Moved chapter 14 to 15

Author: all2187

chapter_14/chapter_14.tex

@@ -1,9 +1,5 @@
-\chapter{Autoencoders}
+\chapter{Hyperbolic Embeddings}
 \begin{refsection}
-
-\input{chapter_14/1_background}
-\input{chapter_14/2_ica}
-\input{chapter_14/3_gd}
-
+%\input{chapter_14/...}
 \printbibliography[heading=subbibliography]
 \end{refsection}

chapter_14/references.bib

@@ -1,51 +0,0 @@
-@article{alain2014regularized,
-  title={What regularized auto-encoders learn from the data-generating distribution},
-  author={Alain, Guillaume and Bengio, Yoshua},
-  journal={The Journal of Machine Learning Research},
-  volume={15},
-  number={1},
-  pages={3563--3593},
-  year={2014},
-  publisher={JMLR. org}
-}
-
-@article{doersch2016tutorial,
-  title={Tutorial on variational autoencoders},
-  author={Doersch, Carl},
-  journal={arXiv preprint arXiv:1606.05908},
-  year={2016}
-}
-
-@inproceedings{sohn2015learning,
-  title={Learning structured output representation using deep conditional generative models},
-  author={Sohn, Kihyuk and Lee, Honglak and Yan, Xinchen},
-  booktitle={Advances in neural information processing systems},
-  pages={3483--3491},
-  year={2015}
-}
-
-@article{higgins2017beta,
-  title={beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework.},
-  author={Higgins, Irina and Matthey, Loic and Pal, Arka and Burgess, Christopher and Glorot, Xavier and Botvinick, Matthew and Mohamed, Shakir and Lerchner, Alexander},
-  journal={Iclr},
-  volume={2},
-  number={5},
-  pages={6},
-  year={2017}
-}
-
-@inproceedings{arora2012provable,
-  title={Provable ICA with unknown Gaussian noise, with implications for Gaussian mixtures and autoencoders},
-  author={Arora, Sanjeev and Ge, Rong and Moitra, Ankur and Sachdeva, Sushant},
-  booktitle={Advances in Neural Information Processing Systems},
-  pages={2375--2383},
-  year={2012}
-}
-
-@inproceedings{nguyen2019dynamics,
-  title={On the dynamics of gradient descent for autoencoders},
-  author={Nguyen, Thanh V and Wong, Raymond KW and Hegde, Chinmay},
-  booktitle={The 22nd International Conference on Artificial Intelligence and Statistics},
-  pages={2858--2867},
-  year={2019}
-}

chapter_14/1_background.tex chapter_15/1_background.tex

@@ -0,0 +1,9 @@
+\chapter{Autoencoders}
+\begin{refsection}
+
+\input{chapter_15/1_background}
+\input{chapter_15/2_ica}
+\input{chapter_15/3_gd}
+
+\printbibliography[heading=subbibliography]
+\end{refsection}

chapter_14/2_ica.tex chapter_15/2_ica.tex

@@ -0,0 +1,51 @@
+@article{alain2014regularized,
+  title={What regularized auto-encoders learn from the data-generating distribution},
+  author={Alain, Guillaume and Bengio, Yoshua},
+  journal={The Journal of Machine Learning Research},
+  volume={15},
+  number={1},
+  pages={3563--3593},
+  year={2014},
+  publisher={JMLR. org}
+}
+
+@article{doersch2016tutorial,
+  title={Tutorial on variational autoencoders},
+  author={Doersch, Carl},
+  journal={arXiv preprint arXiv:1606.05908},
+  year={2016}
+}
+
+@inproceedings{sohn2015learning,
+  title={Learning structured output representation using deep conditional generative models},
+  author={Sohn, Kihyuk and Lee, Honglak and Yan, Xinchen},
+  booktitle={Advances in neural information processing systems},
+  pages={3483--3491},
+  year={2015}
+}
+
+@article{higgins2017beta,
+  title={beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework.},
+  author={Higgins, Irina and Matthey, Loic and Pal, Arka and Burgess, Christopher and Glorot, Xavier and Botvinick, Matthew and Mohamed, Shakir and Lerchner, Alexander},
+  journal={Iclr},
+  volume={2},
+  number={5},
+  pages={6},
+  year={2017}
+}
+
+@inproceedings{arora2012provable,
+  title={Provable ICA with unknown Gaussian noise, with implications for Gaussian mixtures and autoencoders},
+  author={Arora, Sanjeev and Ge, Rong and Moitra, Ankur and Sachdeva, Sushant},
+  booktitle={Advances in Neural Information Processing Systems},
+  pages={2375--2383},
+  year={2012}
+}
+
+@inproceedings{nguyen2019dynamics,
+  title={On the dynamics of gradient descent for autoencoders},
+  author={Nguyen, Thanh V and Wong, Raymond KW and Hegde, Chinmay},
+  booktitle={The 22nd International Conference on Artificial Intelligence and Statistics},
+  pages={2858--2867},
+  year={2019}
+}

chapter_14/3_gd.tex chapter_15/3_gd.tex

@@ -1,7 +1,7 @@
 #!/bin/bash
 
 FIRST_CHAPTER=1
-LAST_CHAPTER=14
+LAST_CHAPTER=15
 
 
 preamble="\documentclass[11pt]{book}
@@ -86,7 +86,7 @@ echo "" >> main.tex
 echo "" >> main.tex
 
 ### bibresource
-for ((i=1;i<=14;i++))
+for ((i=$FIRST_CHAPTER;i<=$LAST_CHAPTER;i++))
 do
     if [[ CHAPTERS[$i] -eq 1 ]]; then
 	echo "\addbibresource{chapter_$i/references}" >> main.tex
@@ -176,7 +176,7 @@ if [[ include_part -eq 1 ]]; then
     echo "" >> main.tex
 fi
 
-for ((i=11;i<=14;i++))
+for ((i=11;i<=$LAST_CHAPTER;i++))
 do
     if [[ CHAPTERS[$i] -eq 1 ]]; then
 	echo "\include{chapter_$i/chapter_$i}" >> main.tex