On Geodesically Convex Formulations for the Brascamp-Lieb Constant
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Abstract (arXiv)
We consider two non-convex formulations for computing the optimal constant in the Brascamp-Lieb inequality corresponding to a given datum, and show that they are geodesically log-concave on the manifold of positive definite matrices endowed with the Riemannian metric corresponding to the Hessian of the log-determinant function. The first formulation is present in the work of Lieb and the second is inspired by the work of Bennett et al. Recent works of Garg et al.and Allen-Zhu et al. also imply a geodesically log-concave formulation of the Brascamp-Lieb constant through a reduction to the operator scaling problem. However, the dimension of the arising optimization problem in their reduction depends exponentially on the number of bits needed to describe the Brascamp-Lieb datum. The formulations presented here have dimensions that are polynomial in the bit complexity of the input datum.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Apr 2018.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 2; 2024: 1.
5 papers.
- 2023Minimizing Dynamic Regret on Geodesic Metric Spacescited by 6
- 2021Optimization and Sampling Under Continuous Symmetry: Examples and Lie Theorycited by 5
- 2022On a class of geodesically convex optimization problems solved via Euclidean MM methodscited by 1
- 2023Extragradient Type Methods for Riemannian Variational Inequality Problemscited by 1
- 2024Disciplined Geodesically Convex Programmingcited by 1
- 2024Disciplined Geodesically Convex Programming7 Jul 2024
- 2023Extragradient Type Methods for Riemannian Variational Inequality Problems25 Sep 2023
- 2023Minimizing Dynamic Regret on Geodesic Metric Spaces17 Feb 2023
- 2022On a class of geodesically convex optimization problems solved via Euclidean MM methods22 Jun 2022
- 2021Optimization and Sampling Under Continuous Symmetry: Examples and Lie Theory2 Sep 2021