot10^{-4}$ and indep. features:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_log_small_lr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_log_coef_small.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_log_small_lr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_log_coef_small.pdf}\\
             \begin{footnotesize}
                 %Dashed line in test loss indicates irreducible error due to $\sigma=1$
             \end{footnotesize}
@@ -353,8 +353,8 @@
 \vspace{-0.4cm}
 SGD with large $\alpha=0.3$ and indep. features:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_log_large_lr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/SGD_log_coef_large.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_log_large_lr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/SGD_log_coef_large.pdf}\\
             \begin{footnotesize}
                 %Dashed line in test loss indicates irreducible error due to $\sigma=1$
             \end{footnotesize}
@@ -383,7 +383,7 @@
 \vspace{-0.3cm}
 Mini-batch SGD with $\alpha \in \{0.01, 0.1\}$ for 100 epochs (5000 iterations):
 \begin{figure}
-            \includegraphics[width=1.0\textwidth]{slides/04-multivariate-first-order/figure_man/simu_mnist/SGD_compar.pdf} \\
+            \includegraphics[width=1.0\textwidth]{figure_man/simu_mnist/SGD_compar.pdf} \\
             %\begin{footnotesize}
             %    Irreducible error due to additive noise is $\sigma=1$
             %\end{footnotesize}
@@ -404,7 +404,7 @@
 \vspace{-0.2cm}
 Why is it not a good idea to use GD in most DL applications? SGD is much faster. Compare runtime of mini-batch SGD (batch size=$100$) with GD (constant $\alpha=0.01$ without momentum for $t_{\text{max}}=5000$ iterations):
 \begin{figure}
-            \includegraphics[width=1.0\textwidth]{slides/04-multivariate-first-order/figure_man/simu_mnist/SGD_GD_compar.pdf} \\
+            \includegraphics[width=1.0\textwidth]{figure_man/simu_mnist/SGD_GD_compar.pdf} \\
             %\begin{footnotesize}
             %    Irreducible error due to additive noise is $\sigma=1$
             %\end{footnotesize}

diff --git a/slides/05-multivariate-second-order/slides-multivar-second-order-5-comparison.tex b/slides/05-multivariate-second-order/slides-multivar-second-order-5-comparison.tex
@@ -89,8 +89,8 @@
 \vspace{-0.3cm}
 Recall comparison of GD variants on log. reg. in last chapter:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_log_med_lr_iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/04-multivariate-first-order/figure_man/simu_linmod/GD_log_coef_med.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_log_med_lr_iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu_linmod/GD_log_coef_med.pdf}\\
             \begin{footnotesize}
             Dotted lines indicate global minimizers.
                 %Dashed line in test loss indicates irreducible error due to $\sigma=1$ 
@@ -105,8 +105,8 @@
 \vspace{-0.4cm}
 Let's run GD vs. NR for \textbf{$1000$ steps} (independent features):
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/05-multivariate-second-order/figure_man/simu-newton/NR_GD_log_indep_1000iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/05-multivariate-second-order/figure_man/simu-newton/NR_GD_log_coef_1000indep.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu-newton/NR_GD_log_indep_1000iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu-newton/NR_GD_log_coef_1000indep.pdf}\\
             \begin{footnotesize}
             Dotted lines indicate global minimizers.
                 %Dashed line in test loss indicates irreducible error due to $\sigma=1$ 
@@ -120,8 +120,8 @@
 \vspace{-0.4cm}
 Let's run the same configuration only for \textbf{$50$ steps} to see clearer picture:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/05-multivariate-second-order/figure_man/simu-newton/NR_GD_log_indep_50iters.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/05-multivariate-second-order/figure_man/simu-newton/NR_GD_log_coef_50indep.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu-newton/NR_GD_log_indep_50iters.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu-newton/NR_GD_log_coef_50indep.pdf}\\
             \begin{footnotesize}
             Dotted lines indicate global minimizers.
                 %Dashed line in test loss indicates irreducible error due to $\sigma=1$ 
@@ -136,7 +136,7 @@
 {\small Clearly, NR makes more progress than GD per iteration. OTOH Newton steps are much more expensive than GD updates\\
 $\Rightarrow$ How do NR and GD compare wrt runtime instead of iterations (50 steps)?}
 \begin{figure}
-            \includegraphics[width=1.0\textwidth]{slides/05-multivariate-second-order/figure_man/simu-newton/NR_GD_runtime_comparison.pdf} \\
+            \includegraphics[width=1.0\textwidth]{figure_man/simu-newton/NR_GD_runtime_comparison.pdf} \\
             %\begin{footnotesize}
             %    Irreducible error due to additive noise is $\sigma=1$
             %\end{footnotesize}
@@ -150,8 +150,8 @@
 \vspace{-0.4cm}
 In case of correlated features the results are very similar:
 \begin{figure}
-            \includegraphics[width=0.8\textwidth]{slides/05-multivariate-second-order/figure_man/simu-newton/NR_GD_log_indep_50iters_corr.pdf} \\
-             \includegraphics[width=0.8\textwidth]{slides/05-multivariate-second-order/figure_man/simu-newton/NR_GD_log_coef_50indep_corr.pdf}\\
+            \includegraphics[width=0.8\textwidth]{figure_man/simu-newton/NR_GD_log_indep_50iters_corr.pdf} \\
+             \includegraphics[width=0.8\textwidth]{figure_man/simu-newton/NR_GD_log_coef_50indep_corr.pdf}\\
             \begin{footnotesize}
             Dotted lines indicate global minimizers.
                 %Dashed line in test loss indicates irreducible error due to $\sigma=1$ 
@@ -166,7 +166,7 @@
 \bigskip
 
 \begin{figure}
-            \includegraphics[width=1.0\textwidth]{slides/05-multivariate-second-order/figure_man/simu-newton/NR_GD_runtime_comparison_corr.pdf} \\
+            \includegraphics[width=1.0\textwidth]{figure_man/simu-newton/NR_GD_runtime_comparison_corr.pdf} \\
             %\begin{footnotesize}
             %    Irreducible error due to additive noise is $\sigma=1$
             %\end{footnotesize}