University of Cambridge > Talks.cam > Machine Learning Reading Group @ CUED > "Structured sparsity and convex optimization"

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

"Structured sparsity and convex optimization"

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Konstantina Palla.

The concept of parsimony is central in many scientific domains. In the context of statistics, signal processing or machine learning, it takes the form of variable or feature selection problems, and is commonly used in two situations: First, to make the model or the prediction more interpretable or cheaper to use, i.e., even if the underlying problem does not admit sparse solutions, one looks for the best sparse approximation. Second, sparsity can also be used given prior knowledge that the model should be sparse. In these two situations, reducing parsimony to finding models with low cardinality turns out to be limiting, and structured parsimony has emerged as a fruitful practical extension, with applications to image processing, text processing or bioinformatics. In this talk, I will review recent results on structured sparsity, as it applies to machine learning and signal processing. (joint work with R. Jenatton, J. Mairal and G. Obozinski)

This talk is part of the Machine Learning Reading Group @ CUED series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Statistics Reading Group St Catharine's Lecture Series Decolonising the Curriculum

Other talks

Molecular mechanisms of cardiomyopathies in patients with severe non-ischemic heart failure Determining structures in situ using cryo-electron tomography:enveloped viruses and coated vesicles Yikes! Why did past-me say he'd give a talk on future discounting? Breckland, birds and conservation Modelling mitochondrial dysfunction in Parkinson’s disease: mitophagy, calcium and beyond Practical Steps to Addressing Unconscious / Implicit Bias "Mechanosensitive regulation of cancer epigenetics and pluripotency" Lecture Supper: James Stuart: Radical liberalism, ‘non-gremial students’ and continuing education Unbiased Estimation of the Eigenvalues of Large Implicit Matrices Dynamics of Phenotypic and Genomic Evolution in a Long-Term Experiment with E. coli Atiyah Floer conjecture Making Refuge: Calais and Cambridge
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity