Conference topics

• Compressive sensing & learning
• Representation learning (sparse coding, dictionary & deep learning)
• Low-rank approximation, matrix & tensor decomposition
• Phase retrieval, inverse problems with sparsity
• Sparsity in approximation theory, information theory or statistics
• Bayesian sparse modeling & inferenceOptimization theory & algorithms for sparsity
• Sparse graph & network analysis
• Low-complexity/low-dimensional models
• Applications