Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:12:08.589422Z
Paper Citation Record · LEDGER
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation
As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.14479.
A citation records a reference. It does not transfer a finding from one paper to another.
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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
Reference resolution
46 of 46 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a560cc1b-cc96-4aaa-9452-6f540644c607 · outbound
This paper cites Lower bounds for non-convex stochastic optimization.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Lower bounds for non-convex stochastic optimization
Reference 1
- Resolution
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Observation 539e3140-8f3d-4697-82b4-1f4243111f5f · outbound
This paper cites Fixed-point algorithms for inverse problems in science and engineering , volume 49.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Fixed-point algorithms for inverse problems in science and engineering , volume 49
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation 3773ff04-eb07-4abf-b182-44b4d098ca6e · outbound
This paper cites A fast iterative shrinkage-thresholding algorithm for linear inverse problems.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation A fast iterative shrinkage-thresholding algorithm for linear inverse problems
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 686a8dcc-b5b9-4c52-a7fb-0062071aebb5 · outbound
This paper cites Adaptive sampling strategies for risk-averse stochastic optimization with constraints.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Adaptive sampling strategies for risk-averse stochastic optimization with constraints
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation d8e92fc2-dd7b-4fd4-a682-449c5e796a17 · outbound
This paper cites Convex optimization algorithms.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Convex optimization algorithms
Reference 5
- Resolution
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Source-reported events for the cited work
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Observation d0de0dc3-46dc-4197-a0c2-0314730dd094 · outbound
This paper cites Adaptive sampling strategies for stochastic optimization.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Adaptive sampling strategies for stochastic optimization
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0a61f800-7e12-4262-8428-2de682ce672f · outbound
This paper cites Inertial variable metric tech- niques for the inexact forward–backward algorithm.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Inertial variable metric tech- niques for the inexact forward–backward algorithm
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation 82748300-4cc5-49f4-a960-8f76b5099ea3 · outbound
This paper cites Sample size selection in optimization methods for machine learning.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Sample size selection in optimization methods for machine learning
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 90f32612-7d36-443a-a2e4-85f48d6df01a · outbound
This paper cites Lower bounds for finding stationary points i.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Lower bounds for finding stationary points i
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 556049b1-412f-4816-b462-90d9adcd74b5 · outbound
This paper cites Lower bounds for finding stationary points ii: first-order methods.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Lower bounds for finding stationary points ii: first-order methods
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 52a2494f-da95-4113-a3b4-325b4cba1e60 · outbound
This paper cites On the global convergence of trust region algorithms using inexact gradient information.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation On the global convergence of trust region algorithms using inexact gradient information
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 12f2661b-3e17-4a0f-9d54-4a2b094a44ba · outbound
This paper cites LIBSVM: A library for support vector machines.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation LIBSVM: A library for support vector machines
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 16e57dbd-e63d-407a-862a-ea542a14dec7 · outbound
This paper cites Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso
Reference 13
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 46f38fc8-93e1-4f9f-a0e8-c613882163e5 · outbound
This paper cites Composite objective mirror descent.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Composite objective mirror descent
Reference 14
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 63abf915-c7d6-4caa-8b17-e3da767288d0 · outbound
This paper cites Total variation projection with first order schemes.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Total variation projection with first order schemes
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1c2d886a-4a79-4a28-b14d-e58d36a8daa4 · outbound
This paper cites Optimal stochastic approximation algorithms for strongly convex stochastic composite optimization i: A generic algorithmic framework.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Optimal stochastic approximation algorithms for strongly convex stochastic composite optimization i: A generic algorithmic framework
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 23cca260-dee0-4b4f-ab18-a162133bcfd5 · outbound
This paper cites Accelerated gradient methods for nonconvex nonlinear and stochastic programming.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Accelerated gradient methods for nonconvex nonlinear and stochastic programming
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d2369d7d-eda1-44d3-8d07-06768a1e3409 · outbound
This paper cites Deblurring images: matrices, spectra, and filtering.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Deblurring images: matrices, spectra, and filtering
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4c77048d-7914-4ab2-9604-230201804fc9 · outbound
This paper cites Accelerated gradient methods for stochastic optimization and online learning.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Accelerated gradient methods for stochastic optimization and online learning
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 530c7242-c4b4-4a80-ab7d-b8a01d69d1e1 · outbound
This paper cites Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b3631ee6-3556-425a-afe4-be9c0b4e1f4d · outbound
This paper cites Smoothed variable sample-size accelerated proximal methods for nonsmooth stochastic convex programs.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Smoothed variable sample-size accelerated proximal methods for nonsmooth stochastic convex programs
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation 498ff812-16f4-4d96-9688-f1f5109e5af2 · outbound
This paper cites Proximal meth- ods for sparse hierarchical dictionary learning.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Proximal meth- ods for sparse hierarchical dictionary learning
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 25693dbe-e04b-45e9-84e3-edbcd09bf03e · outbound
This paper cites A generic acceleration framework for stochastic com- posite optimization.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation A generic acceleration framework for stochastic com- posite optimization
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 65efc038-b5de-4595-8e12-c2fa6fb4bdf4 · outbound
This paper cites An optimal method for stochastic composite optimization.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation An optimal method for stochastic composite optimization
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation 02cdf4fd-4b7e-4c24-a8c9-9d00e5ae82b2 · outbound
This paper cites On the Convergence of FedAvg on Non-IID Data.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation On the Convergence of FedAvg on Non-IID Data
Reference 25
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Source-reported events for the cited work
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Observation b1a543aa-fc70-450e-9d46-4ee580d56781 · outbound
This paper cites A simple proximal stochastic gradient method for nonsmooth nonconvex optimization.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation A simple proximal stochastic gradient method for nonsmooth nonconvex optimization
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation 3f9cc921-34df-4d79-a739-c97f175cca9a · outbound
This paper cites Zeroth-order gradient and quasi-newton methods for nonsmooth nonconvex stochastic optimization.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Zeroth-order gradient and quasi-newton methods for nonsmooth nonconvex stochastic optimization
Reference 27
- Resolution
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Observation ac6f836f-df3b-49b3-b9c2-0db743d54606 · outbound
This paper cites Network newton distributed optimization methods.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Network newton distributed optimization methods
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation 3a84a541-685a-412b-a4d0-dd901857da15 · outbound
This paper cites Gradient methods for minimizing composite functions.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Gradient methods for minimizing composite functions
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation 87fae0f0-6429-47eb-8d80-5437662b459c · outbound
This paper cites A method for unconstrained convex minimization problem with the rate of convergence o (1/k2).
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation A method for unconstrained convex minimization problem with the rate of convergence o (1/k2)
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7c918581-6a40-4ba8-a6ad-0cc5b17405f7 · outbound
This paper cites Lectures on convex optimization , volume 137.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Lectures on convex optimization , volume 137
Reference 31
- Resolution
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Observation 3677e9bf-1c6d-4879-b32c-1c420f913b9d · outbound
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On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Stochastic ISTA/FISTA Adaptive Step Search Algorithms for Convex Composite Optimization
Reference 32
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 280ebcfc-e85c-4036-b722-96a1d56c7574 · outbound
This paper cites Fast Unconstrained Optimization via Hessian Averaging and Adaptive Gradient Sampling Methods.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Fast Unconstrained Optimization via Hessian Averaging and Adaptive Gradient Sampling Methods
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation f9389878-b2f9-4842-9021-8e95bbfd231c · outbound
This paper cites Proxsarah: An efficient algorithmic framework for stochastic composite nonconvex optimization.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Proxsarah: An efficient algorithmic framework for stochastic composite nonconvex optimization
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 829f6a09-138f-4e53-a84f-f7f287a3783e · outbound
This paper cites Scaled, inexact, and adaptive generalized fista for strongly convex optimization.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Scaled, inexact, and adaptive generalized fista for strongly convex optimization
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f8376bfb-19d1-47a6-b940-d994716254b7 · outbound
This paper cites Fast first-order methods for composite con- vex optimization with backtracking.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Fast first-order methods for composite con- vex optimization with backtracking
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:12:11.044462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0f4141f6-7655-417f-96a7-71f5e37c2419 · outbound
This paper cites Convergence rates of inexact proximal- gradient methods for convex optimization.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Convergence rates of inexact proximal- gradient methods for convex optimization
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:12:10.884503Z
Source-reported events for the cited work
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Observation 885336c7-c77b-41be-988b-c94c68a82cd7 · outbound
This paper cites Practical bayesian optimization of machine learning algorithms.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Practical bayesian optimization of machine learning algorithms
Reference 38
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Source-reported events for the cited work
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Observation 9259dce0-ec2f-4e5d-b44f-55c64a6943be · outbound
This paper cites Convergence rates of accelerated proximal gradient algorithms under independent noise.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Convergence rates of accelerated proximal gradient algorithms under independent noise
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:12:10.605068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3a6eccf2-2a75-4911-9f74-d653228ed81a · outbound
This paper cites Conditional convergence of infinite products.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Conditional convergence of infinite products
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:12:10.429418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cbd4589e-6f75-4e67-adb0-302b575e005d · outbound
This paper cites Computational methods for sparse solution of linear inverse problems.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Computational methods for sparse solution of linear inverse problems
Reference 41
- Resolution
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Source-reported events for the cited work
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Observation bd906b24-1ef9-49c5-bbde-29b3a79159c1 · outbound
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On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Unresolved cited work
Reference 42
- Resolution
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- raw_fallback, observed 2026-08-06T16:12:10.276600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4274457e-67e6-45bd-a73d-2e95a56e3f47 · outbound
This paper cites Constrained and com- posite optimization via adaptive sampling methods.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Constrained and com- posite optimization via adaptive sampling methods
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:12:10.038096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2aa7faa2-60a2-4783-8f8e-8454faac1bb2 · outbound
This paper cites Private Zeroth-Order Nonsmooth Nonconvex Optimization.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Private Zeroth-Order Nonsmooth Nonconvex Optimization
Reference 44
- Resolution
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Observation 774b13c2-8afd-4a07-a0c3-4dfc706cb9ed · outbound
This paper cites an unresolved cited work.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Unresolved cited work
Reference 45
- Resolution
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- raw_fallback, observed 2026-08-06T16:12:09.741778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 368b5e01-d52d-4739-a5ff-989efab808e6 · outbound
This paper cites Determin- istic.
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation Determin- istic
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:12:09.522303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.