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Léon Bottou

Known as: Leon Bottou 
Léon Bottou is a researcher best known for his work in machine learning and data compression. His work presents stochastic gradient descent as a… Expand
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Related topics

Related topics

12 relations
Conditional random fieldData compressionDjVuInternational Association for Pattern Recognition
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Unsupervised Learning by Predicting Noise
Convolutional neural networks provide visual features that perform remarkably well in many computer vision applications. However… Expand
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Highly Cited
2015
Highly Cited
2015
The Self-Normalized Estimator for Counterfactual Learning
This paper identifies a severe problem of the counterfactual risk estimator typically used in batch learning from logged bandit… Expand
2013
2013
The Institution, the Economy and the Market: Karl Polanyi's Institutional Thought for Economists
This paper aims to clarify the logical structure of Karl Polanyi's concept of institution, especially with regard to his most… Expand
Highly Cited
2010
Highly Cited
2010
SMO-Style Algorithms for Learning Using Privileged Information
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this… Expand
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2010
2010
4 Remembering One and All: Early Postclassic Residential Burial in Coastal Oaxaca, Mexico
Residential burial at RViejo marked deceased adults as members of particular houses and as witnesses and actors within the world… Expand
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Highly Cited
2009
Highly Cited
2009
How Stable are Monetary Models of the Dollar-Euro Exchange Rate? A Time-Varying Coefficient Approach
This paper examines the significance of different fundamental regimes by applying various monetary models of the exchange rate to… Expand
2009
2009
Variable Metric Stochastic Approximation Theory
We provide a variable metric stochastic approximation theory. In doing so, we provide a convergence theory for a large class of… Expand
Highly Cited
2005
Highly Cited
2005
Learning to rank using gradient descent
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function… Expand
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Highly Cited
2004
Highly Cited
2004
Évolution des idées sur le traitement chirurgical des prolapsus génitaux: Naissance de la technique TVM
Resume Objectifs Presentation d’une technique de cure de prolapsus urogenital a l’aide d’un treillis synthetique monobloc avec… Expand
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Highly Cited
2001
Highly Cited
2001
The Geometry of the Scroll Compressor
The scroll compressor is an ingenious machine used for compressing air or refrigerant; it was originally invented in 1905 by Leon… Expand
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