Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming | Paper Citation Record

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This paper cites Al-Mohy and Nicholas J.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Al-Mohy and Nicholas J

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This paper cites Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent

Reference 2

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This paper cites Near-linear time approximation al- gorithms for optimal transport via sinkhorn iteration.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Near-linear time approximation al- gorithms for optimal transport via sinkhorn iteration

Reference 3

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This paper cites The multiplicative weights update method: a meta-algorithm and applications.Theory of computing, 8(1):121–164, 2012.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming The multiplicative weights update method: a meta-algorithm and applications.Theory of computing, 8(1):121–164, 2012

Reference 4

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This paper cites SIAM, 2017.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming SIAM, 2017

Reference 5

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This paper cites Mirror descent and nonlinear projected subgradient methods for convex optimization.Operations Research Letters, 31(3):167–175, 2003.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Mirror descent and nonlinear projected subgradient methods for convex optimization.Operations Research Letters, 31(3):167–175, 2003

Reference 6

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This paper cites Boumal, B.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Boumal, B

Reference 7

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This paper cites Boyd and L.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Boyd and L

Reference 8

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This paper cites SIAM Studies in Applied Mathematics.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming SIAM Studies in Applied Mathematics

Reference 9

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Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Unresolved cited work

Reference 10

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This paper cites Remainder terms for some quantum entropy inequalities.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Remainder terms for some quantum entropy inequalities

Reference 11

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This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.Advances in neural information processing systems, 26, 2013.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Sinkhorn distances: Lightspeed computation of optimal transport.Advances in neural information processing systems, 26, 2013

Reference 12

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This paper cites Distinguishing separable and entangled states.Physical Review Letters, 88(18):187904, 2002.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Distinguishing separable and entangled states.Physical Review Letters, 88(18):187904, 2002

Reference 13

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This paper cites Driscoll, Nicholas Hale, and Lloyd N.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Driscoll, Nicholas Hale, and Lloyd N

Reference 14

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This paper cites Computational optimal trans- port: Complexity by accelerated gradient descent is better than by sinkhorn algorithm.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Computational optimal trans- port: Complexity by accelerated gradient descent is better than by sinkhorn algorithm

Reference 15

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Observation 617cb15a-46d4-4730-9626-b7d35b9579a1 · outbound

This paper cites Handbook of Convergence Theorems for (Stochastic) Gradient Methods.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Handbook of Convergence Theorems for (Stochastic) Gradient Methods

Reference 16

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This paper cites De Gruyter, 2nd edition, 2011.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming De Gruyter, 2nd edition, 2011

Reference 17

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Observation fb64a183-71c3-48f4-8e4b-a66157b2aad4 · outbound

This paper cites Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming.Journal of the ACM (JACM), 42(6):1115–1145, 1995.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming.Journal of the ACM (JACM), 42(6):1115–1145, 1995

Reference 18

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This paper cites Golub and Charles F.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Golub and Charles F

Reference 19

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Observation a7ddd25e-0504-48c4-8125-dfb6e055032a · outbound

This paper cites A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines.Communications in Statistics-Simulation and Computation, 18(3):1059– 1076, 1989.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines.Communications in Statistics-Simulation and Computation, 18(3):1059– 1076, 1989

Reference 20

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This paper cites Onthedualityofstrongconvexityand strong smoothness: Learning applications and matrix regularization.Unpublished Manuscript, http://ttic.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Onthedualityofstrongconvexityand strong smoothness: Learning applications and matrix regularization.Unpublished Manuscript, http://ttic

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Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Unresolved cited work

Reference 22

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This paper cites Entropy Penalized Semidefinite Programming.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Entropy Penalized Semidefinite Programming

Reference 23

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This paper cites Learning the kernel matrix with semidefinite programming.Journal of Machine Learning Research, 5:27–72, 2004.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Learning the kernel matrix with semidefinite programming.Journal of Machine Learning Research, 5:27–72, 2004

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This paper cites Fastcomputation of optimal transport via entropy-regularized extragradient methods, 2024.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Fastcomputation of optimal transport via entropy-regularized extragradient methods, 2024

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This paper cites Variational embedding for quantum many-body problems.Com- munications on Pure and Applied Mathematics, 75(9):2033–2068, 2022.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Variational embedding for quantum many-body problems.Com- munications on Pure and Applied Mathematics, 75(9):2033–2068, 2022

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This paper cites On the efficiency of entropic regularized algorithms for optimal transport.Journal of Machine Learning Research, 23(137):1–42, 2022.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming On the efficiency of entropic regularized algorithms for optimal transport.Journal of Machine Learning Research, 23(137):1–42, 2022

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This paper cites Fast randomized entropically regularized semidefinite programming.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Fast randomized entropically regularized semidefinite programming

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This paper cites Fast entropy-regularized SDP relaxations for permutation synchronization.In preparation, 2025.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Fast entropy-regularized SDP relaxations for permutation synchronization.In preparation, 2025

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Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Unresolved cited work

Reference 30

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This paper cites Hutch++: Optimal stochastic trace estimation.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Hutch++: Optimal stochastic trace estimation

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Observation ca625230-dbaa-4173-97fc-1def1ed040f5 · outbound

This paper cites Problem complexity and method efficiency in optimization.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Problem complexity and method efficiency in optimization

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This paper cites Nielsen and I.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Nielsen and I

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This paper cites Solving the multi-way matching problem by permutation synchronization.Advances in neural information processing systems, 26, 2013.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Solving the multi-way matching problem by permutation synchronization.Advances in neural information processing systems, 26, 2013

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This paper cites PhD thesis, California Institute of Technology, 2000.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming PhD thesis, California Institute of Technology, 2000

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This paper cites Logarithmically sparse symmetric matrices.Beiträge zur Algebra und Geome- trie/Contributions to Algebra and Geometry, pages 1–16, 2024.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Logarithmically sparse symmetric matrices.Beiträge zur Algebra und Geome- trie/Contributions to Algebra and Geometry, pages 1–16, 2024

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This paper cites Gibbs manifolds.Information Geometry, 7(Suppl 2):691–717, 2024.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Gibbs manifolds.Information Geometry, 7(Suppl 2):691–717, 2024

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Observation 76db2d27-6277-4cb5-b890-4b714d7ff8c4 · outbound

This paper cites Computational optimal transport: With applications to data science.Foundations and Trends®in Machine Learning, 11(5-6):355–607, 2019.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Computational optimal transport: With applications to data science.Foundations and Trends®in Machine Learning, 11(5-6):355–607, 2019

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This paper cites Entropic estimation of optimal transport maps, 2024.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Entropic estimation of optimal transport maps, 2024

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This paper cites Coordinate methods for acceleratingℓ∞ regression and faster approximate maximum flow.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Coordinate methods for acceleratingℓ∞ regression and faster approximate maximum flow

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Observation f3dde6f2-4066-4dfd-b192-85c5622fc71e · outbound

This paper cites SIAM, 2019.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming SIAM, 2019

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Observation 99e32a4d-4add-4e6d-82fb-792822202c28 · outbound

This paper cites Mathematische grundlagen der quantenmechanik.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Mathematische grundlagen der quantenmechanik

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Observation cc22d808-87a9-429d-99b4-06fd55e5b0af · outbound

This paper cites An explicit analysis of the entropic penalty in linear programming.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming An explicit analysis of the entropic penalty in linear programming

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:09.436595Z

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Observation 970c9084-32a6-4d6a-9680-d88771f7253d · outbound

This paper cites Distance metric learning for large margin nearest neighbor classification.Journal of Machine Learning Research, 10:207–244, 2009.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Distance metric learning for large margin nearest neighbor classification.Journal of Machine Learning Research, 10:207–244, 2009

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Observation 0ce98cbb-6cb9-44b9-8f1b-eb82cf3e4cd5 · outbound

This paper cites Tropp, Olivier Fercoq, Madeleine Udell, and Volkan Cevher.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Tropp, Olivier Fercoq, Madeleine Udell, and Volkan Cevher

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Observation bbdb0c90-d7bc-4023-9305-7e85edb57fe8 · outbound

This paper cites an unresolved cited work.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Unresolved cited work

Reference 46

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Observation 9b2d54e1-f7e6-45fd-b6d9-df839adf93b1 · outbound

This paper cites Step 1.Consider the marginalµ t =π β,λt 1n appearing in (4.8) via the differenceµt −µ(which is the dual gradient with respect toϕ).

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Step 1.Consider the marginalµ t =π β,λt 1n appearing in (4.8) via the differenceµt −µ(which is the dual gradient with respect toϕ)

Reference 47

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