On Learning Discrete Graphical Models using Group-Sparse Regularization

By Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki, Sujay Sanghavi. 2011

94 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Vadim Lebedev
2. Victor S. Lempitsky
3. Sivaraman Balakrishnan
4. Luc Van Gool
5. Yi Yang
6. Trevor Darrell
7. Andrea Vedaldi
8. Yoshua Bengio

Citations in the corpus

• Fast ConvNets Using Group-Wise Brain Damage (2015, methodology): “pproach is also related to methods that use structured sparsity [36, 32, 18] to discover optimal architectures of certain machine learners, e.g. to discover the optimal structure of a graphical model [17] or the optimal receptive fields in the two layered image classifier [19]. On the other hand, sinc”
• Finding and Leveraging Structure in Learning Problems (2012, result): “, 2010] and more recently structure consistency (sparsistency) results were obtained in [Jalali et al., 2011].”