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Neural Generative Models for Global Optimization with Gradients., , , and . CoRR, (2018)Fast distributed coordinate descent for non-strongly convex losses., , , and . MLSP, page 1-6. IEEE, (2014)Safe Grid Search with Optimal Complexity., , , , and . CoRR, (2018)Random extrapolation for primal-dual coordinate descent., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 191-201. PMLR, (2020)Benchmarking GNN-CMA-ES on the BBOB noiseless testbed., , and . GECCO (Companion), page 1928-1936. ACM, (2019)Solving stochastic weak Minty variational inequalities without increasing batch size., , , , and . ICLR, OpenReview.net, (2023)Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems., , , , and . CoRR, (2023)Using big steps in coordinate descent primal-dual algorithms., and . CDC, page 1895-1899. IEEE, (2016)Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems., , , , and . ICLR, OpenReview.net, (2022)SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization., , , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1823-1832. JMLR.org, (2016)