Results: 15
Near-optimal discrete optimization for experimental design: a regret minimization approach.
- Published in:
- Mathematical Programming, 2021, v. 186, n. 1/2, p. 439, doi. 10.1007/s10107-019-01464-2
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- Article
An O(n2logn) algorithm for the weighted stable set problem in claw-free graphs.
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- Mathematical Programming, 2021, v. 186, n. 1/2, p. 409, doi. 10.1007/s10107-019-01461-5
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- Article
Stronger MIP formulations for the Steiner forest problem.
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- Mathematical Programming, 2021, v. 186, n. 1/2, p. 373, doi. 10.1007/s10107-019-01460-6
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- Article
The salesman's improved tours for fundamental classes.
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- Mathematical Programming, 2021, v. 186, n. 1/2, p. 289, doi. 10.1007/s10107-019-01455-3
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- Article
Orbitopal fixing for the full (sub-)orbitope and application to the Unit Commitment Problem.
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- Mathematical Programming, 2021, v. 186, n. 1/2, p. 337, doi. 10.1007/s10107-019-01457-1
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- Article
On sparsity of the solution to a random quadratic optimization problem.
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- Mathematical Programming, 2021, v. 186, n. 1/2, p. 309, doi. 10.1007/s10107-019-01456-2
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- Article
Exploiting partial correlations in distributionally robust optimization.
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- Mathematical Programming, 2021, v. 186, n. 1/2, p. 209, doi. 10.1007/s10107-019-01453-5
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- Article
Nonnegative rank depends on the field.
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- Mathematical Programming, 2021, v. 186, n. 1/2, p. 479, doi. 10.1007/s10107-019-01448-2
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- Article
On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods.
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- Mathematical Programming, 2021, v. 186, n. 1/2, p. 257, doi. 10.1007/s10107-019-01454-4
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- Article
Improved complexities of conditional gradient-type methods with applications to robust matrix recovery problems.
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- Mathematical Programming, 2021, v. 186, n. 1/2, p. 185, doi. 10.1007/s10107-019-01452-6
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- Article
Implementable tensor methods in unconstrained convex optimization.
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- Mathematical Programming, 2021, v. 186, n. 1/2, p. 157, doi. 10.1007/s10107-019-01449-1
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- Article
Hypergraph k-cut in randomized polynomial time.
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- Mathematical Programming, 2021, v. 186, n. 1/2, p. 85, doi. 10.1007/s10107-019-01443-7
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- Article
On distributionally robust chance constrained programs with Wasserstein distance.
- Published in:
- Mathematical Programming, 2021, v. 186, n. 1/2, p. 115, doi. 10.1007/s10107-019-01445-5
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- Article
Why random reshuffling beats stochastic gradient descent.
- Published in:
- Mathematical Programming, 2021, v. 186, n. 1/2, p. 49, doi. 10.1007/s10107-019-01440-w
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- Article
Amenable cones: error bounds without constraint qualifications.
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- Mathematical Programming, 2021, v. 186, n. 1/2, p. 1, doi. 10.1007/s10107-019-01439-3
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- Article