Nicolas L. Roux
5 papers · 2007–2012 · 1 venue · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🌱 Topic Pioneer
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Keyword Trendsetter Combo
(4)
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Keyword Pioneer
🗃️
Keyword Collector
(53)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Optimization & Theory · Machine Learning
(3)
Optimization & Theory · Deep Learning
(3)
Core Methods
(2)
Learning Types
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Analysis
(1)
Core AI · Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Representation
(1)
Keywords
convex optimization
(2)
convergence rate
(2)
optimization algorithm
(2)
stochastic gradient descent
(2)
online learning
(1)
manifold learning
(1)
stochastic gradient
(1)
matrix factorization
(1)
feature learning
(1)
distributional similarity
(1)
knowledge base
(1)
natural gradient
(1)
gradient descent
(1)
image structure
(1)
image topology
(1)
generalization error
(1)
topology learning
(1)
pixel distribution
(1)
topology extraction
(1)
large-scale optimization
(1)
Papers
A latent factor model for highly multi-relational data
NeurIPS 2012
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets
NeurIPS 2012
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
NeurIPS 2011
Learning the 2-D Topology of Images
NeurIPS 2007
Topmoumoute Online Natural Gradient Algorithm
NeurIPS 2007