Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality | Paper Citation Record

Observation aa1cc2cd-5088-48a4-85a0-39b172bb87ad · outbound

This paper cites Global maximization of a convex function with linear inequality constraints,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Global maximization of a convex function with linear inequality constraints,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.729743Z

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Observation 484a8079-f110-4a1c-8c4a-5aaa75eb7399 · outbound

This paper cites Machine learning via polyhedral concave minimization,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Machine learning via polyhedral concave minimization,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.716925Z

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Observation a200bbf1-8e76-4c6f-9099-5a37242a5995 · outbound

This paper cites A direct formu- lation for sparse pca using semidefinite programming,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality A direct formu- lation for sparse pca using semidefinite programming,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.705575Z

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Observation 72ed4117-a38e-4883-8fb9-3eec06876fb0 · outbound

This paper cites Nonnegative sparse pca,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Nonnegative sparse pca,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.693748Z

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Observation f0f2f9f5-bf03-4acc-b292-5060b324d07d · outbound

This paper cites Enhancing sparsity by reweightedℓ1 minimization,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Enhancing sparsity by reweightedℓ1 minimization,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.681535Z

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Observation f09aa621-9fcd-45fa-93c7-764ef8777e82 · outbound

This paper cites Reweighted nuclear norm minimization with application to system identification,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Reweighted nuclear norm minimization with application to system identification,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.670330Z

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Observation dfa5f4fe-d574-4ce3-a2e0-43053d3d1c2f · outbound

This paper cites Pca sparsified,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Pca sparsified,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.657757Z

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Observation cd1f5bf8-d8bb-4e77-b53f-fd1123d74625 · outbound

This paper cites Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite program- ming,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite program- ming,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.643299Z

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Observation 9d0c3f65-241a-4639-a979-dc6ce977f6e6 · outbound

This paper cites Concave minimization: theory, applications and algorithms,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Concave minimization: theory, applications and algorithms,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.631265Z

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Observation 602b464a-bd04-4dcf-aaba-56e9c775bf1c · outbound

This paper cites Convex maximiza- tion via adjustable robust optimization,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Convex maximiza- tion via adjustable robust optimization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.619019Z

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Observation 8333be39-a270-4d30-88de-7e322dc82639 · outbound

This paper cites An algorithm for maximizing a convex function based on its minimum,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality An algorithm for maximizing a convex function based on its minimum,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.605574Z

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Observation 3248bbee-7e13-4d1a-b60d-7d8d63f4de65 · outbound

This paper cites Variations and extension of the convex–concave procedure,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Variations and extension of the convex–concave procedure,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.591863Z

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Observation dbd0473a-8ffb-4008-9f9e-735e3d16a577 · outbound

This paper cites Cccp is frank-wolfe in disguise,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Cccp is frank-wolfe in disguise,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.578476Z

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Observation 0ed5bb91-cef6-4bbd-8b54-979fa0d16b27 · outbound

This paper cites Checking local optimality in constrained quadratic programming is np-hard,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Checking local optimality in constrained quadratic programming is np-hard,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.562616Z

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Observation 34ec0db7-f449-47f2-9cb4-c0190bd58f47 · outbound

This paper cites Methods for global concave minimization: A bibliographic survey,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Methods for global concave minimization: A bibliographic survey,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.542353Z

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Observation 7ebbdbb1-c4dc-409b-b7e8-569443a7f068 · outbound

This paper cites Audet, P.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Audet, P

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.523622Z

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Observation 651f5267-defb-42b1-848b-8009f84b7bc2 · outbound

This paper cites One algorithm for branch and bound method for solving concave optimization problem,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality One algorithm for branch and bound method for solving concave optimization problem,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.509974Z

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Observation 29e7dd82-7120-4167-bc2c-c73ce3bd542a · outbound

This paper cites Conditional gradient algorithmsfor rank-one matrix approximations with a sparsity constraint,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Conditional gradient algorithmsfor rank-one matrix approximations with a sparsity constraint,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.496763Z

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Observation 83f1ebfa-f59c-4095-b778-87e2a3a19a61 · outbound

This paper cites Nonlinear programming,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Nonlinear programming,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.480169Z

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Observation 70212646-437b-4db1-b44f-046fddfe5310 · outbound

This paper cites An algorithm for quadratic programming,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality An algorithm for quadratic programming,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.459846Z

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Observation 65b0bca6-5d58-4245-9a8c-cfe6905b323c · outbound

This paper cites Constrained minimization methods,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Constrained minimization methods,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.443052Z

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Observation b8bfccce-c237-42f2-8cde-f2a0d326c902 · outbound

This paper cites Convergence rates for conditional gradient sequences generated by implicit step length rules,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Convergence rates for conditional gradient sequences generated by implicit step length rules,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.426106Z

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Observation 7906df74-6a02-47dc-b59d-602a43d41fd6 · outbound

This paper cites Projection-free Online Learning.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Projection-free Online Learning

Reference 23

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Observation 7a6460ec-f3f4-4107-9715-d74ab6a5a838 · outbound

This paper cites Revisiting frank-wolfe: Projection-free sparse convex optimiza- tion,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Revisiting frank-wolfe: Projection-free sparse convex optimiza- tion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.412930Z

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Observation 40f7acfc-f96b-4e00-9be3-48dafb62a2b9 · outbound

This paper cites A conditional gradient framework for composite convex minimization with applications to semidefinite programming,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality A conditional gradient framework for composite convex minimization with applications to semidefinite programming,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.397115Z

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Observation c99e8048-acde-48a9-9677-364151af0fc4 · outbound

This paper cites A conditional-gradient-based augmented lagrangian framework,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality A conditional-gradient-based augmented lagrangian framework,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.383785Z

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Observation 9a76c935-a7a0-402f-a846-0977c6cd2160 · outbound

This paper cites Kerdreux,Accelerating conditional gradient methods.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Kerdreux,Accelerating conditional gradient methods

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.370636Z

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Observation d320d863-fa2a-4308-b017-f2c104b6f74a · outbound

This paper cites Generalized power method for sparse principal component analysis,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Generalized power method for sparse principal component analysis,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.353339Z

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Observation 96988917-2a26-4399-837f-1e5d1e231fff · outbound

This paper cites Competitive equilibrium for chores: from dual eisenberg-gale to a fast, greedy, lp-based algorithm,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Competitive equilibrium for chores: from dual eisenberg-gale to a fast, greedy, lp-based algorithm,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.338743Z

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Observation cc0fa17b-bba3-4694-b6c9-bd3a56263312 · outbound

This paper cites First order methods beyond convexity and lipschitz gradient continuity with applications to quadratic inverse problems,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality First order methods beyond convexity and lipschitz gradient continuity with applications to quadratic inverse problems,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.323709Z

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Observation cbec3704-f565-4046-9e03-beed92176fa9 · outbound

This paper cites Novel proximal gradient methods for non- negative matrix factorization with sparsity constraints,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Novel proximal gradient methods for non- negative matrix factorization with sparsity constraints,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.309794Z

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Observation ca703cd5-f4c8-4e56-b6fa-fb47b03f3ee3 · outbound

This paper cites Proximal alternating minimization and projection methods for nonconvex problems: An approach based on the kurdyka-łojasiewicz inequality,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Proximal alternating minimization and projection methods for nonconvex problems: An approach based on the kurdyka-łojasiewicz inequality,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.297186Z

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Observation 067ccd5c-d975-4dac-a052-45508e669a2e · outbound

This paper cites Proximal alternating linearized minimization for nonconvex and nonsmooth problems,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Proximal alternating linearized minimization for nonconvex and nonsmooth problems,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.281511Z

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Observation 0ce6b7a2-1157-4d8e-8286-8d9c688fea03 · outbound

This paper cites Convergence Rate of Frank-Wolfe for Non-Convex Objectives.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Convergence Rate of Frank-Wolfe for Non-Convex Objectives

Reference 34

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This paper cites Sketchy decisions: Convex low-rank matrix optimization with optimal storage,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Sketchy decisions: Convex low-rank matrix optimization with optimal storage,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.267199Z

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This paper cites an unresolved cited work.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Unresolved cited work

Reference 36

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This paper cites Conic optimization-based algorithms for nonnegative matrix factorization,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Conic optimization-based algorithms for nonnegative matrix factorization,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.238422Z

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Observation 19279490-ab6d-4807-92d6-673e9f00ca1f · outbound

This paper cites Low-rank optimization on the cone of positive semidefinite matrices,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Low-rank optimization on the cone of positive semidefinite matrices,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.223795Z

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Observation f534f7d6-3e5f-4c86-a22a-137c87212c09 · outbound

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Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Unresolved cited work

Reference 39

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Observation dd41efc5-7acc-4088-a11b-fe4e4b2a42f5 · outbound

This paper cites On the convergence of the proximal algorithm for nonsmooth functions involving analytic features,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality On the convergence of the proximal algorithm for nonsmooth functions involving analytic features,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.197626Z

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Observation 063210f4-27f9-4fcb-b682-a6e6542e3dae · outbound

This paper cites A descent lemma beyond lipschitz gradient continuity: first-order methods revisited and applications,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality A descent lemma beyond lipschitz gradient continuity: first-order methods revisited and applications,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.183283Z

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Observation 28384d9c-d508-445b-ab73-9446ccdde6e9 · outbound

This paper cites The łojasiewicz inequality for nons- mooth subanalytic functions with applications to subgradient dynamical systems,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality The łojasiewicz inequality for nons- mooth subanalytic functions with applications to subgradient dynamical systems,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.166127Z

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Observation 78507d2e-45ad-4592-9af5-886e25f44ee7 · outbound

This paper cites Clarke subgradients of stratifiable functions,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Clarke subgradients of stratifiable functions,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.150913Z

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Observation adb68ce1-c351-463b-9b36-f8c1fff1cb5a · outbound

This paper cites Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized gauss–seidel methods,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized gauss–seidel methods,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.135778Z

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Observation 7d0e029d-df85-40bc-9652-cb93ea0d3a1a · outbound

This paper cites Compressed sensing,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Compressed sensing,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.120703Z

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Observation 792f3e1d-7252-43f4-8125-aff1b877844d · outbound

This paper cites From sparse solutions of systems of equations to sparse modeling of signals and images,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality From sparse solutions of systems of equations to sparse modeling of signals and images,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.106380Z

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Observation 9c2ab548-fe18-45c2-92f8-92311ddcb6ab · outbound

This paper cites ApS,MOSEK Optimizer API for Python 11.0.12, 2025.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality ApS,MOSEK Optimizer API for Python 11.0.12, 2025

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.091900Z

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Observation c4c3a755-7933-49d8-9a7d-2f4a3fa70501 · outbound

This paper cites CVXPY: A Python-embedded modeling language for convex optimization,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality CVXPY: A Python-embedded modeling language for convex optimization,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T05:06:58.650640Z

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Observation a7de9c5e-db20-4efe-a408-03022fcb1d60 · outbound

This paper cites Clarabel: An interior-point solver for conic programs with quadratic objectives,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Clarabel: An interior-point solver for conic programs with quadratic objectives,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.066939Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d1d38f34-c4de-4c77-a663-f65c499a8b15 · outbound

This paper cites Interior point methods in semidefinite programming with applications to combinatorial optimization,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Interior point methods in semidefinite programming with applications to combinatorial optimization,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.052828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3841e77c-b8a6-4494-80d5-d40c680e3315 · outbound

This paper cites Cones of matrices and set-functions and 0–1 optimization,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Cones of matrices and set-functions and 0–1 optimization,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.038742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e9e37c9-0a07-4f2e-b237-38b9b1cef7b6 · outbound

This paper cites Inference in graphical models via semidefinite programming hierarchies,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Inference in graphical models via semidefinite programming hierarchies,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.026433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f2dc6bf6-7034-426a-85c3-4171c6519ef1 · outbound

This paper cites Onthelow-rankapproachfor semidefinite programs arising in synchronization and community detection,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Onthelow-rankapproachfor semidefinite programs arising in synchronization and community detection,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:59.010368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cb875a18-4fdf-414f-9033-91fe4a5d8471 · outbound

This paper cites Solving sdps for synchronization and maxcut problems via the grothendieck inequality,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Solving sdps for synchronization and maxcut problems via the grothendieck inequality,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:58.995328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0bd703cc-272a-4698-9828-f1c470aef2e4 · outbound

This paper cites A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:58.977609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c682e09-bad4-4ac9-ac90-a57edb7be575 · outbound

This paper cites Phase transitions in semidefinite relaxations,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Phase transitions in semidefinite relaxations,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:58.962222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ae503df0-58df-4cea-ba82-4fbabeaf4da7 · outbound

This paper cites The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T05:06:58.688403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c539c3d8-a196-4a3f-957f-745e3e4a1f07 · outbound

This paper cites Convergence rate of block-coordinate maximization burer–monteiro method for solving large sdps,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Convergence rate of block-coordinate maximization burer–monteiro method for solving large sdps,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:58.944662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cad7a77a-d625-4dfd-a624-04e39493a94e · outbound

This paper cites Trust-region methods on riemannian manifolds,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Trust-region methods on riemannian manifolds,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:58.930486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 677d10d9-841e-40c5-b117-41b25a0d39ba · outbound

This paper cites Thenon-convexburer-monteiro approach works on smooth semidefinite programs,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Thenon-convexburer-monteiro approach works on smooth semidefinite programs,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:58.916193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a77853b8-2754-4012-acb0-01fc8225a2d2 · outbound

This paper cites an unresolved cited work.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T05:06:58.705486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44c211fc-d9ea-431f-b42b-f41acb4c359c · outbound

This paper cites Local minima and convergence in low-rank semidefinite programming,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Local minima and convergence in low-rank semidefinite programming,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:58.893522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c7221d4e-b775-4419-a99a-7e58e2bd1367 · outbound

This paper cites Manopt, a matlab toolbox for optimization on manifolds,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Manopt, a matlab toolbox for optimization on manifolds,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:58.880364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 463471a3-10d9-4764-b6f0-208988f7e2cf · outbound

This paper cites Cupy: A numpy- compatible library for nvidia gpu calculations,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Cupy: A numpy- compatible library for nvidia gpu calculations,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:58.861625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 05ff07ff-9bbf-4e40-8e2b-00bcd5918c6e · outbound

This paper cites JAX: composable transformations of Python+NumPy programs,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality JAX: composable transformations of Python+NumPy programs,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T05:06:58.719843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f86d798-e87e-4ac5-9872-667607441939 · outbound

This paper cites Pymanopt: A python toolbox for optimization on manifolds using automatic differentiation,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality Pymanopt: A python toolbox for optimization on manifolds using automatic differentiation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:58.823562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ccb5f96-0ba3-4ff4-b495-3031925abadd · outbound

This paper cites First and second-order necessary and sufficient optimalityconditionsforinfinite-dimensionalprogrammingproblems,.

Strongly Convex Maximization via the Frank-Wolfe Algorithm with the Kurdyka-{\L}ojasiewicz Inequality First and second-order necessary and sufficient optimalityconditionsforinfinite-dimensionalprogrammingproblems,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:06:58.810038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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