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Paper Citation Record · LEDGER

Proximal Iteration for Nonlinear Adaptive Lasso

As of 21 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2412.05726.

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

pith.paper-citation-record.v1
2412.05726 v1

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:33:48.356510Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

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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

85 of 85 outbound references displayed

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  • verified fuzzy51
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 111621fd-8b3c-466c-a103-0960f0f114bd · outbound

This paper cites Bayesian inference for spatio-temporal spike-and-slab priors.

Proximal Iteration for Nonlinear Adaptive Lasso Bayesian inference for spatio-temporal spike-and-slab priors

Reference 1

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Source-reported events for the cited work

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Observation 65172441-deab-4415-ad9b-08ef8283b686 · outbound

This paper cites Gravity with gravitas: A solution to the border puzzle.

Proximal Iteration for Nonlinear Adaptive Lasso Gravity with gravitas: A solution to the border puzzle

Reference 2

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Source-reported events for the cited work

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Observation b6efb229-3037-479e-8edc-6cdb6dbf5652 · outbound

This paper cites Structured sparsity through convex optimization.

Proximal Iteration for Nonlinear Adaptive Lasso Structured sparsity through convex optimization

Reference 3

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Observation a3440eb8-f806-4a1b-972a-ea9ef3b65020 · outbound

This paper cites Optimization with sparsity-inducing penalties.

Proximal Iteration for Nonlinear Adaptive Lasso Optimization with sparsity-inducing penalties

Reference 4

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Source-reported events for the cited work

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Observation 043defe3-1fa8-4eb1-97cd-5bc833aa8701 · outbound

This paper cites Adaptive regression and model selection in data mining problems.

Proximal Iteration for Nonlinear Adaptive Lasso Adaptive regression and model selection in data mining problems

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c886d2ab-b7a9-4c07-88fd-0c727a8b307a · outbound

This paper cites Model-based compressive sensing.

Proximal Iteration for Nonlinear Adaptive Lasso Model-based compressive sensing

Reference 6

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Source-reported events for the cited work

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Observation 10956b9f-0b40-4592-bc5f-d2da113a28cc · outbound

This paper cites Convex Analysis and Monotone Operator Theory in Hilbert Spaces.

Proximal Iteration for Nonlinear Adaptive Lasso Convex Analysis and Monotone Operator Theory in Hilbert Spaces

Reference 7

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Source-reported events for the cited work

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Observation 6147bc9f-32b7-49bb-8706-49d5e1334381 · outbound

This paper cites Lasso meets horseshoe: A survey.

Proximal Iteration for Nonlinear Adaptive Lasso Lasso meets horseshoe: A survey

Reference 8

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Observation d2c58578-617f-4370-8d8e-72e11ea9fc41 · outbound

This paper cites Bayesian shrinkage.

Proximal Iteration for Nonlinear Adaptive Lasso Bayesian shrinkage

Reference 9

Resolution
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Source-reported events for the cited work

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Observation 8f8fc589-4f4f-4d13-930b-b3abb27ddceb · outbound

This paper cites JAX : composable transformations of P ython+ N um P y programs, 2018.

Proximal Iteration for Nonlinear Adaptive Lasso JAX : composable transformations of P ython+ N um P y programs, 2018

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1476a919-8da1-4060-8a78-f68bb8756ecf · outbound

This paper cites Discussion: One-step sparse estimates in nonconcave penalized likelihood models.

Proximal Iteration for Nonlinear Adaptive Lasso Discussion: One-step sparse estimates in nonconcave penalized likelihood models

Reference 11

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verified exact
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Source-reported events for the cited work

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Observation 288aadd7-ff46-433b-8159-22563c28d2b9 · outbound

This paper cites Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information.

Proximal Iteration for Nonlinear Adaptive Lasso Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information

Reference 12

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Source-reported events for the cited work

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Observation 70dcb5ba-4282-4247-be77-464152ac58f4 · outbound

This paper cites Enhancing sparsity by reweighted _1 minimization.

Proximal Iteration for Nonlinear Adaptive Lasso Enhancing sparsity by reweighted _1 minimization

Reference 13

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Source-reported events for the cited work

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

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Observation 8b0616af-0174-4097-8963-cf842cc7a7af · outbound

This paper cites Carvalho, Nicholas G.

Proximal Iteration for Nonlinear Adaptive Lasso Carvalho, Nicholas G

Reference 14

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Observation 46eae6cd-608b-4a28-adb3-de8163b46c89 · outbound

This paper cites Some statistical models for limited dependent variables with application to the demand for durable goods.

Proximal Iteration for Nonlinear Adaptive Lasso Some statistical models for limited dependent variables with application to the demand for durable goods

Reference 15

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Source-reported events for the cited work

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Observation cfe843c6-27ca-4e88-a0e6-e951a3cd9091 · outbound

This paper cites TensorFlow Distributions.

Proximal Iteration for Nonlinear Adaptive Lasso TensorFlow Distributions

Reference 16

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Source-reported events for the cited work

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Observation 06bfc294-c199-4ebc-88cb-9845c0d15184 · outbound

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Proximal Iteration for Nonlinear Adaptive Lasso Unresolved cited work

Reference 17

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Observation 4e085a9b-709f-43fc-8004-1f22a26ba752 · outbound

This paper cites Boltzmann machine and mean-field approximation for structured sparse decompositions.

Proximal Iteration for Nonlinear Adaptive Lasso Boltzmann machine and mean-field approximation for structured sparse decompositions

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 6ba2ab9f-b2e9-48e0-81b4-17acd7057596 · outbound

This paper cites On the deep active-subspace method.

Proximal Iteration for Nonlinear Adaptive Lasso On the deep active-subspace method

Reference 19

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Source-reported events for the cited work

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Observation 868b3983-d13d-40b3-8c75-ba796f31ed12 · outbound

This paper cites Least angle regression.

Proximal Iteration for Nonlinear Adaptive Lasso Least angle regression

Reference 20

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Source-reported events for the cited work

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Observation 2348e246-a5d5-4f5f-a00c-69de4b2e313c · outbound

This paper cites Variable selection via nonconcave penalized likelihood and its oracle properties.

Proximal Iteration for Nonlinear Adaptive Lasso Variable selection via nonconcave penalized likelihood and its oracle properties

Reference 21

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Observation f8ab21b7-2498-4fd1-bd97-5cb489b99aeb · outbound

This paper cites Regularization paths for generalized linear models via coordinate descent.

Proximal Iteration for Nonlinear Adaptive Lasso Regularization paths for generalized linear models via coordinate descent

Reference 22

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Source-reported events for the cited work

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Observation dc222957-276a-4e96-8f35-48c64152adfa · outbound

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Proximal Iteration for Nonlinear Adaptive Lasso Regularization paths for generalized linear models via coordinate descent

Reference 23

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Observation 5f8e5323-93c6-4c9f-866f-8428cdeda83b · outbound

This paper cites Near-optimal sparse fourier representations via sampling.

Proximal Iteration for Nonlinear Adaptive Lasso Near-optimal sparse fourier representations via sampling

Reference 24

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Source-reported events for the cited work

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Observation 1d4f072f-c12b-49c3-b497-164e0cb41cee · outbound

This paper cites MLGL : an R package implementing correlated variable selection by hierarchical clustering and group-lasso.

Proximal Iteration for Nonlinear Adaptive Lasso MLGL : an R package implementing correlated variable selection by hierarchical clustering and group-lasso

Reference 25

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verified fuzzy
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Source-reported events for the cited work

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Observation 43e3398a-2824-4a11-bd02-a2eb47f98bed · outbound

This paper cites Feature selection based on structured sparsity: A comprehensive study.

Proximal Iteration for Nonlinear Adaptive Lasso Feature selection based on structured sparsity: A comprehensive study

Reference 26

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Observation 7ff7fe7d-e297-4d19-bbb7-4fc571cdd4be · outbound

This paper cites Computing proximal points of nonconvex functions.

Proximal Iteration for Nonlinear Adaptive Lasso Computing proximal points of nonconvex functions

Reference 27

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Observation 6c15ed6d-4abd-4b22-b096-36dd0ba75622 · outbound

This paper cites A Bayesian Lasso based Sparse Learning Model.

Proximal Iteration for Nonlinear Adaptive Lasso A Bayesian Lasso based Sparse Learning Model

Reference 28

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Source-reported events for the cited work

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Observation 7668aaae-7976-4f1e-8a17-6618a54b1fa7 · outbound

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Proximal Iteration for Nonlinear Adaptive Lasso Ridge regression: Biased estimation for nonorthogonal problems

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3ee88b09-c55a-41d1-a7d1-9b192c0118cb · outbound

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Proximal Iteration for Nonlinear Adaptive Lasso Learning with structured sparsity

Reference 30

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Source-reported events for the cited work

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

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Observation 365bdbaa-eebd-4ffb-9c7c-2564ba42af45 · outbound

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Proximal Iteration for Nonlinear Adaptive Lasso Hunter and Runze Li

Reference 31

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Source-reported events for the cited work

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Observation 997509e0-ba64-4472-b043-2788070fc5cc · outbound

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Proximal Iteration for Nonlinear Adaptive Lasso Fast sparse group L asso

Reference 32

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Source-reported events for the cited work

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Observation 7fe81432-a77b-4f3d-9698-c9e2fd0826a6 · outbound

This paper cites Group lasso with overlap and graph lasso.

Proximal Iteration for Nonlinear Adaptive Lasso Group lasso with overlap and graph lasso

Reference 33

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 984c8d44-df18-482e-9f60-1614dcd7d956 · outbound

This paper cites Structured variable selection with sparsity-inducing norms.

Proximal Iteration for Nonlinear Adaptive Lasso Structured variable selection with sparsity-inducing norms

Reference 34

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Source-reported events for the cited work

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

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Observation 952530d9-208b-41e1-aee8-fbbc074a7b9e · outbound

This paper cites Proximal methods for hierarchical sparse coding.

Proximal Iteration for Nonlinear Adaptive Lasso Proximal methods for hierarchical sparse coding

Reference 35

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Source-reported events for the cited work

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

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Observation cf2d0b89-1156-48cc-aa51-1ff2bf212bfb · outbound

This paper cites Accelerating stochastic gradient descent using predictive variance reduction.

Proximal Iteration for Nonlinear Adaptive Lasso Accelerating stochastic gradient descent using predictive variance reduction

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5be62071-da5a-43be-9641-e01efca0e5a8 · outbound

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Proximal Iteration for Nonlinear Adaptive Lasso Self-adaptive lasso and its B ayesian estimation

Reference 37

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.159274Z digest=sha256:bc3c179702b780711c08d6db0dbf3ca90a9c42ef20d8a6fbf43f2cfe3609ae2b

Observation e5d47034-4be0-49d6-8a59-7236d1fdab7c · outbound

This paper cites Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eqtl mapping.

Proximal Iteration for Nonlinear Adaptive Lasso Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eqtl mapping

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.290190Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.163227Z digest=sha256:4ee78a7d5fab8e68993c584998466dbdbe84e503c6ffc993c18198a73e49dd5f

Observation 0e553afc-1902-4a45-92bb-2e27c1a06fb6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Proximal Iteration for Nonlinear Adaptive Lasso Adam: A Method for Stochastic Optimization

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:48.167586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:33:48.167586Z digest=sha256:6f98b07073b173605885cd132e141982145f2abd3e1166b4105d8ccdfd52c173

Observation 5b8c0f4f-ca66-46ba-a48d-bcb67c3be6ff · outbound

This paper cites Bayesian adaptive lasso.

Proximal Iteration for Nonlinear Adaptive Lasso Bayesian adaptive lasso

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.279167Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.173054Z digest=sha256:22070b2861cb5252717d838371272ee1fae1ce93e58459bae55b9b1e40d2bbe4

Observation 73d14a97-8677-45c4-9de6-9337b1ac61ec · outbound

This paper cites Global convergence of splitting methods for nonconvex composite optimization.

Proximal Iteration for Nonlinear Adaptive Lasso Global convergence of splitting methods for nonconvex composite optimization

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.264853Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.176763Z digest=sha256:4a0b4a7c47b6dde1557a554a19a8dccf91568c920ba4df408df30d8eb6b3689f

Observation 64d2a408-bdd4-4547-9d9b-b2d564e6810d · outbound

This paper cites Sliced inverse regression for dimension reduction.

Proximal Iteration for Nonlinear Adaptive Lasso Sliced inverse regression for dimension reduction

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.251648Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.180401Z digest=sha256:c9f5261df1af406f3b34f2f3b17fdb1bc25d8e7a307f10675728d6515c3c02b8

Observation 408e70c5-8f77-4cbf-94dd-742eeb2c6c8f · outbound

This paper cites A simple sampler for the horseshoe estimator.

Proximal Iteration for Nonlinear Adaptive Lasso A simple sampler for the horseshoe estimator

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.237715Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.184452Z digest=sha256:07ca63cc1d9e9eb571e8850ad5a504e6cdca8d2befbc93a10f99f40fce8f838f

Observation 50198f04-f89c-4602-8977-a3ba00326045 · outbound

This paper cites A new B ayesian lasso.

Proximal Iteration for Nonlinear Adaptive Lasso A new B ayesian lasso

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.222175Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.188332Z digest=sha256:3b1464cf3d4d33ceffa0cdfea410ded4220a76bfde4f29dc7f51d8fc2df96ca6

Observation 771594f1-9a71-4047-a2b7-71782cf6687d · outbound

This paper cites On exact _q denoising.

Proximal Iteration for Nonlinear Adaptive Lasso On exact _q denoising

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.207517Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.192152Z digest=sha256:2daa12f925dd2ccfad027bd09f27a7f5dcb9ec16c84ab8e432740ca417892d6f

Observation d1628d89-69a1-42c3-9beb-d01ff8d937d2 · outbound

This paper cites Notes on cepii’s distances measures: The geodist database.

Proximal Iteration for Nonlinear Adaptive Lasso Notes on cepii’s distances measures: The geodist database

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.193790Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.197567Z digest=sha256:13ac0d36569c6225e19106ce6bfa86cf2a04edf0dd7859f371793b7abeaecd16

Observation 172a3b94-4fbc-4cb7-a27b-ef00dea650a2 · outbound

This paper cites Relaxed lasso.

Proximal Iteration for Nonlinear Adaptive Lasso Relaxed lasso

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:48.202324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:33:48.202324Z digest=sha256:3b9ad5cc452cbc61692884003957804a1c77560794e816b9fa012e1322f6d464

Observation 4b97ad3d-63a4-454b-9fa1-f5bc49a4aaf5 · outbound

This paper cites an unresolved cited work.

Proximal Iteration for Nonlinear Adaptive Lasso Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:48.205991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:33:48.205991Z digest=sha256:5a292f266c6a594509968e41316cbf6775ad19ac1dd9678dcd306417884e0686

Observation 40d3ac9d-2d34-4b33-9954-0c6d7464409c · outbound

This paper cites Solving structured sparsity regularization with proximal methods.

Proximal Iteration for Nonlinear Adaptive Lasso Solving structured sparsity regularization with proximal methods

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.171082Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.211174Z digest=sha256:6ee3478ca91450558c9fb910449bb2e9539d1e14ba9b82210ae5a4e7d472c71d

Observation 9c3a78a2-b75c-4771-a40f-3db177640312 · outbound

This paper cites Convex Relaxation for Combinatorial Penalties.

Proximal Iteration for Nonlinear Adaptive Lasso Convex Relaxation for Combinatorial Penalties

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:33:48.624875Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.216330Z digest=sha256:38fb00cab3407274e953c9bb5cec70038c25daae63b2b4b54a963f1b716f789a

Observation c32d27ea-063e-45f3-a440-6d49bbc63a5b · outbound

This paper cites Group Lasso with Overlaps: the Latent Group Lasso approach.

Proximal Iteration for Nonlinear Adaptive Lasso Group Lasso with Overlaps: the Latent Group Lasso approach

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:48.220344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:33:48.220344Z digest=sha256:acb29f9e784480de20028c5e13f7e63d491368623b8864c50eb7e53ec82f84d1

Observation 4d4a61a6-f228-4315-b258-2daa523f0628 · outbound

This paper cites Segmentation of ARX -models using sum-of-norms regularization.

Proximal Iteration for Nonlinear Adaptive Lasso Segmentation of ARX -models using sum-of-norms regularization

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.158077Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.225035Z digest=sha256:17b253c329ad50c9b7d0991aaca9c8ac81850622fabb766ec182748f0c12ea92

Observation 99d45f2a-5e02-4f81-8440-92f30612bc9f · outbound

This paper cites Proximal algorithms.

Proximal Iteration for Nonlinear Adaptive Lasso Proximal algorithms

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.147181Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.228328Z digest=sha256:64b4850a2757814954063b8a1561d3136d3acd3fa56db4e8a83ae75fe1676e1c

Observation 0ec643c6-a0a9-47a8-b5d6-94d77c315872 · outbound

This paper cites The B ayesian lasso.

Proximal Iteration for Nonlinear Adaptive Lasso The B ayesian lasso

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:48.233130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:33:48.233130Z digest=sha256:db7fb9c7b619816754ce8574fb5633b9013157df593142adf521d21c8d9dcd79

Observation 5f9b5906-7d35-401d-926b-8260dd336df9 · outbound

This paper cites Proximal algorithms in statistics and machine learning.

Proximal Iteration for Nonlinear Adaptive Lasso Proximal algorithms in statistics and machine learning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.136863Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.238481Z digest=sha256:accca1e88df6cb493c67698180238970172527141a51e32e510e9e04ffe04602

Observation 4df69c01-296b-421e-9f23-6186e99558d0 · outbound

This paper cites Generalized approximate message passing for estimation with random linear mixing.

Proximal Iteration for Nonlinear Adaptive Lasso Generalized approximate message passing for estimation with random linear mixing

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:48.241874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:33:48.241874Z digest=sha256:1c18a7762de98eae6e7e0543936ebc4e16a693cfbca4c323a27da36d00e97099

Observation a4616724-15d7-414e-866c-9541bc8904d7 · outbound

This paper cites Convergence of Stochastic Proximal Gradient Algorithm.

Proximal Iteration for Nonlinear Adaptive Lasso Convergence of Stochastic Proximal Gradient Algorithm

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:48.246519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:33:48.246519Z digest=sha256:ed6e85cec71861ac106702ef959753d56ffdd7c5de855f2e605c61d617d4bf7a

Observation fb0619a8-700f-4c95-997a-be61a27d17dc · outbound

This paper cites Nonlinear sparse B ayesian learning for physics-based models.

Proximal Iteration for Nonlinear Adaptive Lasso Nonlinear sparse B ayesian learning for physics-based models

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.119603Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.251494Z digest=sha256:8f2bb950cf4dfe070d069326a5e4214d3205ff0f9dd5be1d6092135db0d2957c

Observation ea89134d-6fc8-4dd6-9110-140d3b762a56 · outbound

This paper cites Turbo reconstruction of structured sparse signals.

Proximal Iteration for Nonlinear Adaptive Lasso Turbo reconstruction of structured sparse signals

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.108361Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.258137Z digest=sha256:91b663d6d65d8cbb7ff2c9b626eb92d9f34f42962f2b644bb1876761b745773c

Observation f8233ed1-912c-47f8-ae0b-83e587796757 · outbound

This paper cites statsmodels: Econometric and statistical modeling with python.

Proximal Iteration for Nonlinear Adaptive Lasso statsmodels: Econometric and statistical modeling with python

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:48.263030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:33:48.263030Z digest=sha256:ab2cd633aa2eb5205d95742fd2dfe28abfd6d0e369cb6cb0aa612dcfaa079e6d

Observation dea806f1-714e-4af0-a454-f5c198c4d616 · outbound

This paper cites Towards closing the gap between the theory and practice of svrg.

Proximal Iteration for Nonlinear Adaptive Lasso Towards closing the gap between the theory and practice of svrg

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.088473Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.267285Z digest=sha256:57c9162c49499596a7dd69a1064608fa946fc7ec353e08ab2371353d0696d662

Observation 5e62640e-f326-4cd9-b2a1-d7a321160583 · outbound

This paper cites Learning the structure for structured sparsity.

Proximal Iteration for Nonlinear Adaptive Lasso Learning the structure for structured sparsity

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.075187Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.272108Z digest=sha256:a1a29da9e499f86b5b2705d4be5c4f9363eb9c5e0f4b5d7d31332b746115986b

Observation 4904010b-d81f-4a3e-a200-23f9478c42b0 · outbound

This paper cites The log of gravity.

Proximal Iteration for Nonlinear Adaptive Lasso The log of gravity

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.063299Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.275991Z digest=sha256:4ece019156badf9ce37711b72537bb53194e7810ddd904f5bd06d413b32bf712

Observation f2442c31-e0db-428f-8aae-925f074b2eac · outbound

This paper cites A sparse-group lasso.

Proximal Iteration for Nonlinear Adaptive Lasso A sparse-group lasso

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:48.279594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:33:48.279594Z digest=sha256:604c5b941d1da67ada60a3896e04014255493703ee940697f03b07759f5e2a1e

Observation 6d17b7cd-519e-40d4-b418-4fd94fb447ee · outbound

This paper cites Understanding the rationales and information environments for early, late, and nonadopters of the covid-19 vaccine.

Proximal Iteration for Nonlinear Adaptive Lasso Understanding the rationales and information environments for early, late, and nonadopters of the covid-19 vaccine

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.046833Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.284235Z digest=sha256:b336fcae0c6c30fb407039e42e08b6cae5a6c54cef517bcbb6b1e19200445544

Observation ee57041f-67d3-422b-9868-e4754af6c7a2 · outbound

This paper cites Feature selection guided by structural information.

Proximal Iteration for Nonlinear Adaptive Lasso Feature selection guided by structural information

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.035354Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.288185Z digest=sha256:906c15adece8504b793c08edbdd7db143cb548188340ddd005ecaeec0f76aa62

Observation 46ce2566-8514-4739-a7fa-b4d43fe615c3 · outbound

This paper cites Deconvolution with the _1 norm.

Proximal Iteration for Nonlinear Adaptive Lasso Deconvolution with the _1 norm

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.020921Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.292028Z digest=sha256:5aaaa0c33d5112091dd59bbf496444fa3d2e76243f452c70ad2f71e547b0d13f

Observation 51021bc1-1770-4b33-8a8c-e1e21267166f · outbound

This paper cites GPU -accelerated G ibbs sampling: a case study of the horseshoe probit model.

Proximal Iteration for Nonlinear Adaptive Lasso GPU -accelerated G ibbs sampling: a case study of the horseshoe probit model

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:49.009051Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.297797Z digest=sha256:ee5a0c8945a43df6d9d65c1040e176c5d4b90ef11d8a5a5b5eafdf483ad906ef

Observation 37f85609-e952-47f3-b55f-8dfe3882350b · outbound

This paper cites Regression shrinkage and selection via the lasso.

Proximal Iteration for Nonlinear Adaptive Lasso Regression shrinkage and selection via the lasso

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:48.301445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:33:48.301445Z digest=sha256:8a16331c5d50ea2e8e6baa39e03e6c909fd4b515fbfe9db61882d546290f2322

Observation ff638405-f323-4bed-a0e8-29da45022fa6 · outbound

This paper cites Sparsity and smoothness via the fused lasso.

Proximal Iteration for Nonlinear Adaptive Lasso Sparsity and smoothness via the fused lasso

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:48.997732Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.305113Z digest=sha256:250a74f36f75a012434ab63d340daed256a2544f514ddf46fb31cdb630ba5590

Observation 879ef459-06cf-487d-846d-8bb0adc01922 · outbound

This paper cites Strong rules for discarding predictors in lasso-type problems.

Proximal Iteration for Nonlinear Adaptive Lasso Strong rules for discarding predictors in lasso-type problems

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:48.986309Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.308464Z digest=sha256:ba43775b5f5e1f904da4ed47240df51ed86b2b69117ad925dd33f4bf3e2ad68b

Observation 18dab2dc-d25a-4f49-a7b8-931b413a9918 · outbound

This paper cites Tinbergen.

Proximal Iteration for Nonlinear Adaptive Lasso Tinbergen

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:48.974124Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.312107Z digest=sha256:b991c79174fb21bfd4bdfd14996adcce81f5a9c34b2c3a5cb38e778d149abc0c

Observation 72682a58-1b7c-4dde-87e0-551e8c4e8dbe · outbound

This paper cites Sparse B ayesian learning and the relevance vector machine.

Proximal Iteration for Nonlinear Adaptive Lasso Sparse B ayesian learning and the relevance vector machine

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:48.948775Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.315372Z digest=sha256:04b2d48b52663166196b063cc47758b0d40671eb61366a818093dca71df55328

Observation f8ab26a2-e9ca-4cea-957f-d4017fba8b5e · outbound

This paper cites Deep active subspaces: A scalable method for high-dimensional uncertainty propagation.

Proximal Iteration for Nonlinear Adaptive Lasso Deep active subspaces: A scalable method for high-dimensional uncertainty propagation

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:48.938130Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.318514Z digest=sha256:56d28ebd10a2db299f0af2b616ac4c1059dbc78421f3678a99f4e51d859af8d0

Observation 3b837670-69d0-4c9c-b3c1-6c3c28927b22 · outbound

This paper cites Experiments: planning, analysis, and optimization.

Proximal Iteration for Nonlinear Adaptive Lasso Experiments: planning, analysis, and optimization

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:48.927991Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-11T20:33:48.322187Z digest=sha256:b706a15dcf0853fd6f5d1b80cd1f447b73d3ac6305520063f02af390ab4810b5

Observation 31851076-255f-4cab-b64f-da4d1365ceec · outbound

This paper cites A proximal stochastic gradient method with progressive variance reduction.

Proximal Iteration for Nonlinear Adaptive Lasso A proximal stochastic gradient method with progressive variance reduction

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:48.915539Z

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source=arxiv_source observed=2026-08-11T20:33:48.326067Z digest=sha256:bcf1bd71658dd672574faa1187a7b3fb9cde08bae71ff2f2b49362b6be49c245

Observation 1c259cc2-818f-4e6e-a8f1-3cca4dd4d3d9 · outbound

This paper cites Efficient methods for overlapping group lasso.

Proximal Iteration for Nonlinear Adaptive Lasso Efficient methods for overlapping group lasso

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:48.903222Z

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source=arxiv_source observed=2026-08-11T20:33:48.329709Z digest=sha256:5188ed19662ed433859877cb0dc2675506cd4b9099e165b1f7a26a0a340a0db2

Observation 1588da60-efbe-4e7d-93c6-857bb23e967b · outbound

This paper cites Model selection and estimation in regression with grouped variables.

Proximal Iteration for Nonlinear Adaptive Lasso Model selection and estimation in regression with grouped variables

Reference 78

Resolution
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no resolver link, observed 2026-08-11T20:33:48.333455Z

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source=arxiv_source observed=2026-08-11T20:33:48.333455Z digest=sha256:1325bd13c6e84d39239ddfc01c6c78e5611889059bbacd39cded3fcbec882ff7

Observation 7fcfcc49-42da-4f41-86f7-da9a757c1649 · outbound

This paper cites Nearly unbiased variable selection under minimax concave penalty.

Proximal Iteration for Nonlinear Adaptive Lasso Nearly unbiased variable selection under minimax concave penalty

Reference 79

Resolution
unresolved
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source=arxiv_source observed=2026-08-11T20:33:48.336515Z digest=sha256:cbc8b62c4eaac16866dab40c7aaab5233158b394462e8d790419e2879392dd82

Observation d63f78d6-80c1-4783-8e3c-d1e7a6b1748c · outbound

This paper cites Bayesian group factor analysis with structured sparsity.

Proximal Iteration for Nonlinear Adaptive Lasso Bayesian group factor analysis with structured sparsity

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:48.883665Z

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source=arxiv_source observed=2026-08-11T20:33:48.339543Z digest=sha256:a582b0ba473e3b42f0dc997b62630fe618520a56a599b34d6f06bf4622cd0fb0

Observation 677d15d4-f091-4f71-9dd8-2e9ec1a18ca9 · outbound

This paper cites Modeling disease progression via fused sparse group lasso.

Proximal Iteration for Nonlinear Adaptive Lasso Modeling disease progression via fused sparse group lasso

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:48.871597Z

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source=arxiv_source observed=2026-08-11T20:33:48.342324Z digest=sha256:9e426adf54d17c3d121dc1b0952acf0afc3183ad434dd89ef8440fd18d23cb16

Observation 4ea21349-56d3-4d5e-b534-436c64d03d27 · outbound

This paper cites A generalized framework for learning and recovery of structured sparse signals.

Proximal Iteration for Nonlinear Adaptive Lasso A generalized framework for learning and recovery of structured sparse signals

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:33:48.859496Z

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

source=arxiv_source observed=2026-08-11T20:33:48.345145Z digest=sha256:003e2832c1292789772985ecd7310055fb853f6d45e3b7effb9cae47876cbb0e

Observation 5e82a26e-759f-4a41-8ec4-9c49be7ff804 · outbound

This paper cites The adaptive lasso and its oracle properties.

Proximal Iteration for Nonlinear Adaptive Lasso The adaptive lasso and its oracle properties

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:48.348298Z

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source=arxiv_source observed=2026-08-11T20:33:48.348298Z digest=sha256:8124484cb05e567d1a3bba7b004d4b811179ed30d7df3504c4d52d6992c6b471

Observation c69d1d90-58ff-4bf2-a41e-48718668983f · outbound

This paper cites One-step sparse estimates in nonconcave penalized likelihood models.

Proximal Iteration for Nonlinear Adaptive Lasso One-step sparse estimates in nonconcave penalized likelihood models

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:48.352086Z

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source=arxiv_source observed=2026-08-11T20:33:48.352086Z digest=sha256:2f436688939cef59d0a68fa33b5833865b5a1c3ee75522b844c48ffdc6f6187f

Observation 1eabfcd0-caaf-451b-b14d-bd79ef22b343 · outbound

This paper cites Sparse principal component analysis.

Proximal Iteration for Nonlinear Adaptive Lasso Sparse principal component analysis

Reference 85

Resolution
unresolved
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source=arxiv_source observed=2026-08-11T20:33:48.356510Z digest=sha256:158a20e9ff9a1df619df70c0929b23b74ce493c6583f437708e22671756a1b91

Pith citing papers

No inbound Pith citation observations are available.