Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:34.435217Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 3 inbound Pith citation observations for arXiv:1908.01871.
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 2026-08-14T15:09:34.435217Z
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, observed 2026-08-14T10:22:25.619924Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T23:47:19.769178Z
58 of 58 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 22322ee3-3bbb-4935-b144-49ebecc73ceb · outbound
Reference 1
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Allen-Zhu and E
Reference 2
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Bayandina, P
Reference 3
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Unresolved cited work
Reference 4
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Reference 5
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization
Reference 6
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Reference 9
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
Reference 10
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Two-Player Games for Efficient Non-Convex Constrained Optimization
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Crammer and Y
Reference 12
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Complexity of finding near-stationary points of convex functions stochastically
Reference 13
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Stochastic model-based minimization of weakly convex functions
Reference 14
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Stochastic subgradient method converges at the rate $O(k^{-1/4})$ on weakly convex functions
Reference 15
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems
Reference 16
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints The proximal point method revisited
Reference 17
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Drusvyatskiy and C
Reference 18
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Almost surely constrained convex optimization
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Ghadimi and G
Reference 20
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Ghadimi and G
Reference 21
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Reference 22
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Convergence Rate of Frank-Wolfe for Non-Convex Objectives
Reference 23
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Reference 24
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Accelerated Stochastic Algorithms for Nonconvex Finite-sum and Multi-block Optimization
Reference 25
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Algorithms for stochastic optimization with functional or expectation constraints
Reference 26
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems
Reference 27
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Reference 29
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Paquette, H
Reference 34
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Unresolved cited work
Reference 35
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Reference 37
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Reference 38
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Rockafellar
Reference 40
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Reference 56
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