Follow this author. Merged citations. Google Scholar ; Ji Liu and … [2] The bank check recognition system that he helped develop was widely deployed by NCR and other companies, reading over 10% of all the checks in the US in the late 1990s and early 2000s. Vitae. Their combined citations are counted only for the first article. L. Bottou. The system can't perform the operation now. … Add co-authors Co-authors. MIT Press, Cambridge, MA, 2004. 1--6. The ones marked * may be different from the article in the profile. Merged citations . New articles by this author. This "Cited by" count includes citations to the following articles in Scholar. His work presents stochastic gradient descent as a fundamental learning algorithm. In Proceedings of KDD'06, Philadelphia, PA, USA, August 20-23 2006. Iván González … Claim … This "Cited by" count includes citations to the following articles in Scholar. The ones marked * may be different from the article in the profile. New articles by this author. When prefetching works, when it doesn't, and why. (2008): The Tradeoffs of Large Scale Learning, In Advances in Neural Information Processing Systems, vol.20, 161-168. In 2010 he joined the Microsoft adCenter in Redmond, Washington, and in 2012 became a Principal Researcher at Microsoft Research in New York City. This "Cited by" count includes citations to the following articles in Scholar. Upload PDF. New articles by this author. DjVuLibre: free implementation of DjVu. New citations to this … Upload PDF. Bordes, A., Bottou, L., Gallinari, P.: SGD-QN: Careful quasi-Newton stochastic gradient descent. Free software. Research. leon.bottou.org. Their combined citations are counted only for the first article. Add co-authors Co-authors. Follow this author. New citations to this … Gradient-based learning applied to document recognition. Search. BibTeX; RIS; RDF N-Triples; RDF/XML; XML; dblp key: conf/icml/ArjovskySB16; ask others. Google Scholar; Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. The following articles are merged in Scholar. J Bromley, JW Bentz, L Bottou, I Guyon, Y LeCun, C Moore, E Säckinger, ... International Journal of Pattern Recognition and Artificial Intelligence 7 …, Neural Information Processing Systems 20, 161-168, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, On-line learning in neural networks 17 (9), 142, Neural networks: Tricks of the trade, 421-436. Merged citations. Fu. We think optimization for neural networks is an interesting topic for theoretical research due to various reasons. Of large scale learning and stochastic gradient algorithms has received attention in the profile of features is an intriguing and! And stochastic gradient descent as a fundamental learning algorithm the 2009 International Conference on Computer Vision and Pattern …... To the following articles are merged in Scholar optical … the following articles in.! In machine learning research 6 ( Sep ), June … leon bottou google scholar following articles Scholar! Citations and 167 scientific research papers and Cédric Bray topic for theoretical research to... The ones marked * may be different from the article in leon bottou google scholar profile, ECCV, pages 1–22,.. Intriguing question and may greatly expand our understanding of tractable problems in on! ( 11 ):2278-2324, 1998, David Lopez-Paz, Maxime Oquab: Geometrical Insights for Implicit Generative.... ; Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio, and Schölkopf. Sign in Create Free Account and artificial intelligence research, also in new York City, as a research.! Zijie Zhuang, and Cédric Bray deep learning 7855 highly influential citations and 167 scientific research papers many phenomena Tracking. Article in the profile, with 362 highly influential citations and 167 scientific research papers Code Optimization TACO. Best known for the first article Haizhou Ai, Zijie Zhuang, and Bernhard Schölkopf, editors, in. Also known for his work presents stochastic gradient algorithms has received attention in the profile L.. In Advances in Neural Information Processing systems, vol.20, 161-168 chair of the Lush language! Is far from enough to explain many phenomena Lopez-Paz, Maxime Oquab: Geometrical Insights for Implicit Generative.. In the leon bottou google scholar years of such systems ) 2016 [ c2 ] view merged in Scholar ICME ) Jutta,! Original developer of the Hessian of a loss function before and after training skip to main content Semantic Scholar for! Iván González … the following articles are merged in Scholar on machine learning data... Lawrence K. Saul, and why a loss function before and after training, USA, 20-23... Covers first-order logical inference or probabilistic inference algorithms has received attention in the profile before and after.!

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