Stochastic Adaptive Gradient Descent Without Descent | Paper Citation Record

Observation 28515651-884d-4a01-884c-bac83ee0ee7a · outbound

This paper cites Parameter-free FISTA by adaptive restart and backtracking.SIAM Journal on Optimization, 34(4):3259–3285, 2024.

Stochastic Adaptive Gradient Descent Without Descent Parameter-free FISTA by adaptive restart and backtracking.SIAM Journal on Optimization, 34(4):3259–3285, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.568467Z

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Observation e65ef1d3-1899-4412-b8d6-fe0c8e795fa1 · outbound

This paper cites FISTA restart using an automatic estimation of the growth parameter.Journal of Optimization Theory and Applications, 206(2):51, 2025.

Stochastic Adaptive Gradient Descent Without Descent FISTA restart using an automatic estimation of the growth parameter.Journal of Optimization Theory and Applications, 206(2):51, 2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.556523Z

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Observation 6d77bdeb-52f5-496f-a44e-62a4d89dde3d · outbound

This paper cites Complexity guarantees for Polyak steps with momentum.

Stochastic Adaptive Gradient Descent Without Descent Complexity guarantees for Polyak steps with momentum

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.546068Z

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Observation e0313f02-1807-4d43-b1ea-fc839a17b4c0 · outbound

This paper cites Two-point step size gradient methods.IMA journal of numerical analysis, 8(1):141–148, 1988.

Stochastic Adaptive Gradient Descent Without Descent Two-point step size gradient methods.IMA journal of numerical analysis, 8(1):141–148, 1988

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:07.381309Z

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Observation d72975c5-2f8b-45e9-b78e-80874bfd2fdb · outbound

This paper cites an unresolved cited work.

Stochastic Adaptive Gradient Descent Without Descent Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:59:08.528569Z

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Observation a58afa3b-3cfb-4139-adb5-3cb279c76106 · outbound

This paper cites Sample size selection in optimization methods for machine learning.Mathematical programming, 134(1):127–155, 2012.

Stochastic Adaptive Gradient Descent Without Descent Sample size selection in optimization methods for machine learning.Mathematical programming, 134(1):127–155, 2012

Reference 6

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Observation 1b59495b-ca11-45c4-8fbf-55e0dd863434 · outbound

This paper cites Making SGD parameter-free.

Stochastic Adaptive Gradient Descent Without Descent Making SGD parameter-free

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.485330Z

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Observation ee45d76b-4018-4ffa-87a4-8a087f48b818 · outbound

This paper cites Second-order step-size tuning of SGD for non-convex optimization.Neural Processing Letters, 54(3):1727–1752, 2022.

Stochastic Adaptive Gradient Descent Without Descent Second-order step-size tuning of SGD for non-convex optimization.Neural Processing Letters, 54(3):1727–1752, 2022

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.396419Z

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Observation 0790e4b9-2d94-4595-b944-e8775f091fc1 · outbound

This paper cites Fast bundle-level methods for unconstrained and ball-constrained convex optimization.Computational Optimization and Applications, 73(1):159–199, 2019.

Stochastic Adaptive Gradient Descent Without Descent Fast bundle-level methods for unconstrained and ball-constrained convex optimization.Computational Optimization and Applications, 73(1):159–199, 2019

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.326011Z

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Observation c3abeb0f-0392-48a7-8dd6-8218b9f2d7f0 · outbound

This paper cites Convergence rates of gradient methods for convex optimization in the space of measures.Open J.

Stochastic Adaptive Gradient Descent Without Descent Convergence rates of gradient methods for convex optimization in the space of measures.Open J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.315693Z

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Observation 140c0664-2c14-49ef-8c24-735a3533fd20 · outbound

This paper cites New tight bounds for SGD without variance assumption: A computer-aided Lyapunov analysis.arXiv preprint arXiv:2505.17965, 2025.

Stochastic Adaptive Gradient Descent Without Descent New tight bounds for SGD without variance assumption: A computer-aided Lyapunov analysis.arXiv preprint arXiv:2505.17965, 2025

Reference 11

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Observation e26ba4f2-82e7-4cac-b269-8d3b3553ff1a · outbound

This paper cites Artificial constraints and hints for unbounded online learning.

Stochastic Adaptive Gradient Descent Without Descent Artificial constraints and hints for unbounded online learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.304197Z

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Observation 1c05c533-0bc4-49df-911f-dbf26ce0137a · outbound

This paper cites Learning-rate-free learning by d-adaptation.

Stochastic Adaptive Gradient Descent Without Descent Learning-rate-free learning by d-adaptation

Reference 13

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Observation eff84c2b-4497-480f-9b5b-b057e7cf982b · outbound

This paper cites Grad-GradaGrad? A Non-Monotone Adaptive Stochastic Gradient Method.

Stochastic Adaptive Gradient Descent Without Descent Grad-GradaGrad? A Non-Monotone Adaptive Stochastic Gradient Method

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:07.421848Z

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Observation 3c24ff1d-ccba-4b4b-b9b5-52b9b9f4fada · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic opti- mization.Journal of Machine Learning Research, 12(7), 2011.

Stochastic Adaptive Gradient Descent Without Descent Adaptive subgradient methods for online learning and stochastic opti- mization.Journal of Machine Learning Research, 12(7), 2011

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.285698Z

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Observation bc8321df-3c0b-48d7-9eac-604bfc083a27 · outbound

This paper cites Duflo.Random iterative models, volume 34 ofApplications of Mathematics, New York.

Stochastic Adaptive Gradient Descent Without Descent Duflo.Random iterative models, volume 34 ofApplications of Mathematics, New York

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.272947Z

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Observation aa693b89-a4ec-43dd-a207-21f99067efa3 · outbound

This paper cites The power of adaptivity in SGD: Self-tuning step sizes with unbounded gradients and affine variance.

Stochastic Adaptive Gradient Descent Without Descent The power of adaptivity in SGD: Self-tuning step sizes with unbounded gradients and affine variance

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.261625Z

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Observation 6e2d9cdb-3c3f-40b2-893a-7800631c9af1 · outbound

This paper cites Learning rate selection in stochastic gradient methods based on line search strategies.Applied Mathematics in Science and Engineering, 31(1):2164000, 2023.

Stochastic Adaptive Gradient Descent Without Descent Learning rate selection in stochastic gradient methods based on line search strategies.Applied Mathematics in Science and Engineering, 31(1):2164000, 2023

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.249426Z

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Observation cc2d94ea-5041-4793-9690-b9e0a3af17c5 · outbound

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

Stochastic Adaptive Gradient Descent Without Descent Handbook of Convergence Theorems for (Stochastic) Gradient Methods

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:07.440472Z

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Observation cd6dab65-6b8b-468b-b38b-c5bcb06ad2bc · outbound

This paper cites A neural-network-based convex regularizer for inverse problems.IEEE Trans.

Stochastic Adaptive Gradient Descent Without Descent A neural-network-based convex regularizer for inverse problems.IEEE Trans

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.237925Z

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Observation feba319e-8c15-4fbc-a349-b7dad3d9efb4 · outbound

This paper cites On optimal universal first-order methods for minimizing heterogeneous sums.Optimization Letters, 18(2):427–445, 2024.

Stochastic Adaptive Gradient Descent Without Descent On optimal universal first-order methods for minimizing heterogeneous sums.Optimization Letters, 18(2):427–445, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.227519Z

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Observation bacb869c-9fcb-4e48-a60b-22086e0761fe · outbound

This paper cites Revisiting the Polyak step size.

Stochastic Adaptive Gradient Descent Without Descent Revisiting the Polyak step size

Reference 22

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Observation 7ce6b06f-3c1c-4aa6-ac22-42f9a31a9acb · outbound

This paper cites Ismailov.Ridge functions and applications in neural networks, volume 263 ofMathematical Surveys and Monographs.

Stochastic Adaptive Gradient Descent Without Descent Ismailov.Ridge functions and applications in neural networks, volume 263 ofMathematical Surveys and Monographs

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.216038Z

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Observation a175e88c-0b64-4b61-b98a-e8d77019fef2 · outbound

This paper cites DoG is SGD’s best friend: A parameter-free dynamic step size schedule.

Stochastic Adaptive Gradient Descent Without Descent DoG is SGD’s best friend: A parameter-free dynamic step size schedule

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.203786Z

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Observation c50062e0-4bd4-4bdd-8fa6-fd1254a52309 · outbound

This paper cites Tuning-free stochastic optimization.

Stochastic Adaptive Gradient Descent Without Descent Tuning-free stochastic optimization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.191022Z

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Observation 2dad2205-f1a9-4e60-835d-3f311736d5d4 · outbound

This paper cites DoWG Unleashed: An efficient universal parameter-free gradi- ent descent method.Advances in Neural Information Processing Systems, 36:6748–6769, 2023.

Stochastic Adaptive Gradient Descent Without Descent DoWG Unleashed: An efficient universal parameter-free gradi- ent descent method.Advances in Neural Information Processing Systems, 36:6748–6769, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.178752Z

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Observation 303be1cc-f74d-40d8-af06-8b798d32d4e7 · outbound

This paper cites ADAM: A method for stochastic optimization.

Stochastic Adaptive Gradient Descent Without Descent ADAM: A method for stochastic optimization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.167436Z

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Observation 76274d5a-228b-4715-80d3-e5216f0852e4 · outbound

This paper cites Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization.

Stochastic Adaptive Gradient Descent Without Descent Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization

Reference 28

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Observation fb31f7df-5cd1-4727-830f-864e0dc89356 · outbound

This paper cites Adaptive proximal algorithms for convex optimization under local lipschitz continuity of the gradient.Mathematical Programming, pages 1–39, 2024.

Stochastic Adaptive Gradient Descent Without Descent Adaptive proximal algorithms for convex optimization under local lipschitz continuity of the gradient.Mathematical Programming, pages 1–39, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.150660Z

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Observation 7f7e61f7-4a91-4cb1-8a2d-ae8c3823a604 · outbound

This paper cites Online to offline conversions, universality and adaptive minibatch sizes.Advances in Neural Information Processing Systems, 30, 2017.

Stochastic Adaptive Gradient Descent Without Descent Online to offline conversions, universality and adaptive minibatch sizes.Advances in Neural Information Processing Systems, 30, 2017

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.138355Z

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Observation 8d01bc9b-8e29-440c-81b9-febc9acb6297 · outbound

This paper cites A simple uniformly optimal method without line search for convex optimization.

Stochastic Adaptive Gradient Descent Without Descent A simple uniformly optimal method without line search for convex optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:07.484917Z

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Observation 0c4f6c97-5b1e-49b4-b26f-7f3e2119ab7e · outbound

This paper cites On the convergence of stochastic gradient descent with adaptive stepsizes.

Stochastic Adaptive Gradient Descent Without Descent On the convergence of stochastic gradient descent with adaptive stepsizes

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.126222Z

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Observation 38d041ae-4ee6-477e-902f-99b01ca736b2 · outbound

This paper cites Stochastic polyak step-size for SGD: An adaptive learning rate for fast convergence.

Stochastic Adaptive Gradient Descent Without Descent Stochastic polyak step-size for SGD: An adaptive learning rate for fast convergence

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Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:07.493114Z

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Observation 24a15f6b-751f-4d91-894c-03ece99c5e46 · outbound

This paper cites Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization.

Stochastic Adaptive Gradient Descent Without Descent Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:59:07.697262Z

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Observation 4fb0c890-86e0-4d9f-9ca1-4bd35ca3b3d3 · outbound

This paper cites Adaptive gradient descent without descent.

Stochastic Adaptive Gradient Descent Without Descent Adaptive gradient descent without descent

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.107434Z

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Observation ff61b99f-f1a8-4c31-b5be-e7c1fa9d2798 · outbound

This paper cites Adaptive proximal gradient method for convex optimization.Advances in Neural Information Processing Systems, 37:100670–100697, 2024.

Stochastic Adaptive Gradient Descent Without Descent Adaptive proximal gradient method for convex optimization.Advances in Neural Information Processing Systems, 37:100670–100697, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.092416Z

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Observation 83ceb75f-5465-4585-a8b6-56b2eca9fbe4 · outbound

This paper cites Adaptive bound optimization for online convex optimization.

Stochastic Adaptive Gradient Descent Without Descent Adaptive bound optimization for online convex optimization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.078631Z

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Observation 590c4013-2aab-4b00-bd5b-7574d819ad9a · outbound

This paper cites Prodigy: An expeditiously adaptive parameter-free learner.

Stochastic Adaptive Gradient Descent Without Descent Prodigy: An expeditiously adaptive parameter-free learner

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.066315Z

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Observation 0a860d4c-3d81-4e56-97f7-2ed0db1dc669 · outbound

This paper cites Universal gradient methods for convex optimization problems.Mathematical Programming, 152(1):381– 404, 2015.

Stochastic Adaptive Gradient Descent Without Descent Universal gradient methods for convex optimization problems.Mathematical Programming, 152(1):381– 404, 2015

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.055338Z

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Observation 9858f094-aec4-434e-97b3-b7a86d5480a1 · outbound

This paper cites A method of solving a convex programming problem with convergence rate O 1 k2.

Stochastic Adaptive Gradient Descent Without Descent A method of solving a convex programming problem with convergence rate O 1 k2

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.044167Z

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Observation defe4a81-6ef4-4fef-96b3-80681a1795c7 · outbound

This paper cites Springer Science & Business Media, 2013.

Stochastic Adaptive Gradient Descent Without Descent Springer Science & Business Media, 2013

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:07.530945Z

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Observation 5ca82a62-91e6-47c9-a69e-3ffb1a9fb9f1 · outbound

This paper cites Simultaneous model selection and optimization through parameter-free stochastic learning.Ad- vances in Neural Information Processing Systems, 27, 2014.

Stochastic Adaptive Gradient Descent Without Descent Simultaneous model selection and optimization through parameter-free stochastic learning.Ad- vances in Neural Information Processing Systems, 27, 2014

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.024839Z

Source-reported events for the cited work

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Observation 731ef92c-faeb-4a58-b737-16f0d94a6409 · outbound

This paper cites Normalized Gradients for All.

Stochastic Adaptive Gradient Descent Without Descent Normalized Gradients for All

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:07.539876Z

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Observation 67d39c1b-c324-4921-aec4-45f45bce4444 · outbound

This paper cites Icml 2020 tutorial on parameter-free online optimization, 2020.

Stochastic Adaptive Gradient Descent Without Descent Icml 2020 tutorial on parameter-free online optimization, 2020

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:08.012262Z

Source-reported events for the cited work

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Observation c0e0de3d-0d15-4999-a295-088e2c922ee8 · outbound

This paper cites Coin betting and parameter-free online learning.Advances in Neural Information Processing Systems, 29, 2016.

Stochastic Adaptive Gradient Descent Without Descent Coin betting and parameter-free online learning.Advances in Neural Information Processing Systems, 29, 2016

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:07.997311Z

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Observation 1588ba47-5fc5-4574-81ac-439271e3e317 · outbound

This paper cites Parameter-free Stochastic Optimization of Variationally Coherent Functions.

Stochastic Adaptive Gradient Descent Without Descent Parameter-free Stochastic Optimization of Variationally Coherent Functions

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:07.551940Z

Source-reported events for the cited work

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Observation 141aeb97-6624-456d-a489-40cee3d94474 · outbound

This paper cites Training deep networks without learning rates through coin betting.Ad- vances in neural information processing systems, 30, 2017.

Stochastic Adaptive Gradient Descent Without Descent Training deep networks without learning rates through coin betting.Ad- vances in neural information processing systems, 30, 2017

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:07.979548Z

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Observation 050cc27b-5502-4d5b-bdbb-30a9a4c2d9ab · outbound

This paper cites Pedregosa, G.

Stochastic Adaptive Gradient Descent Without Descent Pedregosa, G

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:07.561094Z

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Observation d195bf5e-95d7-4a68-afab-f8d1ff788cd6 · outbound

This paper cites New York, Optimization Software,, 1987.

Stochastic Adaptive Gradient Descent Without Descent New York, Optimization Software,, 1987

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:07.953859Z

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Observation 6bd2c4f5-c401-4783-aca7-48833feb4f82 · outbound

This paper cites Statistical complexity and optimal algorithms for nonlinear ridge bandits.The Annals of Statistics, 52(6):2557 – 2582, 2024.

Stochastic Adaptive Gradient Descent Without Descent Statistical complexity and optimal algorithms for nonlinear ridge bandits.The Annals of Statistics, 52(6):2557 – 2582, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:07.939370Z

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Observation a0bd617d-532c-4d3c-b9d5-293dda0b98a6 · outbound

This paper cites The Barzilai and Borwein gradient method for the large scale unconstrained minimization problem.

Stochastic Adaptive Gradient Descent Without Descent The Barzilai and Borwein gradient method for the large scale unconstrained minimization problem

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:07.927117Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4843c126-a99f-4cd0-8710-6d4c73e56b16 · outbound

This paper cites Robbins and D.

Stochastic Adaptive Gradient Descent Without Descent Robbins and D

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:07.912448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 790950f1-63a9-41ae-aa73-4201b3363fbb · outbound

This paper cites Robles-Kelly and A.

Stochastic Adaptive Gradient Descent Without Descent Robles-Kelly and A

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:07.897216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d30a7e49-5966-47c4-a92d-3a129da31d48 · outbound

This paper cites Optimizer benchmarking needs to account for hyperparameter tuning.

Stochastic Adaptive Gradient Descent Without Descent Optimizer benchmarking needs to account for hyperparameter tuning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:07.883611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a43bd19-7ae7-450d-9640-45793f57df6b · outbound

This paper cites Barzilai-borwein step size for stochastic gradient descent.

Stochastic Adaptive Gradient Descent Without Descent Barzilai-borwein step size for stochastic gradient descent

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:07.871122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43fa126e-d9c9-45fb-8e63-d439ced752b0 · outbound

This paper cites RMSprop: Divide the gradient by a running average of its recent magnitude.

Stochastic Adaptive Gradient Descent Without Descent RMSprop: Divide the gradient by a running average of its recent magnitude

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:07.858763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6bd536bb-2809-4111-ae3c-ae8ee4d89d70 · outbound

This paper cites Finally, for the right-hand side of (26), from (4), θkλk = λ2 k λk−1 ≤λ k−1 1 + 1− 1 k1/2+δ θk−1 =λ k−1 1 +θk−1− θk−1 k1/2+δ =λ k−1 (1 +θk−1) 1− 1 k1/2+δ θk−1 1 +θk−1.

Stochastic Adaptive Gradient Descent Without Descent Finally, for the right-hand side of (26), from (4), θkλk = λ2 k λk−1 ≤λ k−1 1 + 1− 1 k1/2+δ θk−1 =λ k−1 1 +θk−1− θk−1 k1/2+δ =λ k−1 (1 +θk−1) 1− 1 k1/2+δ θk−1 1 +θk−1

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:07.848187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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