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–Neural Information Processing Systems
And maybe use cartesian product notation instead of pi product for X. -l106: slightly tune down radically different -l118: +more structured -l201: phi is not defined here when introducing Nesterov's setting -ref [17]: venue missing Q2: Please summarize your review in 1-2 sentences The paper proposes a primal dual optimization scheme for decomposable problems with linear coupling constraints, which can recover augmented Lagrangian, ADMM and fast dual descent methods. The paper is novel and highly non-trivial, but incremental in the sense that it provides convergence rates for the iterates themselves, avoiding the need to average as in existing methods. The presented theory only applies with known accuracy for the subproblem solutions in each iteration, however the experiments (e.g.
Neural Information Processing Systems
Oct-2-2025, 22:58:07 GMT