Works matching IS 00255610 AND DT 2019 AND VI 176 AND IP 1/2
Results: 18
Preface.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 1, doi. 10.1007/s10107-019-01407-x
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A linearly convergent doubly stochastic Gauss–Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 465, doi. 10.1007/s10107-019-01404-0
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Run-and-Inspect Method for nonconvex optimization and global optimality bounds for R-local minimizers.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 39, doi. 10.1007/s10107-019-01397-w
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Robust multicategory support matrix machines.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 429, doi. 10.1007/s10107-019-01386-z
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Efficient, certifiably optimal clustering with applications to latent variable graphical models.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 137, doi. 10.1007/s10107-019-01375-2
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First-order methods almost always avoid strict saddle points.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 311, doi. 10.1007/s10107-019-01374-3
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Sparse Kalman filtering approaches to realized covariance estimation from high frequency financial data.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 247, doi. 10.1007/s10107-019-01371-6
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Computation of the maximum likelihood estimator in low-rank factor analysis.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 279, doi. 10.1007/s10107-019-01370-7
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Perturbed proximal primal–dual algorithm for nonconvex nonsmooth optimization.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 207, doi. 10.1007/s10107-019-01365-4
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Misspecified nonconvex statistical optimization for sparse phase retrieval.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 545, doi. 10.1007/s10107-019-01364-5
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Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 5, doi. 10.1007/s10107-019-01363-6
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Distributed nonconvex constrained optimization over time-varying digraphs.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 497, doi. 10.1007/s10107-018-01357-w
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Behavior of accelerated gradient methods near critical points of nonconvex functions.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 403, doi. 10.1007/s10107-018-1340-y
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Exploiting negative curvature in deterministic and stochastic optimization.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 69, doi. 10.1007/s10107-018-1335-8
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Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 175, doi. 10.1007/s10107-018-1331-z
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A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 339, doi. 10.1007/s10107-018-1327-8
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Enhanced proximal DC algorithms with extrapolation for a class of structured nonsmooth DC minimization.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 369, doi. 10.1007/s10107-018-1318-9
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Structural properties of affine sparsity constraints.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 95, doi. 10.1007/s10107-018-1283-3
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