logos and bib

_bib/lecture1.bib

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+%% Saved with string encoding Unicode (UTF-8) 
+
+@ARTICLE{top10,
+	author = {Sullivan, Francis and Dongarra, Jack},
+	journal = {Computing in Science \& Engineering},
+	title = {{Guest Editors' Introduction: The Top 10 Algorithms}},
+	year={2000},
+	volume={2},
+	number={1},
+	pages={22-23},
+	doi={10.1109/MCISE.2000.814652},
+	ISSN={1521-9615},
+	month={Jan}
+}
+
+@article{Novembre2008,
+	author = {Novembre, John and Johnson, Toby and Bryc, Katarzyna and Kutalik, Zolt{\'{a}}n and Boyko, Adam R and Auton, Adam and Indap, Amit and King, Karen S and Bergmann, Sven and Nelson, Matthew R and Stephens, Matthew and Bustamante, Carlos D},
+	journal = {Nature},
+	month = {Aug},
+	pages = {98},
+	publisher = {Macmillan Publishers Limited. All rights reserved},
+	title = {{Genes mirror geography within Europe}},
+	doi={10.1038/nature07331},
+	volume = {456},
+	year = {2008}
+}
+
+
+@article{Cox1946,
+	author = {Cox,R. T. },
+	title = {{Probability, Frequency and Reasonable Expectation}},
+	journal = {American Journal of Physics},
+	volume = {14},
+	number = {1},
+	pages = {1-13},
+	year = {1946},
+	doi = {10.1119/1.1990764}
+}
+
+@book{Savage2012,
+	title={{The Foundations of Statistics}},
+	author={Savage, Leonard J.},
+	isbn={9780486137100},
+	series={Dover Books on Mathematics},
+	year={2012},
+	publisher={Dover Publications}
+}
+
+@book{de2017,
+	title={{Theory of Probability: A Critical Introductory Treatment}},
+	author={de Finetti, Bruno},
+	isbn={9781119286370},
+	lccn={2016031568},
+	series={Wiley Series in Probability and Statistics},
+	year={2017},
+	publisher={Wiley}
+}
+
+

_bib/lecture2.bib

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+%% Saved with string encoding Unicode (UTF-8) 
+
+@book{SSS,
+ author = {Shalev-Shwartz, Shai and Ben-David, Shai},
+ title = {Understanding Machine Learning: From Theory to Algorithms},
+ year = {2014},
+ isbn = {1107057132, 9781107057135},
+ publisher = {Cambridge University Press},
+ address = {New York, NY, USA},
+} 
+@article{chen-shah,
+url = {http://dx.doi.org/10.1561/2200000064},
+year = {2018},
+volume = {10},
+journal = {Foundations and Trends® in Machine Learning},
+title = {Explaining the Success of Nearest Neighbor Methods in Prediction},
+doi = {10.1561/2200000064},
+issn = {1935-8237},
+number = {5-6},
+pages = {337-588},
+author = {George H. Chen and Devavrat Shah}
+}
+
+@article{belkin2019reconciling,
+  title={Reconciling modern machine-learning practice and the classical bias--variance trade-off},
+  author={Belkin, Mikhail and Hsu, Daniel and Ma, Siyuan and Mandal, Soumik},
+  journal={Proceedings of the National Academy of Sciences},
+  volume={116},
+  number={32},
+  pages={15849--15854},
+  year={2019},
+  publisher={National Acad Sciences}
+}
+
+@article{cover1967nearest,
+  title={Nearest neighbor pattern classification},
+  author={Cover, Thomas and Hart, Peter},
+  journal={IEEE transactions on information theory},
+  volume={13},
+  number={1},
+  pages={21--27},
+  year={1967},
+  publisher={IEEE}
+}

_bib/lecture20.bib

@@ -0,0 +1,63 @@
+%% Saved with string encoding Unicode (UTF-8) 
+
+@incollection{Crowdsourcing,
+title = {Variational Inference for Crowdsourcing},
+author = {Liu, Qiang and Peng, Jian and Ihler, Alexander T},
+booktitle = {Advances in Neural Information Processing Systems 25},
+editor = {F. Pereira and C. J. C. Burges and L. Bottou and K. Q. Weinberger},
+pages = {692--700},
+year = {2012},
+publisher = {Curran Associates, Inc.},
+url = {http://papers.nips.cc/paper/4627-variational-inference-for-crowdsourcing.pdf}
+}
+
+@inproceedings{wind,
+ author = {Kapoor, Ashish and Horvitz, Zachary and Laube, Spencer and Horvitz, Eric},
+ title = {Airplanes Aloft As a Sensor Network for Wind Forecasting},
+ booktitle = {Proceedings of the 13th International Symposium on Information Processing in Sensor Networks},
+ series = {IPSN '14},
+ year = {2014},
+ isbn = {978-1-4799-3146-0},
+ location = {Berlin, Germany},
+ pages = {25--34},
+ numpages = {10},
+ url = {http://dl.acm.org/citation.cfm?id=2602339.2602343},
+ acmid = {2602343},
+ publisher = {IEEE Press},
+ address = {Piscataway, NJ, USA},
+ keywords = {gaussian process, machine learning, winds aloft},
+} 
+
+@ARTICLE{alpha, 
+author={Y. {Boykov} and O. {Veksler} and R. {Zabih}}, 
+journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
+title={Fast approximate energy minimization via graph cuts}, 
+year={2001}, 
+volume={23}, 
+number={11}, 
+pages={1222-1239}, 
+keywords={computer vision;image restoration;minimisation;computational complexity;simulated annealing;fast approximate energy minimization;graph cuts;computer vision;common constraint;sharp discontinuities;object boundaries;energy minimization;smoothness constraints;global minimization;NP-hard;discontinuity-preserving case;approximation algorithms;local minimum;expansion moves;swap moves;arbitrarily large sets;standard algorithms;simulated annealing;expansion algorithm;global minimum;swap algorithm;general energy functions;discontinuity preserving energies;image restoration;ground truth;early vision;graph algorithms;minimum cut;maximum flow;Markov Random fields;Labeling;Image restoration;Stereo vision;Minimization methods;Markov random fields;Energy measurement;Computer vision;Approximation algorithms;Simulated annealing;Motion estimation}, 
+doi={10.1109/34.969114}, 
+ISSN={1939-3539}, 
+month={Nov},}
+
+@INPROCEEDINGS{tappen, 
+author={ {Tappen} and {Freeman}}, 
+booktitle={Proceedings Ninth IEEE International Conference on Computer Vision}, 
+title={Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters}, 
+year={2003}, 
+volume={}, 
+number={}, 
+pages={900-906 vol.2}, 
+keywords={computer vision;stereo image processing;graph theory;Markov processes;random processes;belief networks;inference mechanisms;graph cuts;belief propagation;identical MRF parameters;disparity image modelling;Markov Random Field;inference algorithm;controlled experiments;stereo disparities;computational vision;Belief propagation;Inference algorithms;Stereo vision;Markov random fields;Computer vision;Pixel;Labeling;Testing;Computational efficiency;Costs}, 
+doi={10.1109/ICCV.2003.1238444}, 
+ISSN={null}, 
+month={Oct},}
+
+@misc{CrowdsourcingSlides,
+  Author = {Liu, Qiang and Peng, Jian and Ihler, Alexander T},
+  Howpublished = {Presented in NIPS 2012},
+  Year = {2012},
+  Title = {A Graphical Model Approach for Crowdsourcing (Slides)},
+  url = {https://www.cs.utexas.edu/~lqiang/PDF/crowdsrc_aiml.pdf},
+}

_bib/lecture21.bib

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+%% Saved with string encoding Unicode (UTF-8) 
+

_bib/lecture22.bib

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+%% Saved with string encoding Unicode (UTF-8) 

_bib/lecture3.bib

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+%% Saved with string encoding Unicode (UTF-8) 
+

_bib/lecture4.bib

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+%% Saved with string encoding Unicode (UTF-8) 
+
+@inproceedings{ng2002discriminative,
+  title={On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes},
+  author={Ng, Andrew Y and Jordan, Michael I},
+  booktitle={Advances in neural information processing systems},
+  pages={841--848},
+  year={2002}
+}

_bib/lecture5.bib

@@ -0,0 +1,10 @@
+%% Saved with string encoding Unicode (UTF-8) 
+
+@book{SSS,
+ author = {Shalev-Shwartz, Shai and Ben-David, Shai},
+ title = {Understanding Machine Learning: From Theory to Algorithms},
+ year = {2014},
+ isbn = {1107057132, 9781107057135},
+ publisher = {Cambridge University Press},
+ address = {New York, NY, USA},
+} 

_bib/lecture6.bib

@@ -0,0 +1,21 @@
+%% Saved with string encoding Unicode (UTF-8) 
+
+@book{SSS,
+ author = {Shalev-Shwartz, Shai and Ben-David, Shai},
+ title = {Understanding Machine Learning: From Theory to Algorithms},
+ year = {2014},
+ isbn = {1107057132, 9781107057135},
+ publisher = {Cambridge University Press},
+ address = {New York, NY, USA},
+} 
+
+@article{pearson1903laws,
+  title={On the laws of inheritance in man: I. Inheritance of physical characters},
+  author={Pearson, Karl and Lee, Alice},
+  journal={Biometrika},
+  volume={2},
+  number={4},
+  pages={357--462},
+  year={1903},
+  publisher={JSTOR}
+}

_bib/lecture7.bib

@@ -0,0 +1,46 @@
+%% Saved with string encoding Unicode (UTF-8) 
+
+@book{SSS,
+ author = {Shalev-Shwartz, Shai and Ben-David, Shai},
+ title = {Understanding Machine Learning: From Theory to Algorithms},
+ year = {2014},
+ isbn = {1107057132, 9781107057135},
+ publisher = {Cambridge University Press},
+ address = {New York, NY, USA},
+} 
+
+@book{bishop2006pattern,
+  title={Pattern recognition and machine learning},
+  author={Bishop, Christopher M},
+  year={2006},
+  publisher={springer}
+}
+
+@article{hoerl1970ridge,
+  title={Ridge regression: Biased estimation for nonorthogonal problems},
+  author={Hoerl, Arthur E and Kennard, Robert W},
+  journal={Technometrics},
+  volume={12},
+  number={1},
+  pages={55--67},
+  year={1970},
+  publisher={Taylor \& Francis Group}
+}
+
+@article{liang2018just,
+  title={Just interpolate: Kernel ``ridgeless'' regression can generalize},
+  author={Liang, Tengyuan and Rakhlin, Alexander},
+  journal={arXiv preprint arXiv:1808.00387},
+  year={2018}
+}
+
+@article{hastie2005elements,
+  title={The elements of statistical learning: data mining, inference and prediction},
+  author={Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome and Franklin, James},
+  journal={The Mathematical Intelligencer},
+  volume={27},
+  number={2},
+  pages={83--85},
+  year={2005},
+  publisher={Springer}
+}

_bib/main.bib

@@ -0,0 +1,8 @@
+%% Saved with string encoding Unicode (UTF-8) 
+
+@online{ermon,
+  title={Sampling Methods},
+  author={Kuleshov, Volodymyr and Ermon, Stefano},
+  howpublished="\url{https://ermongroup.github.io/cs228-notes/inference/sampling/}",
+  year={2018}
+}