Project-Team Sierra
Members
Overall Objectives
Statement
Highlights of the Year
Research Program
Supervised Learning
Unsupervised Learning
Parsimony
Optimization
Application Domains
Application Domains
Natural Language Processing
Software and Platforms
SPAMS (SPArse Modeling Software)
BCFWstruct
SAG
fMRI
New Results
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Minimizing Finite Sums with the Stochastic Average Gradient.
Fast Convergence of Stochastic Gradient Descent under a Strong Growth Condition
Non-strongly-convex smooth stochastic approximation with convergence rate
O
(
1
/
n
)
Streaming Bayesian Inference
Convex Relaxations for Permutation Problems
Phase retrieval for imaging problems
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression
Maximizing submodular functions using probabilistic graphical models
Reflection methods for user-friendly submodular optimization
Convex Relaxations for Learning Bounded Treewidth Decomposable Graphs
Large-Margin Metric Learning for Partitioning Problems
Comparison between multi-task and single-task oracle risks in kernel ridge regression
Sharp analysis of low-rank kernel matrix approximations
fMRI encoding and decoding models
Structured Penalties for Log-linear Language Models
Distributed Large-scale Natural Graph Factorization
Evaluating Speech Features with the Minimal-Pair ABX task
Hidden Markov Tree Models for Semantic Class Induction
Domain Adaptation for Sequence Labeling using Hidden Markov Models
Simple Greedy Matching for Aligning Large Knowledge Bases
Bilateral Contracts and Grants with Industry
Bilateral Contracts with Industry
Bilateral Grants with Industry
Partnerships and Cooperations
National Initiatives
European Initiatives
International Initiatives
International Research Visitors
Dissemination
Scientific Animation
Teaching - Supervision - Juries
Popularization
Bibliography
Publications of the year
References in notes
Inria
|
Raweb 2013
|
Presentation of the Project-Team SIERRA
|
SIERRA Web Site
PDF
e-Pub
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Section: Dissemination
Popularization
A. d'Aspremont, Journée Big Data, ENSAI, Rennes, November 2013.
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