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Paper Citation Record · LEDGER

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees

As of 11 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2506.08558.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.08558 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:20:08.293574Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

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  • verified fuzzy46
  • unresolved12
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c21aedd-8c61-4f97-9806-b142cd4a8984 · outbound

This paper cites an unresolved cited work.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation dfd23108-f78d-4794-86c6-2cd50b394b1b · outbound

This paper cites On the Convergence of SGD with Biased Gradients.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees On the Convergence of SGD with Biased Gradients

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 33cc5986-ad72-4655-a72e-bfe21fec15ab · outbound

This paper cites an unresolved cited work.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5bbb1c19-c78f-470e-8ee3-9fad3e4337ab · outbound

This paper cites and Sviridenko, M.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Sviridenko, M

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:07.927376Z digest=sha256:70546aa192d6f7fb6ae5db80d9109c74a890523f14ebb107e32ddf599e3aa546

Observation a07736be-708b-4c53-9940-af0cea4ee689 · outbound

This paper cites and Sviridenko, M.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Sviridenko, M

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0e5f26ba-f245-4331-8243-7d5deedea7f7 · outbound

This paper cites and Ghadimi, S.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Ghadimi, S

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d5791b3f-c220-416d-92e9-ef36856988ec · outbound

This paper cites H., Bolte, J., and Teboulle, M.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees H., Bolte, J., and Teboulle, M

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 04721ccd-9b15-4a08-8669-ed2c3b9cfcb1 · outbound

This paper cites H., Bolte, J., Chen, J., Teboulle, M., and Wang, X.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees H., Bolte, J., Chen, J., Teboulle, M., and Wang, X

Reference 8

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Source-reported events for the cited work

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Observation a49aeef4-ef73-483e-a165-c2e742a12fba · outbound

This paper cites and Hallak, N.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Hallak, N

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0ba443a4-4d1d-4abc-8cf9-9ee880b13f8e · outbound

This paper cites S., Cao, L., Choromanski, K., and Scheinberg, K.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees S., Cao, L., Choromanski, K., and Scheinberg, K

Reference 10

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Source-reported events for the cited work

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Observation c66b4f0d-bbe1-4c11-a621-024c54a3fb50 · outbound

This paper cites Multinomial logistic regression algorithm.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Multinomial logistic regression algorithm

Reference 11

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Source-reported events for the cited work

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Observation 32b39f6d-2db2-4e7d-9c19-47321f20ebeb · outbound

This paper cites Proximal alternating linearized minimization for nonconvex and nonsmooth problems.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Proximal alternating linearized minimization for nonconvex and nonsmooth problems

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e35a98cd-0879-496b-a33a-e57a8ea00036 · outbound

This paper cites I., Csetnek, E.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees I., Csetnek, E

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4f47c340-9d4f-4226-81b1-f4a19cf0356d · outbound

This paper cites Sparse and stable markowitz portfolios.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Sparse and stable markowitz portfolios

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:07.981786Z digest=sha256:8d68271b9a1e7e93e7d0890e0c23df4809cbbf3abfc457268a4bf2dd8d837207

Observation 89c6993c-d8c0-4926-a127-835ab26d7402 · outbound

This paper cites an unresolved cited work.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c04a3d6c-2613-4182-af01-6a41d33ad9e5 · outbound

This paper cites A zeroth-order block coordinate descent algorithm for huge-scale black-box optimization.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees A zeroth-order block coordinate descent algorithm for huge-scale black-box optimization

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 31e82235-f483-46d0-a5c7-06b983c278db · outbound

This paper cites Zeroth-order regularized optimization (zoro): Approximately sparse gradients and adaptive sampling.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Zeroth-order regularized optimization (zoro): Approximately sparse gradients and adaptive sampling

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b1e92300-1991-437f-ae45-fdeed084d2f3 · outbound

This paper cites and Lin, C.-J.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Lin, C.-J

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c4c150a0-092c-4fe5-8d1b-df9570fb39aa · outbound

This paper cites Gradient Properties of Hard Thresholding Operator.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Gradient Properties of Hard Thresholding Operator

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2701a8aa-cea1-49b5-b3ca-1a6d24fdccc2 · outbound

This paper cites An interior proximal gradient method for nonconvex optimization.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees An interior proximal gradient method for nonconvex optimization

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 23b228bc-5677-4e3f-990b-00eb7f568f05 · outbound

This paper cites Zeroth-order hard-thresholding: Gradient error vs.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Zeroth-order hard-thresholding: Gradient error vs

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.022751Z digest=sha256:14516037f31c28e26e0a89cf3a46787c72f276acee3c8bde8190531b442b0a83

Observation d66e1c30-a2f3-41d3-8493-84cf0b885858 · outbound

This paper cites J., and Uppal, R.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees J., and Uppal, R

Reference 22

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2036b096-ac19-4f6d-ba0d-9d39c68a3ad6 · outbound

This paper cites and Rauhut, H.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Rauhut, H

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation aafacb93-9eb7-428f-b489-38df62440098 · outbound

This paper cites and Ha, W.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Ha, W

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e290c45e-7056-4117-bb68-83ee673b10cb · outbound

This paper cites Splitting methods with variable metric for kurdyka ojasiewicz functions and general convergence rates.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Splitting methods with variable metric for kurdyka ojasiewicz functions and general convergence rates

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation dcdcfb3b-95f5-48b2-8f80-8ab0e6b57418 · outbound

This paper cites Gradientless descent: High-dimensional zeroth-order optimization.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Gradientless descent: High-dimensional zeroth-order optimization

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7ded8f2d-1e85-451e-87ed-c9a1993919cc · outbound

This paper cites K., Arablouei, R., and Werner, S.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees K., Arablouei, R., and Werner, S

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d60b1f02-baa7-41b2-b063-c8aa2a30ad23 · outbound

This paper cites Inexact proximal gradient methods for non-convex and non-smooth optimization.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Inexact proximal gradient methods for non-convex and non-smooth optimization

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 358ad462-8619-4d2d-aa1e-4fdefead0b5c · outbound

This paper cites an unresolved cited work.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2ae99378-4bd9-4fe1-af85-cb8cddc7a8ec · outbound

This paper cites On iterative hard thresholding methods for high-dimensional m-estimation.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees On iterative hard thresholding methods for high-dimensional m-estimation

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 822deb38-d06e-4884-94bc-dbf76009875e · outbound

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Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Query Complexity of Derivative-Free Optimization

Reference 31

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:08.087898Z digest=sha256:02fae66346c4c52148a90818ba61d71416108b11f2d90a91697af21c246777ee

Observation 7f7cce79-c794-4df5-b084-af206780f17a · outbound

This paper cites Sparse projections onto the simplex.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Sparse projections onto the simplex

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a4ec99c3-18d0-4aed-a66f-ed7e29cb8890 · outbound

This paper cites and Lin, Z.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Lin, Z

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 046b6d65-9e73-4461-bcc5-3a033a378b0c · outbound

This paper cites Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction

Reference 34

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unresolved
no resolver link, observed 2026-08-07T05:20:08.104722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:08.104722Z digest=sha256:2fcdaec97c61e901cc300adccb0467c32efeababb9650fc5b7c61052dca2e7c6

Observation 9a707600-5194-4d3d-84d6-c38a8a86ca63 · outbound

This paper cites and Foygel Barber, R.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Foygel Barber, R

Reference 35

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raw_fallback, observed 2026-08-07T05:20:09.199391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.110458Z digest=sha256:7dd6a334292d4b5c87ae864816ed4b809c0f0ddae0be5ebe20bbf27b76ec86cc

Observation b043240d-7038-4a15-9d84-04a426899a54 · outbound

This paper cites A Dimension-Insensitive Algorithm for Stochastic Zeroth-Order Optimization.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees A Dimension-Insensitive Algorithm for Stochastic Zeroth-Order Optimization

Reference 36

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local_arxiv, observed 2026-08-07T05:20:08.516623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.119586Z digest=sha256:2f5657c68144d224b5f983809edf3c3ac709dd4bfd34cdd38e67f54dbd8adea0

Observation d09ea88f-cbdb-4d83-96c4-bd67f5e2e796 · outbound

This paper cites Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization

Reference 37

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unresolved
no resolver link, observed 2026-08-07T05:20:08.125460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:08.125460Z digest=sha256:ee80ff12032651b5de31e52c2af1aed0659e60cf2977ccb5f66a549dfac04fb4

Observation 25abb214-8b9e-4870-b4ef-f9fcae06c9aa · outbound

This paper cites O., and Varshney, P.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees O., and Varshney, P

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:09.176470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.130924Z digest=sha256:da365c1ef34000dd6dcc08148d47291b96b5c8705b3ca1e34d4c4e12c00124ad

Observation 6980e940-5ceb-4261-b1a0-67156132c7ed · outbound

This paper cites and Wainwright, M.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Wainwright, M

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:09.158047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.137067Z digest=sha256:0e48788d4bdfe5d158780d2e318822bfa554cd0d52c09da6bb0c779bbe68b96d

Observation 8830cce9-1edb-4754-9cfa-4c6635b63901 · outbound

This paper cites Optimization over Sparse Symmetric Sets via a Nonmonotone Projected Gradient Method.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Optimization over Sparse Symmetric Sets via a Nonmonotone Projected Gradient Method

Reference 40

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unresolved
no resolver link, observed 2026-08-07T05:20:08.142408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:08.142408Z digest=sha256:9cdbbc38db7b259653f7efb7eb5ccf2594fb4bb1f455a319aa0f1dbe0af33421

Observation 7d047ddc-7cf2-4006-b81a-f1a5742dc734 · outbound

This paper cites an unresolved cited work.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Unresolved cited work

Reference 41

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unresolved
raw_fallback, observed 2026-08-07T05:20:09.141636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.148670Z digest=sha256:47daf81108e0c695c8707c5ec00b11b3e45072e77b33d3a78c11806cad61d93b

Observation 8ce32611-5698-4119-90fd-3f8db5cfdea4 · outbound

This paper cites Random reshuffling: Simple analysis with vast improvements.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Random reshuffling: Simple analysis with vast improvements

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:09.124019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.154120Z digest=sha256:1ada275e715163f48841b7248fe25dd33ba946cb1746584e66e54d5c11cd5d88

Observation 7968aeb9-c125-48a0-8ab3-578df0b9456a · outbound

This paper cites J., and Ravikumar, P.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees J., and Ravikumar, P

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-07T05:20:09.106554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.161230Z digest=sha256:bc1bf7094decdacc4466c740a1db516cabc8325d2a0b0ae92fe3af1e37351d76

Observation 14d1cad6-5b5e-491d-9108-c58cb41b2206 · outbound

This paper cites Introductory lectures on convex optimization: A basic course, volume 87.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Introductory lectures on convex optimization: A basic course, volume 87

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-07T05:20:09.088887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.168236Z digest=sha256:3c6941af974229a44d7421538c0150b7a2a488130cc48bddbca4e3e3357bfbc0

Observation 5145af16-ecb2-4643-8658-dddd49fad686 · outbound

This paper cites and Spokoiny, V.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Spokoiny, V

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:09.068830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.173483Z digest=sha256:89c43be4860cf104c70619cce116924bd0931cf0ed6a0744401c6c1ebf72a6f1

Observation 3f24aa86-579a-4af6-902f-55284af0ae64 · outbound

This paper cites an unresolved cited work.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:09.047050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.179262Z digest=sha256:d0ec515d10e6def165842d8590d1586a37b03d4e8c7567dcbdb978d9487623b8

Observation f5bc737d-416a-4528-9ace-42672eef7861 · outbound

This paper cites Linear convergence of stochastic iterative greedy algorithms with sparse constraints.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Linear convergence of stochastic iterative greedy algorithms with sparse constraints

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:09.026397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.191270Z digest=sha256:14955e1ca4bdc9066c24f7e6e16b956ddde2c44c2487bd8634fa76a6b4fd42d7

Observation 813db31e-38fd-488a-80a5-747b34011092 · outbound

This paper cites Zeroth-order Random Subspace Algorithm for Non-smooth Convex Optimization.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Zeroth-order Random Subspace Algorithm for Non-smooth Convex Optimization

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:20:08.428225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.196992Z digest=sha256:58b183927b5a72b329fcbba2280a165e058cfdfdbeedbeb4f84ed5f415a06c03

Observation 07d86d28-ac17-430b-bc54-3e781a548929 · outbound

This paper cites A convergent iterative hard thresholding for nonnegative sparsity optimization.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees A convergent iterative hard thresholding for nonnegative sparsity optimization

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:09.002944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.202952Z digest=sha256:0401ac797368e1f03f07cc71dfcfe275abc8724135aeec9e8dcdeb13113b4cfc

Observation 8985c376-aae9-4887-ba77-d5d64a22f2af · outbound

This paper cites Ac/dc: Alternating compressed/decompressed training of deep neural networks.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Ac/dc: Alternating compressed/decompressed training of deep neural networks

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:08.981390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.208712Z digest=sha256:341aa79a957cb3bc0aa868f1726ff53274bfecee5370214221355a317844c0cb

Observation 30b860d6-33a0-4022-a29b-b0ce11e689c8 · outbound

This paper cites and Li, P.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Li, P

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:08.952430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.215989Z digest=sha256:11896fe10ae332a1f6cd8c0bcc16d21861390fc3c066af654e64f3e83c0b4fb1

Observation 54626963-4b6a-4282-8981-47fe1d324b0a · outbound

This paper cites Sparse Stochastic Zeroth-Order Optimization with an Application to Bandit Structured Prediction.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Sparse Stochastic Zeroth-Order Optimization with an Application to Bandit Structured Prediction

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:20:08.394541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.222150Z digest=sha256:83957bde4eff890fba1b6ad0a11605b6c80439dc51a4736e93ab9208dc7e1225

Observation e32cf2f1-0259-4564-9865-7b014e7f2eb5 · outbound

This paper cites Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:08.929557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.227559Z digest=sha256:8ac3266fa87168f683d00b832cc4fc01a145e819defca6af2c9ce9bf033a4c3f

Observation f5ec4cb8-7427-43e0-ba1b-c7690e1bca72 · outbound

This paper cites J., Jordan, M.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees J., Jordan, M

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:08.904735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.233512Z digest=sha256:aa084335042348af4f8996e8357da457668ba061507419a940d08fdd2a4786da

Observation ad39b8d6-d067-4318-8627-87c19d7e1266 · outbound

This paper cites Stochastic zeroth-order optimization in high dimensions.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Stochastic zeroth-order optimization in high dimensions

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:08.882888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.239431Z digest=sha256:32536a4ea1fce51f48c9d78250aea6fa0c7cef94d7eb4575b608e7e3b3738cdc

Observation 248ef0ed-a8fa-4d54-9815-85746cd90dcd · outbound

This paper cites Non-asymptotic analysis of stochastic methods for non-smooth non-convex regularized problems.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Non-asymptotic analysis of stochastic methods for non-smooth non-convex regularized problems

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:08.858590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.244544Z digest=sha256:50e3095f51b7664fb5d51ef199a41560f424bde4c54996af5f4ef54c56b1c90a

Observation 1f837ae0-de56-4931-9547-17227b1648f6 · outbound

This paper cites Stochastic optimization for dc functions and non-smooth non-convex regularizers with non-asymptotic convergence.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Stochastic optimization for dc functions and non-smooth non-convex regularizers with non-asymptotic convergence

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:08.838480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.249936Z digest=sha256:1d29ca39b74fe922efe5dd8d5fa7d16363c447a3f18fb572ca45e42324875c0a

Observation 32b590f8-870c-47c1-84c3-a28b655777df · outbound

This paper cites Projective Proximal Gradient Descent for A Class of Nonconvex Nonsmooth Optimization Problems: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Projective Proximal Gradient Descent for A Class of Nonconvex Nonsmooth Optimization Problems: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:20:08.357050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.256597Z digest=sha256:1d11a71a939cc22df23bba2dc10e8da7cf75a5282ef357c454068c7e8e247dc5

Observation 8280a537-813a-4103-857c-f50e95942b8b · outbound

This paper cites and Yu, J.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees and Yu, J

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:08.819173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.262861Z digest=sha256:3513cd9eef6daa4c0f971c339f82cdf5683a3bbfe206f2933fcaa8c863b8c366

Observation d7a62435-e6db-405b-a030-b4d970f4085f · outbound

This paper cites Gradient hard thresholding pursuit.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Gradient hard thresholding pursuit

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:08.801318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.269485Z digest=sha256:4da4f21f539449cfce054c03c691bfda2788b4cac0966781ad9dd3d375341c98

Observation 229a28e6-f140-4682-b0f0-6363f15d27f0 · outbound

This paper cites Zeroth-order optimization with weak dimension dependency.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Zeroth-order optimization with weak dimension dependency

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:08.775655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.274920Z digest=sha256:5aa5c0d8dc87e7d458808efedfc047ebf964bc52eb78482a4cffe0c3ac68056f

Observation 84bbadba-206b-437d-b4c0-77d854bac7b3 · outbound

This paper cites Desirable companion for vertical federated learning: New zeroth-order gradient based algorithm.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Desirable companion for vertical federated learning: New zeroth-order gradient based algorithm

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:08.749895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.281690Z digest=sha256:2f5c0790072cbcd1908db56c028d0eb6aa2b74ec672c3683e1533c4a9fd67c22

Observation 14d0337e-66a2-4899-8b85-b53943ceb51c · outbound

This paper cites Efficient stochastic gradient hard thresholding.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Efficient stochastic gradient hard thresholding

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:20:08.719013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:20:08.287311Z digest=sha256:e732151e53f6a90085e3a6442211ae6a9d6f758b00d14a86f3a2f334251acac0

Observation 2b7cdeee-dec9-4764-95da-9ffcd3412fe3 · outbound

This paper cites write newline.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees write newline

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:08.293574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:08.293574Z digest=sha256:be969556601f1c5c356082cf9f894bc72d27d8904d16d0f26131981e559f0d24

Pith citing papers

No inbound Pith citation observations are available.