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I am a research scientist with broad interests in practical and theoretical machine learning. My work on large scale learning. And stochastic gradient algorithms. Has received attention in the recent years. I am also known for the DjVu document compression. System. I joined Facebook AI Research. Use the sidebar to navigate this site. NYC Data Science Seminar. And I represent Facebook on the organizing committee of the NYC Data Science Seminar Series. And a Facebook page. Or such as the rarely read second...

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I am a research scientist with broad interests in practical and theoretical machine learning. My work on large scale learning. And stochastic gradient algorithms. Has received attention in the recent years. I am also known for the DjVu document compression. System. I joined Facebook AI Research. Use the sidebar to navigate this site. NYC Data Science Seminar. And I represent Facebook on the organizing committee of the NYC Data Science Seminar Series. And a Facebook page. Or such as the rarely read second...
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start [leon.bottou.org] | leon.bottou.org Reviews

https://leon.bottou.org

I am a research scientist with broad interests in practical and theoretical machine learning. My work on large scale learning. And stochastic gradient algorithms. Has received attention in the recent years. I am also known for the DjVu document compression. System. I joined Facebook AI Research. Use the sidebar to navigate this site. NYC Data Science Seminar. And I represent Facebook on the organizing committee of the NYC Data Science Seminar Series. And a Facebook page. Or such as the rarely read second...

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leon.bottou.org leon.bottou.org
1

papers:bottou-1996 [leon.bottou.org]

http://leon.bottou.org/papers/bottou-1996

Draft report: Document Analysis with Transducers. In retrospect, I believe that this early draft is a much better document than the published. Discussing the powerful Graph Transformer Networks. Léon Bottou, Yoshua Bengio and Yann LeCun:. Document Analysis with Transducers. Draft technical report, July 1996. Last modified: 2015/05/14 11:45 by.

2

projects [leon.bottou.org]

http://leon.bottou.org/projects

Large software packages with a life of their own. Very compact lisp interpreter. Free implementation of DjVu. Cross assembler for 8 bit processors. A c library to handle lisp expressions. Software closely associated with my research projects. Many parts of Lush. Could also be listed here. Quadratic programming code for SVM. Online SVM for large datasets. Stochastic gradient learning for linear SVMs and CRFs. The infinite MNIST dataset. Software that is no longer useful. Obsolete hacks to speedup KDE.

3

talks:gtn [leon.bottou.org]

http://leon.bottou.org/talks/gtn

This lecture describe Graph Transformer Networks It took place at the 2001 ICML workshop Machine Learning for Spatial and Temporal Data. Organized by Tom Dietterich. Are one of the most powerful and successful method for learning sequential data. About 10% to 20% of the checks written in the U.S. since 1996 have been processed by a Graph Transformer Network. Graph Transformer Networks are related to Conditional Random Fields. But have variable geometry and non-linear energies. See the slides (djvu 234KB).

4

papers:bottou-jmlr-2013 [leon.bottou.org]

http://leon.bottou.org/papers/bottou-jmlr-2013

Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising. Léon Bottou, Jonas Peters, Joaquin Quiñonero-Candela, Denis X. Charles, D. Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard and Ed Snelson: Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising. Journal of Machine Learning Research. 14(Nov):3207 3260, 2013. Link to the 2012 technical report page. The following typo has been corrected on 6/9/2014:.

5

projects:lasvm [leon.bottou.org]

http://leon.bottou.org/projects/lasvm

LASVM is an approximate SVM solver that uses online approximation. It reaches accuracies similar to that of a real SVM after performing a single sequential pass through the training examples. Further benefits can be achieved using selective sampling techniques to choose which example should be considered next. As show in the graph, LASVM requires. Than a regular SVM solver. This becomes a considerable. Speed advantage for large training sets. On a single processor. See the LaSVM paper. Split files are a ...

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energyfirefox.blogspot.com energyfirefox.blogspot.com

Energy Blog: ICML 2015

http://energyfirefox.blogspot.com/2015/07/icml-2015.html

Analysis, data mining and visualization. Понеділок, 27 липня 2015 р. ICML (International Conference of Machine Learning) - друга по значущості в світі в галузі машинного навчання ( link. Цьогорічна конференція складалась з трьох частин:. Туторіали, 1день. Цікавими були:. Natural Language Understanding: Foundations and State-of-the-Art ( slides. Policy Search: Methods and Applications ( slides. Advances in Structured Prediction ( slides. Власне конференція, 3 дні. 6 потоків презентацій статей одночасно&#4...

marktaviner.com marktaviner.com

artificial intelligence | marktaviner

https://marktaviner.com/category/artificial-intelligence

Deep Learning: Machine Learning becomes ‘Intelligent’, Artificially or Otherwise? June 25, 2015. June 30, 2015. 8216;Deep Learning’ is the new big thing. ‘Old Fashioned’ Academic AI from the second half of the C20th has passed through the last decades of a ‘narrower’ focus of Data Mining or Knowledge Discovery and Machine Learning to blossom in to what is now touted as a new, vibrant age. That much money can’t be wrong, can it? From the end of 2014. They all can’t be wrong, either, surely? Era This is I ...

humphreysheil.com humphreysheil.com

Humphrey Sheil | ICML 2015 - day one

http://www.humphreysheil.com/blog/icml-2015-day-one?comments=5

Humphrey Sheil - Blog. ICML 2015 - day one. Time again and this year the conference is in sunny and beautiful Lille, France. Day one has served up some tasty papers. First up, the keynote from Leon Bottou. Which should be mandatory reading for all ML coders, from beginner to master. The problems in a nutshell:. Bottou's keynote didn't really offer solutions (the problems are fundamental and ubiquitous throughout ML) but he did make one statement which resonated:. For the remainder of the day I attended D...

jmlr.org jmlr.org

JMLR Editorial Board

http://www.jmlr.org/editorial-board.html

MPI for Intelligent Systems. Illinois Institute of Technology, USA. University of Edinburgh, UK. Massachusetts Institute of Technology. MPI for Intelligent Systems. Massachusetts Institute of Technology. Massachusetts Institute of Technology. Edoardo M. Airoldi. Harvard University, USA. Statistics, Approximate inference, Causal inference, Network data analysis, Computational biology. Montanuniversitaet Leoben, Austria. Bandit problems, reinforcement learning, online learning. University College London, UK.

clgiles.ist.psu.edu clgiles.ist.psu.edu

C. Lee Giles: Students and Collaborators

http://clgiles.ist.psu.edu/collaborators.shtml

Dr C Lee Giles. Students, former students and collaborators (coauthor list) :. Penn State Ph.D. Have an impressive academic legacy. Which includes 2 Nobel laureates (Heisenberg and Bloch) and promiment mathematicans such as Euler, Fourier, Gauss, Lagrange, Laplace, Leibniz, Lipschtiz, Poisson, and others. Whose Ph.D. dissertation or Master's thesis I advised. At the Pennsylvania State University. Who attends or attended the Pennsylvania State University. Denotes other current or former students. Professo...

scottlocklin.wordpress.com scottlocklin.wordpress.com

Torch7 notes | Locklin on science

https://scottlocklin.wordpress.com/torch7-notes

Skip to search - Accesskey = s. To be updated as I go along:. My difficulties with torch and lua might be helpful to someone else in the future…. Torch is pretty cool, when it works. I can’t imagine having to deploy it in an industrial setting at my present state of Torchitude. The deploy process seems too insane at present. Still, anything even tangentially associated with les phr0gs. Is worth figuring out, as I am still a big fan of Lush. For screwing around with scripts and learning things, I’d ...

learningsemanticsnips2011.wordpress.com learningsemanticsnips2011.wordpress.com

Call for Abstracts | Learning Semantics – NIPS 2011 Workshop

https://learningsemanticsnips2011.wordpress.com/2011/08/25/call-for-abstracts

Learning Semantics – NIPS 2011 Workshop. Special Issue on Learning Semantics in Machine Learning. August 25, 2011. Videos of most talks are available from techtalks.tv. A Special Issue on Learning Semantics. Is on in Machine Learning. Melia Sierra Nevada and Melia Sol y Nieve, Sierra Nevada, Spain. Saturday December 17, 2011. How should meaning representations be structured to be easily interpretable by a computer and still express rich and complex knowledge? 8211; UIUC – Pascal2 Invited Speaker. 8211; C...

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Learning English On the Net (LEON). Discussion and journal of research, presentations, discoveries, questions, feedback, reactions, and useful information on LEON. Links to the newest web resources for effectively learning and teaching English on the Internet through technology and mobile communication. This blog includes my own personal journey in accomplishing the goal of making effective use of computer / technology tools for teaching English. Thursday, February 08, 2018. August 5-9, 2018. This presen...

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start [leon.bottou.org]

I am a research scientist with broad interests in practical and theoretical machine learning. My work on large scale learning. And stochastic gradient algorithms. Has received attention in the recent years. I am also known for the DjVu document compression. System. I joined Facebook AI Research. Use the sidebar to navigate this site. NYC Data Science Seminar. And I represent Facebook on the organizing committee of the NYC Data Science Seminar Series. And a Facebook page. Or such as the rarely read second...

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