On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities | Paper Citation Record

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This paper cites Lai, and Andre Wibisono.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Lai, and Andre Wibisono

Reference 1

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This paper cites Solving stochastic variational inequalities without the bounded variance assumption.arXiv:2602.05531, 2026.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Solving stochastic variational inequalities without the bounded variance assumption.arXiv:2602.05531, 2026

Reference 2

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This paper cites Beyond the golden ratio for variational inequality algorithms.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Beyond the golden ratio for variational inequality algorithms

Reference 3

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On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Unresolved cited work

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This paper cites Towards Weaker Variance Assumptions for Stochastic Optimization.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Towards Weaker Variance Assumptions for Stochastic Optimization

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This paper cites Sifting through the noise: Universal first-order methods for stochastic variational inequalities.Neural Information Processing Systems, 2021.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Sifting through the noise: Universal first-order methods for stochastic variational inequalities.Neural Information Processing Systems, 2021

Reference 6

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This paper cites A tight and unified analysis of gradient- based methods for a whole spectrum of differentiable games.International Conference on Artificial Intelligence and Statistics, 2020.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities A tight and unified analysis of gradient- based methods for a whole spectrum of differentiable games.International Conference on Artificial Intelligence and Statistics, 2020

Reference 7

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This paper cites A universal algorithm for variational inequalities adaptive to smoothness and noise.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities A universal algorithm for variational inequalities adaptive to smoothness and noise

Reference 8

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This paper cites Decentralized local stochastic extra-gradient for variational inequalities.Neural Information Processing Systems, 2022.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Decentralized local stochastic extra-gradient for variational inequalities.Neural Information Processing Systems, 2022

Reference 9

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This paper cites Stochastic gradient descent-ascent: Unified theory and new efficient methods.International Conference on Artificial Intelligence and Statistics, 2023.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Stochastic gradient descent-ascent: Unified theory and new efficient methods.International Conference on Artificial Intelligence and Statistics, 2023

Reference 10

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On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Unresolved cited work

Reference 11

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This paper cites Solving nonconvex-nonconcave min-max problems exhibiting weak minty solutions.Transactions on Machine Learning Research, 2023.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Solving nonconvex-nonconcave min-max problems exhibiting weak minty solutions.Transactions on Machine Learning Research, 2023

Reference 12

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This paper cites Bot ¸ and Enis Chenchene.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Bot ¸ and Enis Chenchene

Reference 13

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This paper cites Fast Optimistic Gradient Descent Ascent (OGDA) Method in Continuous and Discrete Time.Foundations of Computational Mathematics, 25(1):163–222, 2025.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Fast Optimistic Gradient Descent Ascent (OGDA) Method in Continuous and Discrete Time.Foundations of Computational Mathematics, 25(1):163–222, 2025

Reference 14

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This paper cites Stochastic halpern iteration with variance reduction for stochastic monotone inclusions.Neural Information Processing Systems, 2022.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Stochastic halpern iteration with variance reduction for stochastic monotone inclusions.Neural Information Processing Systems, 2022

Reference 15

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This paper cites Accelerated single-call methods for constrained min-max optimization.International Conference on Learning Representations, 2023.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Accelerated single-call methods for constrained min-max optimization.International Conference on Learning Representations, 2023

Reference 16

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This paper cites Stochastic extragradient with flip-flop shuffling & anchoring: Provable improvements.Neural Information Processing Systems, 2024.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Stochastic extragradient with flip-flop shuffling & anchoring: Provable improvements.Neural Information Processing Systems, 2024

Reference 17

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This paper cites Reducing noise in GAN training with variance reduced extragradient.Neural Information Processing Systems, 2019.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Reducing noise in GAN training with variance reduced extragradient.Neural Information Processing Systems, 2019

Reference 18

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This paper cites Extragradient method for (L 0, L1)-Lipschitz root-finding problems.Neural Information Processing Systems, 2025.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Extragradient method for (L 0, L1)-Lipschitz root-finding problems.Neural Information Processing Systems, 2025

Reference 19

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On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Unresolved cited work

Reference 20

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This paper cites Shanbhag.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Shanbhag

Reference 21

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Observation ec26a6f4-d869-4381-8b1f-e719404e796a · outbound

This paper cites Halpern iteration for near-optimal and parameter-free monotone inclusion and strong solutions to variational inequalities.Conference on Learning Theory, 2020.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Halpern iteration for near-optimal and parameter-free monotone inclusion and strong solutions to variational inequalities.Conference on Learning Theory, 2020

Reference 22

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This paper cites Springer-Verlag, 2003.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Springer-Verlag, 2003

Reference 23

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This paper cites A variational inequality perspective on generative adversarial networks.International conference on Learning Representations, 2019.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities A variational inequality perspective on generative adversarial networks.International conference on Learning Representations, 2019

Reference 24

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This paper cites Negative momentum for improved game dynamics.International Conference on Artificial Intelligence and Statistics, 2019.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Negative momentum for improved game dynamics.International Conference on Artificial Intelligence and Statistics, 2019

Reference 25

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This paper cites On stochastic approximation.Theory of Probability & Its Applications, 10(2):275–278, 1965.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities On stochastic approximation.Theory of Probability & Its Applications, 10(2):275–278, 1965

Reference 26

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This paper cites Tight last-iterate convergence rates for no-regret learning in multi-player games.Neural Information Processing Systems, 2020.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Tight last-iterate convergence rates for no-regret learning in multi-player games.Neural Information Processing Systems, 2020

Reference 27

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This paper cites Last iterate is slower than averaged iterate in smooth convex-concave saddle point problems.Conference on Learning Theory, 2020.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Last iterate is slower than averaged iterate in smooth convex-concave saddle point problems.Conference on Learning Theory, 2020

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This paper cites Stochastic extragradient: General analysis and improved rates.International Conference on Artificial Intelligence and Statistics, 2022.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Stochastic extragradient: General analysis and improved rates.International Conference on Artificial Intelligence and Statistics, 2022

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On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Unresolved cited work

Reference 30

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This paper cites Last-iterate convergence of optimistic gradient method for monotone variational inequalities.Neural Information Processing Systems, 2022.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Last-iterate convergence of optimistic gradient method for monotone variational inequalities.Neural Information Processing Systems, 2022

Reference 31

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This paper cites Fixed points of nonexpanding maps.Bulletin of the American Mathematical Society, 73(6): 957–961, 1967.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Fixed points of nonexpanding maps.Bulletin of the American Mathematical Society, 73(6): 957–961, 1967

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This paper cites On the convergence of single-call stochastic extra-gradient methods.Neural Information Processing Systems, 2019.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities On the convergence of single-call stochastic extra-gradient methods.Neural Information Processing Systems, 2019

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This paper cites Explore aggressively, update conser- vatively: Stochastic extragradient methods with variable stepsize scaling.Neural Information Processing Systems, 2020.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Explore aggressively, update conser- vatively: Stochastic extragradient methods with variable stepsize scaling.Neural Information Processing Systems, 2020

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This paper cites Solving variational inequalities with stochastic mirror-prox algorithm.Stochastic Systems, 1(1):17–58, 2011.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Solving variational inequalities with stochastic mirror-prox algorithm.Stochastic Systems, 1(1):17–58, 2011

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This paper cites Shanbhag.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Shanbhag

Reference 36

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On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Unresolved cited work

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Observation 31159be0-5fc3-4ca0-80f2-cc1ff6f180cc · outbound

This paper cites A class of gap functions for variational inequalities.Mathematical Pro- gramming, 64(1):53–79, 1994.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities A class of gap functions for variational inequalities.Mathematical Pro- gramming, 64(1):53–79, 1994

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This paper cites Fundamental benefit of alternating updates in minimax optimization.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Fundamental benefit of alternating updates in minimax optimization

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This paper cites Fast extra gradient methods for smooth structured nonconvex-nonconcave minimax problems.Neural Information Processing Systems, 2021.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Fast extra gradient methods for smooth structured nonconvex-nonconcave minimax problems.Neural Information Processing Systems, 2021

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This paper cites Interaction matters: A note on non-asymptotic local convergence of generative adversarial networks.International Conference on Artificial Intelligence and Statistics, 2019.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Interaction matters: A note on non-asymptotic local convergence of generative adversarial networks.International Conference on Artificial Intelligence and Statistics, 2019

Reference 41

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This paper cites On the convergence rate of the Halpern-iteration.Optimization Letters, 15(2):405–418, 2021.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities On the convergence rate of the Halpern-iteration.Optimization Letters, 15(2):405–418, 2021

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This paper cites Stochastic Hamiltonian gradient methods for smooth games.International Conference on Machine Learning, 2020.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Stochastic Hamiltonian gradient methods for smooth games.International Conference on Machine Learning, 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:58.331212Z

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Observation a75c15fb-66db-4a02-bc7a-f797bc720947 · outbound

This paper cites Stochastic gradient descent-ascent and consensus optimization for smooth games: Convergence analysis under expected co-coercivity.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Stochastic gradient descent-ascent and consensus optimization for smooth games: Convergence analysis under expected co-coercivity

Reference 44

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Observation 4dd47e18-356c-44e8-b99d-e71b0b29cc76 · outbound

This paper cites Golden ratio algorithms for variational inequalities.Mathematical Programming, 184(1):383–410, 2020.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Golden ratio algorithms for variational inequalities.Mathematical Programming, 184(1):383–410, 2020

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This paper cites Foo, Vijay Chandrasekhar, and Georgios Piliouras.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Foo, Vijay Chandrasekhar, and Georgios Piliouras

Reference 46

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Observation 11f9f0e1-a24d-4d7b-8cec-b53d26bab32a · outbound

This paper cites The numerics of GANs.Neural Information Processing Systems, 2017.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities The numerics of GANs.Neural Information Processing Systems, 2017

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Observation fbabaf18-dfae-4bfc-a1ba-c9f6a8ed9145 · outbound

This paper cites On the generalization of a direct method of the calculus of variations.Bulletin of the American Mathematical Society, 73(6):315–321, 1967.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities On the generalization of a direct method of the calculus of variations.Bulletin of the American Mathematical Society, 73(6):315–321, 1967

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:57.512602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c63cdca1-051c-456d-ba9e-db7be7613640 · outbound

This paper cites Revisiting stochastic extragradient.International Conference on Artificial Intelligence and Statistics, 2020.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Revisiting stochastic extragradient.International Conference on Artificial Intelligence and Statistics, 2020

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:57.257684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8083cf8d-56fa-4e31-a9d9-4d714b5b400c · outbound

This paper cites an unresolved cited work.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:14:57.014638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0538bbcb-d8c3-437b-8218-19e0717e9592 · outbound

This paper cites Ozdaglar, and Sarath Pattathil.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Ozdaglar, and Sarath Pattathil

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:56.809198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1e431c2f-b2e7-43bf-bdbf-527b043c83bf · outbound

This paper cites an unresolved cited work.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:14:56.556352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e5913b94-9625-4cff-a7a6-d75ad3b99015 · outbound

This paper cites Nedi´ c and A.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Nedi´ c and A

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:56.274876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1fd68fe5-e9f5-4935-a740-41ceabfafafa · outbound

This paper cites Nemirovski, A.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Nemirovski, A

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:48.956758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 245b2eac-a8e9-43ad-87e2-b290b7ec8259 · outbound

This paper cites an unresolved cited work.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:14:56.049341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d34b2d1f-1cf0-4891-b852-ec3a72cef44c · outbound

This paper cites S Nemirovsky.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities S Nemirovsky

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:55.818429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e8bf5b60-7ca9-4ed0-a77d-095e3d6d3186 · outbound

This paper cites Dual extrapolation and its applications to solving variational inequalities and related problems.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Dual extrapolation and its applications to solving variational inequalities and related problems

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:55.621761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 701ed08b-97fc-43e1-9e25-417c8e0335aa · outbound

This paper cites Dealing with unbounded gradients in stochastic saddle-point optimization.Interna- tional Conference on Machine Learning, 2024.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Dealing with unbounded gradients in stochastic saddle-point optimization.Interna- tional Conference on Machine Learning, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:55.490727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c7b5fde-95c5-48fe-8b18-c8a7c361380e · outbound

This paper cites an unresolved cited work.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:14:55.208864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 58c69d47-0358-4525-9537-cca0b93f4cc7 · outbound

This paper cites Optimization, learning, and games with predictable sequences.Neural Infor- mation Processing Systems, 2013.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Optimization, learning, and games with predictable sequences.Neural Infor- mation Processing Systems, 2013

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:54.956269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e3fdc5c-f317-4604-a46a-99f5a38190fb · outbound

This paper cites A convergence theorem for non negative almost supermartingales and some applications.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities A convergence theorem for non negative almost supermartingales and some applications

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:54.742205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a763d11c-1548-4673-a06b-3f6bcfa0e87a · outbound

This paper cites Tyrrell Rockafellar.Convex Analysis.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Tyrrell Rockafellar.Convex Analysis

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:49.724840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37797c52-3b0a-4f29-8cae-143914ac747c · outbound

This paper cites A fast optimistic method for monotone variational inequalities.Proceedings of the 40th international conference on machine learning, 2023.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities A fast optimistic method for monotone variational inequalities.Proceedings of the 40th international conference on machine learning, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:54.497666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61c63e24-1a19-43f8-822e-a7c9aa089ce0 · outbound

This paper cites Negative Stepsizes Make Gradient-Descent-Ascent Converge.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Negative Stepsizes Make Gradient-Descent-Ascent Converge

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:50.174959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ba34d8f-69ac-46d8-8f00-30fcd9b13ede · outbound

This paper cites an unresolved cited work.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:14:54.313106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d3f844fa-e73f-4b9d-a47b-da4f1aa7926d · outbound

This paper cites Formes bilineaires coercitives sur les ensembles convexes.Comptes Rendus Academie Des Sciences Paris, 258:4413–4416, 1964.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Formes bilineaires coercitives sur les ensembles convexes.Comptes Rendus Academie Des Sciences Paris, 258:4413–4416, 1964

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:54.065017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 15a04f4b-2ac9-4e26-97ce-15f6e6480b83 · outbound

This paper cites Extragradient-type methods withO(1/k) last-iterate convergence rates for co-hypomonotone in- clusions.Journal of Global Optimization, 89(1):197–221, 2024.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Extragradient-type methods withO(1/k) last-iterate convergence rates for co-hypomonotone in- clusions.Journal of Global Optimization, 89(1):197–221, 2024

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:53.905138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation be50ce1d-7454-4e78-bca4-c6bc95514496 · outbound

This paper cites From Halpern’s fixed-point iterations to Nesterov’s accelerated interpretations for root-finding problems.Computational Optimization and Applications, 87(1):181–218, 2024.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities From Halpern’s fixed-point iterations to Nesterov’s accelerated interpretations for root-finding problems.Computational Optimization and Applications, 87(1):181–218, 2024

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:50.620116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be0bd105-88af-4c82-a606-49ffb5a8439f · outbound

This paper cites VFOSA: Variance-reduced fast operator splitting algorithms for generalized equations.Journal of Machine Learning Research, 26(254):1–68, 2025.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities VFOSA: Variance-reduced fast operator splitting algorithms for generalized equations.Journal of Machine Learning Research, 26(254):1–68, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:53.717591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5575f1cf-d8c8-44cd-9563-6022befd3da1 · outbound

This paper cites Halpern-Type Accelerated and Splitting Algorithms For Monotone Inclusions.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Halpern-Type Accelerated and Splitting Algorithms For Monotone Inclusions

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:50.857209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00009c88-425e-4a45-bd21-f6dc3f72fe0a · outbound

This paper cites A modified forward-backward splitting method for maximal monotone mappings.SIAM Journal on Control and Optimization, 38(2):431–446, 2000.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities A modified forward-backward splitting method for maximal monotone mappings.SIAM Journal on Control and Optimization, 38(2):431–446, 2000

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:53.523322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c558d14-15e4-4de6-a568-122c5330622c · outbound

This paper cites Bertsekas.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Bertsekas

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:53.369553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 60025990-d601-4a8a-9683-c9dd078d82f5 · outbound

This paper cites Jacobs, and Tom Goldstein.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Jacobs, and Tom Goldstein

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:53.245949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b327387-9db7-44c0-bfef-c9f271e3b962 · outbound

This paper cites A Theory of Composition and Duality of Extremal Optimal Fixed-Point Algorithms.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities A Theory of Composition and Duality of Extremal Optimal Fixed-Point Algorithms

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:51.347430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 616c9c1e-1e1f-42aa-8c14-18eb0d25e31b · outbound

This paper cites an unresolved cited work.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:51.491489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 341507ba-c281-4a7b-a7fc-d255c95b773f · outbound

This paper cites an unresolved cited work.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:51.577530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f50611-334c-46c3-9546-28e8c612fc06 · outbound

This paper cites Suh, and Ernest K.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Suh, and Ernest K

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:53.064781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a27b600b-e7e6-4004-8c3e-42907dd6f166 · outbound

This paper cites Ryu, and Benjamin Grimmer.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Ryu, and Benjamin Grimmer

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:51.799770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0fef878-07c4-406e-a8b0-864e6d0bbd53 · outbound

This paper cites Shanbhag.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Shanbhag

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:52.881280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 95206c51-d50f-447a-977e-e1ad383651e1 · outbound

This paper cites Dissipative gradient descent ascent method: A control theory inspired algorithm for min-max optimization.IEEE Control Systems Letters, 8:2009–2014, 2024.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities Dissipative gradient descent ascent method: A control theory inspired algorithm for min-max optimization.IEEE Control Systems Letters, 8:2009–2014, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:52.672800Z

Source-reported events for the cited work

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