Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:56:13.454619Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2501.00511.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:56:13.454619Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
81 of 81 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 77881e58-ab0f-4df2-bef1-ad053a373406 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements SGD with shuffling: optimal rates without component convexity and large epoch requirements.Advances in Neural Information Processing Systems, 33:17526–17535, 2020
Reference 1
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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Stochastic variance reduction for variational inequality methods
Reference 2
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Observation 2b3cb012-475f-4340-837f-7e9e6f20312f · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Arrow and Leonid Hurwicz
Reference 3
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Observation f56adf1c-2c9c-45d1-8b85-53d7bb5dbda3 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements A tight and unified analysis of gradient-based methods for a whole spectrum of differentiable games
Reference 4
Source-reported events for the cited work
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Observation b0c0a5ad-527c-4758-ad35-62d239d6c437 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Bauschke and Patrick L
Reference 5
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Observation 9b401f3a-289a-4a8f-a322-0f42db94cc16 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Distributed Saddle-Point Problems: Lower Bounds, Near-Optimal and Robust Algorithms
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Observation 075f1b7d-c8e9-4b16-8683-b6db31b8fd9c · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Smooth monotone stochastic variational inequalities and saddle point problems: A survey
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Observation e26b5dc7-b234-45c9-8d38-c392cfd63d4c · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Curiously fast convergence of some stochastic gradient descent algorithms
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Observation c2997f23-01b6-44d2-93af-ed37190844b4 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Stochastic Halpern iteration with variance reduction for stochastic monotone inclusions
Reference 9
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Observation a2576805-86a1-45e7-be21-b2caf9f32102 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Variance reduction for matrix games
Reference 10
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Observation 1ce036f8-d815-4e15-8a89-0db75e376777 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Tighter lower bounds for shuffling SGD: Random permutations and beyond
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Observation 96236bdb-4b5b-4ad5-b839-b1aaf6522061 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Taming GANs with Lookahead-minmax
Reference 12
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Observation 11d7bd2e-26c4-42f2-ae6e-da988d75910f · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
Reference 13
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Observation f64bac73-8a55-4690-97fc-61c6e01e17eb · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Single-call stochastic extragra- dient methods for structured non-monotone variational inequalities: Improved analysis under weaker conditions
Reference 14
Source-reported events for the cited work
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Observation 0690018d-7c16-4f38-bce2-79c0fd0f82ee · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Sampling without replacement leads to faster rates in finite-sum minimax optimization
Reference 15
Source-reported events for the cited work
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Observation d0d4487b-75c3-4dfc-a55d-fd4302c37da9 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements On the ineffectiveness of variance reduced optimization for deep learning
Reference 16
Source-reported events for the cited work
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Observation 119b71cc-f59b-4dd6-845c-9ded3ebf860a · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work
Reference 17
Source-reported events for the cited work
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Observation e7851d0e-c888-484c-91eb-40a653ac85ac · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Stochastic extragradient with random reshuffling: Improved convergence for variational inequalities
Reference 18
Source-reported events for the cited work
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Observation 721eff05-2f15-4f29-82d8-db2df56c9dca · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Generative adversarial nets
Reference 19
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Observation 5f1245af-4491-4253-8e5e-86f6ce3b7b14 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Stochastic extragradient: General analysis and improved rates
Reference 20
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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Extragradient method: O(1/K) last- iterate convergence for monotone variational inequalities and connections with cocoercivity
Reference 21
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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements The landscape of the proximal point method for nonconvex–nonconcave minimax optimization
Reference 22
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Observation bde60dc3-ca9d-4a24-8ca4-bb5aee766055 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Fixed points of nonexpanding maps
Reference 23
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Observation fc8afec6-5e99-4f33-9960-580251b57613 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Harris, K
Reference 24
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Observation 2afccee3-3732-415e-982f-26113978ce5a · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Explore aggressively, update conservatively: Stochastic extragradient methods with variable stepsize scaling
Reference 25
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Observation 9547936c-6c4c-4b91-a48c-940bb36b50e7 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work
Reference 26
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Observation bad01ed6-8323-4de3-9b2c-5fb521eac567 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Solving variational inequalities with stochastic mirror-prox algorithm
Reference 27
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Observation b24d28dd-0658-4da5-a77d-6404f62d29d1 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Consistency trajectory models: Learning probability flow ODE trajectory of diffusion
Reference 28
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Observation 5895d2bb-4bd4-49a8-a2c5-3354690bd21e · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Korpelevich
Reference 29
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Observation 08068e7b-a193-42c5-8c8a-44cb5ec43df8 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work
Reference 30
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Observation e69b6f7f-35a2-4422-bf5d-23cf72cc916b · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Stochastic gradient descent-ascent and consensus optimization for smooth games: Convergence analysis under expected co-coercivity
Reference 31
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Observation 6d2a1736-f37a-4d77-8215-a9e54bfca1f1 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements GraB: Finding provably better data per- mutations than random reshuffling
Reference 32
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Observation d8d23647-bcfd-489f-9944-20cce9e15283 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Robert Mann
Reference 33
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Observation f7c69040-b30c-404a-bbf3-281f0576ca85 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Regularisation d’inéquations variationelles par approximations succesives
Reference 34
Source-reported events for the cited work
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Observation 3ff565ff-0bcb-4359-90fb-53771071ae42 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Random reshuffling: Simple analysis with vast improvements
Reference 35
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Observation e42731dc-53bb-4bcc-b434-d89b8280090d · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Revisiting stochastic extragradient
Reference 36
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Observation 9d8600ff-32d6-4b4f-9184-e198aeaf0910 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Towards deep learning models resistant to adversarial attacks
Reference 37
Source-reported events for the cited work
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Observation 06f6ba25-08f8-4a45-b2f5-daed0aaf7d36 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements A unified analysis of extra-gradient and optimistic gradient methods for saddle point problems: Proximal point approach
Reference 38
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Observation f4ba4c8b-9dba-483b-9192-ae2858ed4b36 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements SGD without replacement: Sharper rates for general smooth convex functions
Reference 39
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Observation d8c8f8ac-3620-4a06-b45d-3019ac5885fc · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Lectures on convex optimization, volume 137 of Springer Optimization and Its Applications
Reference 40
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Observation c5b26c09-870d-4b27-a99c-c5c4980f7901 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Nguyen, Quoc Tran-Dinh, Dzung T
Reference 41
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Observation e7d79004-77e5-465c-a7c7-76b5e91609cb · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Solving stochastic weak Minty variational inequalities without increasing batch size
Reference 42
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Observation d11cdd0c-bb27-4d42-ac7c-9c10d94c9059 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Stable nonconvex-nonconcave training via linear interpolation
Reference 43
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Observation 07172263-de29-4738-b5aa-91e89fd252da · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work
Reference 44
Source-reported events for the cited work
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Observation 688f693a-c15c-4723-bf83-2deb62d0fe02 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Closing the convergence gap of SGD without replacement
Reference 45
Source-reported events for the cited work
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Observation 226abc26-a49e-4fe8-a4d4-69207e674ac1 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Permutation-based SGD: Is random optimal? In International Conference on Learning Representations, 2022
Reference 46
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Observation 93ea3823-4b55-4856-b51c-fb5caff76386 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Parallel stochastic gradient algorithms for large-scale matrix completion
Reference 47
Source-reported events for the cited work
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Observation 9267a769-9b92-4dda-81de-20d5758d9823 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Generative modeling with optimal transport maps
Reference 48
Source-reported events for the cited work
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Observation 4283459f-fbb7-4faf-abbe-a6e3cdb57f66 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements How good is SGD with random shuffling? In Conference on Learning Theory, pages 3250–3284
Reference 49
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Observation 52537485-4171-4f7b-b9ee-294cd4eb6b96 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Random shuffling beats SGD only after many epochs on ill- conditioned problems
Reference 50
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Observation f0094abb-8fa0-43f2-a013-4a4c3d5b0797 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Solodov and Benar F
Reference 51
Source-reported events for the cited work
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Observation cf844b8d-849c-4f2b-bef6-6a504351f745 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J
Reference 52
Source-reported events for the cited work
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Observation 8aca27a3-e3aa-4d65-bbf2-3c5611e8d1fc · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Multi-agent reinforcement learning via double averaging primal-dual optimization
Reference 53
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Observation f40e06f3-31e5-4f42-ae53-b84900bacc00 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work
Reference 54
Source-reported events for the cited work
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Observation ddfb53f3-017d-411d-b478-9982b4fc6d00 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Open problem: Can single-shuffle SGD be better than reshuffling SGD and GD? In Conference on Learning Theory, pages 4653–4658
Reference 55
Source-reported events for the cited work
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Observation e8c5873d-30ce-4b30-98b2-859e98d1247a · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements averaged
Reference 56
Source-reported events for the cited work
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Observation a0f831fc-4c9c-4128-b89e-5cf3ab0dddd7 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements star-monotone
Reference 58
Source-reported events for the cited work
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Observation 46d37ca0-11de-4459-92a0-ff2ac00fb244 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work
Reference 59
Source-reported events for the cited work
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Observation 7ca3d0fb-42f8-427d-89e0-c7b335f6c835 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements convergence
Reference 60
Source-reported events for the cited work
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Observation c3706695-4448-403f-9c42-b3437a70b648 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements That is, the iterate moves away from the equilibrium in expectation
Reference 61
Source-reported events for the cited work
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Observation 670d075e-8af2-4f9b-ab1b-aa25a14834b8 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements That is, the expected squared distance shrinks but is lower bounded by a certain constant independent of the stepsizes
Reference 62
Source-reported events for the cited work
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Observation eaf5aa60-d5b0-4c8d-9045-fb9e7385e190 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work
Reference 63
Source-reported events for the cited work
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Observation 7280d2e8-4d54-44f1-9840-97ad55a28ac7 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work
Reference 64
Source-reported events for the cited work
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Observation f5c02aae-26f2-4364-a186-04a7bb127910 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Unresolved cited work
Reference 65
Source-reported events for the cited work
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Observation 393a07ba-4269-4430-bd6f-6089dde9520c · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements large epoch
Reference 66
Source-reported events for the cited work
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Observation 06c88094-9289-4925-8b65-bdd36c71b682 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper
Reference 67
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Observation 51044856-0e84-4687-95c8-9d33bf4c0db8 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Limitations
Reference 68
Source-reported events for the cited work
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Observation 6409b953-fffa-468f-b110-4048a083d7d3 · outbound
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Full proofs of the theorems/lemmata/propositions can be found in the appendices
Reference 69
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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements We have also submitted the exact code that we used for our experiments as a supplemental material
Reference 70
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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that paper does not include experiments requiring code
Reference 71
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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements The code we submit along with the paper is an exact copy of the one we used in the reported experiments, so the details not included in the paper shall be found in the code itself
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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that the paper does not include experiments
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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that the paper poses no such risks
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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that the paper does not release new assets
Reference 79
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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects
Reference 80
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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Guidelines: 79 • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects
Reference 81
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Reference 1956
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