AI Training - Max

references.bib

@@ -14,7 +14,20 @@ @article{oecd22
    doi = "https://doi.org/https://doi.org/10.1787/7babf571-en" 
 }
 
+@article{ruder2016overview,
+  title={An overview of gradient descent optimization algorithms},
+  author={Ruder, Sebastian},
+  journal={arXiv preprint arXiv:1609.04747},
+  year={2016}
+}
 
+@inproceedings{abadi2016tensorflow,
+	title        = {$\{$TensorFlow\$\}\$: a system for \$\{\$Large-Scale\$\}\$ machine learning},
+	author       = {Abadi, Mart{\'\i}n and Barham, Paul and Chen, Jianmin and Chen, Zhifeng and Davis, Andy and Dean, Jeffrey and Devin, Matthieu and Ghemawat, Sanjay and Irving, Geoffrey and Isard, Michael and others},
+	year         = 2016,
+	booktitle    = {12th USENIX symposium on operating systems design and implementation (OSDI 16)},
+	pages        = {265--283},
+}
 
 @inproceedings{sculley2015hidden,
 	title        = {"Everyone wants to do the model work, not the data work": Data Cascades in High-Stakes AI},
@@ -31,6 +44,39 @@ @inproceedings{kocher1996timing
   organization={Springer}
 }
 
+@inproceedings{DBLP:journals/corr/KingmaB14,
+  author       = {Diederik P. Kingma and
+                  Jimmy Ba},
+  editor       = {Yoshua Bengio and
+                  Yann LeCun},
+  title        = {Adam: {A} Method for Stochastic Optimization},
+  booktitle    = {3rd International Conference on Learning Representations, {ICLR} 2015,
+                  San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings},
+  year         = {2015},
+  url          = {http://arxiv.org/abs/1412.6980},
+  timestamp    = {Thu, 25 Jul 2019 14:25:37 +0200},
+  biburl       = {https://dblp.org/rec/journals/corr/KingmaB14.bib},
+  bibsource    = {dblp computer science bibliography, https://dblp.org}
+}
+
+@article{dahl2023benchmarking,
+  title={Benchmarking Neural Network Training Algorithms},
+  author={Dahl, George E and Schneider, Frank and Nado, Zachary and Agarwal, Naman and Sastry, Chandramouli Shama and Hennig, Philipp and Medapati, Sourabh and Eschenhagen, Runa and Kasimbeg, Priya and Suo, Daniel and others},
+  journal={arXiv preprint arXiv:2306.07179},
+  year={2023}
+}
+
+
+@article{afib,
+	title        = {Mobile Photoplethysmographic Technology to Detect Atrial Fibrillation},
+	author       = {Yutao Guo  and Hao Wang  and Hui Zhang  and Tong Liu  and Zhaoguang Liang  and Yunlong Xia  and Li Yan  and Yunli Xing  and Haili Shi  and Shuyan Li  and Yanxia Liu  and Fan Liu  and Mei Feng  and Yundai Chen  and Gregory Y.H. Lip  and null null},
+	year         = 2019,
+	journal      = {Journal of the American College of Cardiology},
+	volume       = 74,
+	number       = 19,
+	pages        = {2365--2375},
+}
+
 @inproceedings{agrawal2003side,
   title={The EM side—channel (s)},
   author={Agrawal, Dakshi and Archambeault, Bruce and Rao, Josyula R and Rohatgi, Pankaj},