Stochastic Penalty-Barrier Methods for Constrained Machine Learning | Paper Citation Record

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This paper cites Position: Adopt Constraints Over Penalties in Deep Learning, July 2025.Cited on page 1.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Position: Adopt Constraints Over Penalties in Deep Learning, July 2025.Cited on page 1

Reference 1

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This paper cites Kernel dependence reg- ularizers and Gaussian processes with applications to algorithmic fairness.Pattern Recognition, 132:108922, December 2022.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Kernel dependence reg- ularizers and Gaussian processes with applications to algorithmic fairness.Pattern Recognition, 132:108922, December 2022

Reference 2

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This paper cites fairret: a framework for differentiable fairness regularization terms.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning fairret: a framework for differentiable fairness regularization terms

Reference 3

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Observation c6bc0b8c-2158-418d-8743-fb75520225c5 · outbound

This paper cites Benchmarking stochastic approximation algorithms for fairness-constrained training of deep neural networks.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Benchmarking stochastic approximation algorithms for fairness-constrained training of deep neural networks

Reference 4

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Observation 2008d7e1-5820-49f1-9dfc-a893ff14fca0 · outbound

This paper cites Physics-informed neural networks with hard constraints for inverse design.SIAM Journal on Scientific Computing, 43(6):B1105–B1132, 2021.Cited on page 1.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Physics-informed neural networks with hard constraints for inverse design.SIAM Journal on Scientific Computing, 43(6):B1105–B1132, 2021.Cited on page 1

Reference 5

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This paper cites Characterizing possible failure modes in physics-informed neural networks.Advances in neural information processing systems, 34:26548–26560, 2021.Cited on page 1.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Characterizing possible failure modes in physics-informed neural networks.Advances in neural information processing systems, 34:26548–26560, 2021.Cited on page 1

Reference 6

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Observation dcdc02d0-2e88-4c83-838b-33df36c54b99 · outbound

This paper cites Respecting causality for training physics- informed neural networks.Computer Methods in Applied Mechanics and Engineering, 421: 116813, 2024.Cited on page 1.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Respecting causality for training physics- informed neural networks.Computer Methods in Applied Mechanics and Engineering, 421: 116813, 2024.Cited on page 1

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.576121Z

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Observation d4e77801-1d58-4396-8601-f84aa6abc468 · outbound

This paper cites Enhanced physics-informed neural networks with augmented lagrangian relaxation method (al-pinns).Neurocomputing, 548: 126424, 2023.Cited on pages 1, 6, 7, and 15.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Enhanced physics-informed neural networks with augmented lagrangian relaxation method (al-pinns).Neurocomputing, 548: 126424, 2023.Cited on pages 1, 6, 7, and 15

Reference 8

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Stochastic Penalty-Barrier Methods for Constrained Machine Learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-20T12:23:27.630645Z

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Observation 13a09cbb-b6fd-4221-a1d7-1aaed2423c87 · outbound

This paper cites A single-loop stochastic feasible interior-point algorithm for nonlinear inequality-constrained optimization: F.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning A single-loop stochastic feasible interior-point algorithm for nonlinear inequality-constrained optimization: F

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.666683Z

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Observation 3ee13b33-7739-4cec-9016-658995a6515c · outbound

This paper cites A trust-region interior- point stochastic sequential quadratic programming method.arXiv preprint arXiv:2603.10230, 2026.Cited on pages 1 and 3.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning A trust-region interior- point stochastic sequential quadratic programming method.arXiv preprint arXiv:2603.10230, 2026.Cited on pages 1 and 3

Reference 11

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Reference 12

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Reference 13

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Observation 1b404cbe-9ea9-4710-a504-73e9357f7066 · outbound

This paper cites Stochastic subgradient for composite convex optimization with functional constraints.Journal of Machine Learning Research, 23(265):1–35, 2022.Cited on pages 1 and 2.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Stochastic subgradient for composite convex optimization with functional constraints.Journal of Machine Learning Research, 23(265):1–35, 2022.Cited on pages 1 and 2

Reference 14

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Observation c380260a-24e8-425c-94ef-91c0b7dee54a · outbound

This paper cites Mini-batch stochastic subgra- dient for functional constrained optimization.Optimization, 73(7):2159–2185, 2024.Cited on pages 1 and 2.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Mini-batch stochastic subgra- dient for functional constrained optimization.Optimization, 73(7):2159–2185, 2024.Cited on pages 1 and 2

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.655888Z

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Observation e270c253-99dd-4f05-ba88-395e12c08ec7 · outbound

This paper cites Stochastic halfspace approximation method for convex optimization with nonsmooth functional constraints.IEEE Transactions on Automatic Control, 2024.Cited on pages 1 and 2.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Stochastic halfspace approximation method for convex optimization with nonsmooth functional constraints.IEEE Transactions on Automatic Control, 2024.Cited on pages 1 and 2

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.640217Z

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Observation 84b0d7a2-046c-45aa-8c85-c967af9a6415 · outbound

This paper cites Stochastic first-order methods for convex and nonconvex functional constrained optimization.Mathematical Programming, 197(1):215–279, 2023.Cited on pages 1 and 2.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Stochastic first-order methods for convex and nonconvex functional constrained optimization.Mathematical Programming, 197(1):215–279, 2023.Cited on pages 1 and 2

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.616732Z

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Observation 54fc5afa-2827-460f-8789-4c0d6203ae58 · outbound

This paper cites Oracle complexity of single-loop switching subgradient methods for non-smooth weakly convex functional constrained optimization.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Oracle complexity of single-loop switching subgradient methods for non-smooth weakly convex functional constrained optimization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.621741Z

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Observation 7d97b840-bfa3-4d68-81c0-ed6ad3b9bf50 · outbound

This paper cites Stochastic smoothed primal-dual algorithms for nonconvex optimization with linear inequality constraints.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Stochastic smoothed primal-dual algorithms for nonconvex optimization with linear inequality constraints

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.660559Z

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Observation 173e4fc0-cc3a-4798-8d95-e911c2326469 · outbound

This paper cites Penalty/barrier multiplier methods for convex pro- gramming problems.SIAM Journal on Optimization, 7(2):347–366, 1997.Cited on pages 2, 3, and 4.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Penalty/barrier multiplier methods for convex pro- gramming problems.SIAM Journal on Optimization, 7(2):347–366, 1997.Cited on pages 2, 3, and 4

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.650058Z

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Observation 3eff7f36-359f-4cf9-b045-11daefc24aeb · outbound

This paper cites Proximal algorithms.Foundations and trends® in Optimiza- tion, 1(3):127–239, 2014.Cited on pages 2 and 4.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Proximal algorithms.Foundations and trends® in Optimiza- tion, 1(3):127–239, 2014.Cited on pages 2 and 4

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.652183Z

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Observation d252776a-686c-4b1c-b59c-f68406da0d3d · outbound

This paper cites Convex analysis.Princeton Mathematical Series, 28, 1970.Cited on page 2.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Convex analysis.Princeton Mathematical Series, 28, 1970.Cited on page 2

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.623854Z

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Observation 024a319a-fc37-4eb9-8aad-bf5cbf536ad3 · outbound

This paper cites Learning multiple layers of features from tiny images.(2009), 2009.Cited on pages 2 and 6.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Learning multiple layers of features from tiny images.(2009), 2009.Cited on pages 2 and 6

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This paper cites Retiring adult: New datasets for fair machine learning.Advances in Neural Information Processing Systems, 34, 2021.Cited on pages 2, 5, and 25.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Retiring adult: New datasets for fair machine learning.Advances in Neural Information Processing Systems, 34, 2021.Cited on pages 2, 5, and 25

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.635718Z

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Observation c0307d2e-cec3-4a45-b623-8a25f6f4f9bc · outbound

This paper cites 12 2001.Cited on pages 2, 5, and 25.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning 12 2001.Cited on pages 2, 5, and 25

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This paper cites A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians

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Resolution: verified exact; arxiv_id, observed 2026-05-20T12:23:16.937607Z

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Observation 377fbde5-41f7-41f0-9c4b-069f5e296d69 · outbound

This paper cites Curtis, Michael J.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Curtis, Michael J

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Observation 018dff2f-de2c-4bbd-b007-0ae9d6776fe5 · outbound

This paper cites Mahoney, and Mladen Kolar.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Mahoney, and Mladen Kolar

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Resolution: verified exact; doi, observed 2026-05-20T12:23:16.670582Z

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Observation e6420a0b-bbea-4b8f-ac9f-0661f427fa95 · outbound

This paper cites An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians.Mathematical Programming, 199(1):721–791, May 2023.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians.Mathematical Programming, 199(1):721–791, May 2023

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Observation 381ff346-8b57-431f-ad51-77ac9f5126a5 · outbound

This paper cites Stochastic Approximation for Expectation Objective and Expectation Inequality-Constrained Nonconvex Optimization.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Stochastic Approximation for Expectation Objective and Expectation Inequality-Constrained Nonconvex Optimization

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Observation ac89698f-cd81-48e2-98db-d4197e2f0b31 · outbound

This paper cites Quadratically regularized subgradient methods for weakly convex optimization with weakly convex constraints.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Quadratically regularized subgradient methods for weakly convex optimization with weakly convex constraints

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.655057Z

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Observation 8d528474-9ad9-428d-ab26-2f1d48f4b6b7 · outbound

This paper cites Curtis, Daniel P.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Curtis, Daniel P

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Observation 787ef59f-6de4-42b1-b4d5-085aa2830917 · outbound

This paper cites A momentum-based linearized augmented lagrangian method for nonconvex constrained stochastic optimization.Optimization Online.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning A momentum-based linearized augmented lagrangian method for nonconvex constrained stochastic optimization.Optimization Online

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Observation 3468ce5d-af82-435b-bce8-a3b2aa3b7104 · outbound

This paper cites Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming

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Observation a74eb340-f4fb-4a10-8935-8a89d4d70165 · outbound

This paper cites Constrained optimization in the presence of noise.SIAM Journal on Optimization, 33(3):2118–2136.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Constrained optimization in the presence of noise.SIAM Journal on Optimization, 33(3):2118–2136

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Observation f23fad94-d2af-40a3-b883-ecf3f157f398 · outbound

This paper cites An adaptive sampling augmented lagrangian method for stochastic optimization with deterministic constraints.Computers and Mathematics with Applications, 149:239–258.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning An adaptive sampling augmented lagrangian method for stochastic optimization with deterministic constraints.Computers and Mathematics with Applications, 149:239–258

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Observation 4dd6a276-1045-408d-a9d6-58f2bc74566e · outbound

This paper cites doi: https://doi.org/10.1016/j.camwa.2023.09.014.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning doi: https://doi.org/10.1016/j.camwa.2023.09.014

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Resolution: verified exact; doi, observed 2026-05-20T12:23:16.675137Z

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Observation a0f22a68-1269-4da3-a51a-8fb492398916 · outbound

This paper cites Cooper: A Library for Constrained Optimization in Deep Learning, April 2025.Cited on page 3.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Cooper: A Library for Constrained Optimization in Deep Learning, April 2025.Cited on page 3

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.592342Z

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Observation e91bc7ce-32fe-4c13-8ef5-54f82e219355 · outbound

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Stochastic Penalty-Barrier Methods for Constrained Machine Learning Unresolved cited work

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Resolution: verified exact; arxiv_id, observed 2026-05-20T12:23:16.934883Z

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Observation 5c03805e-7220-4a28-b471-85c5898c5233 · outbound

This paper cites A general method for solving extremal problems.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning A general method for solving extremal problems

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.636112Z

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Observation 46490ab5-fdf2-4b4d-ba1c-82f4c86342d3 · outbound

This paper cites Pennon: A code for convex nonlinear and semidefinite programming.Optimization methods and software, 18(3):317–333, 2003.Cited on page 3.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Pennon: A code for convex nonlinear and semidefinite programming.Optimization methods and software, 18(3):317–333, 2003.Cited on page 3

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.602414Z

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Observation 2dd2cc5f-8b85-4808-a1d2-21c743e0a647 · outbound

This paper cites Pennon: a generalized augmented lagrangian method for semidefinite programming.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Pennon: a generalized augmented lagrangian method for semidefinite programming

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.626580Z

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Observation 115f49db-e175-4631-b1d1-e584f3b84d6c · outbound

This paper cites Pennon: Software for linear and nonlinear matrix inequali- ties.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Pennon: Software for linear and nonlinear matrix inequali- ties

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.608010Z

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Observation 11ef6c0b-016f-4719-bdbc-bbc643a3b191 · outbound

This paper cites A penalty barrier framework for nonconvex con- strained optimization.Journal of Nonsmooth Analysis and Optimization, 5(Original research articles), 2025.Cited on page 3.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning A penalty barrier framework for nonconvex con- strained optimization.Journal of Nonsmooth Analysis and Optimization, 5(Original research articles), 2025.Cited on page 3

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.670676Z

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Observation 365b8a34-7519-4bf1-be89-dd2c72ccf88d · outbound

This paper cites Augmented lagrangians and applications of the proximal point algorithm in convex programming.Mathematics of operations research, 1(2):97–116, 1976.Cited on page 3.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Augmented lagrangians and applications of the proximal point algorithm in convex programming.Mathematics of operations research, 1(2):97–116, 1976.Cited on page 3

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.673026Z

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Observation 7a263552-f105-4240-9d33-71af9d3d15e6 · outbound

This paper cites Augmented lagrange multiplier functions and duality in nonconvex programming.SIAM Journal on Control, 12(2):268–285.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Augmented lagrange multiplier functions and duality in nonconvex programming.SIAM Journal on Control, 12(2):268–285

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.605902Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ec1c5db0-3ff1-48e8-8fb6-f1712bfbe5bd · outbound

This paper cites The multiplier method of hestenes and powell applied to convex pro- gramming.Journal of Optimization Theory and applications, 12(6):555–562.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning The multiplier method of hestenes and powell applied to convex pro- gramming.Journal of Optimization Theory and applications, 12(6):555–562

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.616514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9618898b-86de-4062-9e61-fbaae95584b8 · outbound

This paper cites A dual approach to solving nonlinear programming problems by uncon- strained optimization.Mathematical programming, 5(1):354–373.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning A dual approach to solving nonlinear programming problems by uncon- strained optimization.Mathematical programming, 5(1):354–373

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.662640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8135482d-1bcb-4b31-b34b-4aa8e324c91f · outbound

This paper cites A method for nonlinear constraints in minimization problems.Optimization, pages 283–298.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning A method for nonlinear constraints in minimization problems.Optimization, pages 283–298

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.600161Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2e0b831b-2235-49a3-8a9a-a2de5cbc4615 · outbound

This paper cites Multiplier and gradient methods.Journal of optimization theory and applications, 4(5):303–320.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Multiplier and gradient methods.Journal of optimization theory and applications, 4(5):303–320

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.667809Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c5a2ce5-85a2-4b55-89e2-1a4ebb2821e0 · outbound

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Stochastic Penalty-Barrier Methods for Constrained Machine Learning Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-05-20T12:23:27.642640Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0a4ede49-b149-45c0-9911-87ab46b5f554 · outbound

This paper cites an unresolved cited work.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-05-20T12:23:27.592850Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2b7cff55-4139-4df5-a589-baf7cd62dee9 · outbound

This paper cites Smoothed Proximal Lagrangian Method for Nonlinear Constrained Programs.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Smoothed Proximal Lagrangian Method for Nonlinear Constrained Programs

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Resolution: verified exact; arxiv_id, observed 2026-05-20T12:23:16.916166Z

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Observation 80f3340c-b25d-4119-a694-2310056d19e9 · outbound

This paper cites Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization.Computational optimization and applications, 82(1):175–224.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization.Computational optimization and applications, 82(1):175–224

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.648146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2faf0c47-28c3-44f8-97de-6338aa366d99 · outbound

This paper cites A proximal alternating direction method of multiplier for linearly constrained nonconvex minimization.SIAM Journal on Optimization, 30(3):2272–2302, 2020.Cited on page 4.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning A proximal alternating direction method of multiplier for linearly constrained nonconvex minimization.SIAM Journal on Optimization, 30(3):2272–2302, 2020.Cited on page 4

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.638114Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b0b8ec4d-a1cf-4df5-822b-a90fb6341853 · outbound

This paper cites On the Iteration Complexity of Smoothed Proximal ALM for Nonconvex Optimization Problem with Convex Constraints.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning On the Iteration Complexity of Smoothed Proximal ALM for Nonconvex Optimization Problem with Convex Constraints

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:23:16.940563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 69a7cf98-95be-4bb2-a105-3c0978d1cda6 · outbound

This paper cites SIAM, Philadelphia, PA.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning SIAM, Philadelphia, PA

Reference 57

Resolution: verified exact; doi, observed 2026-05-20T12:23:16.665455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 40142151-46fe-4266-bcb2-dbe260a0859c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Adam: A Method for Stochastic Optimization

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Resolution: verified exact; local_arxiv, observed 2026-05-20T12:23:16.919094Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e6f7ea4a-e0ca-44f3-9a7f-17862f64cd0e · outbound

This paper cites Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

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Resolution: verified exact; local_arxiv, observed 2026-05-20T12:23:16.931627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 49b1f427-f0c7-4ae2-9db0-9bd756551531 · outbound

This paper cites fairret: a Framework for Differentiable Fairness Regularization Terms.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning fairret: a Framework for Differentiable Fairness Regularization Terms

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Resolution: verified exact; arxiv_id, observed 2026-05-20T12:23:16.922222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4a68acdb-5e3a-46e2-b5b5-0cdc777c5a34 · outbound

This paper cites When and why pinns fail to train: A neural tangent kernel perspective.Journal of Computational Physics, 449:110768, 2022.Cited on pages 6 and 7.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning When and why pinns fail to train: A neural tangent kernel perspective.Journal of Computational Physics, 449:110768, 2022.Cited on pages 6 and 7

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.658267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c023fb95-e838-43c3-9d09-7d355fc05a93 · outbound

This paper cites Understanding and mitigating gradient flow pathologies in physics-informed neural networks.SIAM Journal on Scientific Computing, 43 (5):A3055–A3081, 2021.Cited on pages 6 and 7.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Understanding and mitigating gradient flow pathologies in physics-informed neural networks.SIAM Journal on Scientific Computing, 43 (5):A3055–A3081, 2021.Cited on pages 6 and 7

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.572447Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 69e22316-ce42-466d-800f-99620487eb44 · outbound

This paper cites McClenny and Ulisses M.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning McClenny and Ulisses M

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:23:16.673407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d6729ba-27cf-418c-b140-a2e0b0452942 · outbound

This paper cites Solving PDEs as constrained optimization.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Solving PDEs as constrained optimization

Reference 64

Resolution: malformed identifier; raw_fallback, observed 2026-05-20T12:23:27.632366Z

Source-reported events for the cited work

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Observation a0109030-3df8-47c7-89e5-2fab717bffa0 · outbound

This paper cites [4] is used under the Apache 2.0 License.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning [4] is used under the Apache 2.0 License

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.619096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07072a6b-15d9-4c04-9010-ac542692fe29 · outbound

This paper cites Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects.

Stochastic Penalty-Barrier Methods for Constrained Machine Learning Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:23:27.677150Z

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