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Lifting the convex conjugate in Lagrangian relaxations: A Tractable Approach for Continuous Markov Random Fields (bibtex)
Lifting the convex conjugate in Lagrangian relaxations: A Tractable Approach for Continuous Markov Random Fields (bibtex)
by H. Bauermeister, E. Laude, T. Moellenhoff, M. Moeller and D. Cremers
Reference:
Lifting the convex conjugate in Lagrangian relaxations: A Tractable Approach for Continuous Markov Random Fields (H. Bauermeister, E. Laude, T. Moellenhoff, M. Moeller and D. Cremers), In arXiv preprint, 2021. 
Bibtex Entry:
@article{laude2021lifting,
 title = {Lifting the convex conjugate in Lagrangian relaxations: A Tractable Approach for Continuous Markov Random Fields},
 author = {H. Bauermeister and E. Laude and T. Moellenhoff and M. Moeller and D. Cremers},
 year = {2021},
 journal = {arXiv preprint},
 eprint = {2107.06028},
 eprinttype = {arXiv},
 primaryclass = {math.OC},
 keywords = {Markov random fields, moment relaxation, sum of squares, polynomial optimization, generalized conjugacy, optimal transport
},
}
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