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math.OC2024
Practical Acceleration of the Condat-Vũ Algorithm
Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb +1
The Condat-Vũ algorithm is a widely used primal-dual method for optimizing composite objectives of three functions. Several algorithms for optimizing composite objectives of two fu…
math.OC2024★ 1 cited
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee +1
Variational regularisation is the primary method for solving inverse problems, and recently there has been considerable work leveraging deeply learned regularisation for enhanced p…