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Paper Citation Record · LEDGER

Proximal Iteration for Nonlinear Adaptive Lasso

As of 16 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.

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measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

85 of 85 outbound references displayed

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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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Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

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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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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

Resolution
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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 2026-08-16T06:30:59.297886+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

Resolution
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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

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 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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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+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

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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

This paper cites Self-adaptive lasso and its B ayesian estimation.

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.159274Z digest=sha256:ffaf9adc4b2088705fbc9acfcc8af4a1a177a76915f34fc0adafa2d5a12cf163

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.163227Z digest=sha256:e856f674e020070542e8e2334b43a3970846c77cc1c640b758e4c4e17414e59a

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=sha256:1ae6d4b2ec449573646924299759313d0647b8500e50f372355bb6903e83332f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.173054Z digest=sha256:cf239346bf174ce93b11a64a3c685de34a49410fae9ec569c8d7d1188a910644

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.176763Z digest=sha256:792c5c55c43c6dfc46c8e8a7384dbd0deb752220b3e9fd85a6534697d338c44e

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.180401Z digest=sha256:061908dbcd92255130f1287d97bd5bab769258d2d1f9c32eb62b56e65464317e

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.184452Z digest=sha256:74b0a02e84ef160ab076d1a73260d862b2c98729d2a2a0529d923e9c3b0cd039

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.188332Z digest=sha256:fa9e9c722d1eba986d14873de2bc2f4b0975e2cddd114551c71d72fd488411ee

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.192152Z digest=sha256:6a9b768045107470e4452eb98df1b22b4c7a9572be74e9085212fed9c16c185c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.197567Z digest=sha256:94573ab1aafe02323ce732978db9f743a9b0ff0046ea96a8aa4cd27448858dff

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:f19b5196d68ad0eb41ef2ac34b3c2d40cc93edafb82534c486cc4e9cb016cc8d

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:e979a7be58b1452f07f15d4d326ad0269af387850f3d708b1ed235eaae6046fe

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.211174Z digest=sha256:0ac2999298eaa145e3a70a64f3d66a7cb216fb570ac834edc9e022d2d71256c2

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.216330Z digest=sha256:88395265e672579c134db1689b3f31dfe911d54c9f9dc3ec138b5628755119aa

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=sha256:6c3effbc33ca561f429d63f686d25588f7449422800fe0e3f8226d0e7ae584e9

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.225035Z digest=sha256:88598ae3314e43783b168be839b8d17b1c97e92547f8f5688dfa97a96de371d7

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.228328Z digest=sha256:d9951937786a8ab813cd78b6fd05e94de4404630f480913581daa5ae4b647f88

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=sha256:7c5c807dee390014a1374f2984c384e08fd65b0331236506ce0a1b3879217474

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.238481Z digest=sha256:0bd1483559da2865c2288a58683f80a15baa402c3f426f34c5c6762ad4ba2f49

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=sha256:80734c5a13b5e5bdee3e2ba5a908fd2417f350f11231e158baea65f964664ead

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=sha256:01c0e61ae5b86494ec639002b1388ebd8a635f5b225f2d5563114ee85db9a808

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.251494Z digest=sha256:b16ba5ec69a97f2ba77b342ab3b6796c364e6388d45b072169adfcf62e092844

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.258137Z digest=sha256:c2d8d20c7260b862b3e11bd9002da7634cb570ed0ba2b8939ac52b41ad63adc6

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:ce6a52922be3be4070631e512c3dbf46bc25e0acc1fbc6b22776cf625e71777e

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.267285Z digest=sha256:a324044f1ca045446b64cc05c540eee16389f5e89090f657139d0699942fc2ad

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.272108Z digest=sha256:128fa1d23775f25558b26585e9d1b2e49d95a70c6c85ec1a5ff563ff80caae0a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.275991Z digest=sha256:31ed91d12041d53de6af0ef162bfa0d686609e28874edfd70059ae3f2ce7eedf

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=sha256:96b3836de206718313bc27279232fa1001e6f96626649b7acdeb5d36bc3bf80c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.284235Z digest=sha256:a1d08494a7d98fb285e0b1914648f15af74323ef483e03d9fd849ef0ebe657c7

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.288185Z digest=sha256:5b7db8ed293c4a12343882fefcba66841419ea4b478df41d6148de4cdc28495a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.292028Z digest=sha256:2771ac2b260d03ec79b96db09b5b751432983b07e879a23443a7bf7349d851e0

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.297797Z digest=sha256:4bf1831effcc4a46862dee767cd3a1b371896ceada1c6ee1baf8323897c35a52

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=sha256:67934fbf07967d730a44c8106a96ad19a1042b35f25d5ad9e5805195cdb2f545

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.305113Z digest=sha256:59d7a45bc13cbab04ab3ca00096f268cd97dde24ea20320c7e3a87513a8ccd81

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.308464Z digest=sha256:5b2f4e196e52277b8e23e02ff54bb54a50403504945f93e4c29f0b9fb3b1372b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.312107Z digest=sha256:643f0e2b79c92884b00a63187f62bfdead676cbb7d07bb2e24d0cb41377b8421

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.315372Z digest=sha256:8c39f5f69e41210beaa4b4f3de3ec7f49669c9b8e78e0068c9f03bdbf4ffa8bd

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.318514Z digest=sha256:8c53bc54ecc4a9ad74b2e7f9b2cf96768de623bece10135f1c5b2813861e9144

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 2026-08-16T06:30:59.297886+00:00.

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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

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source=arxiv_source observed=2026-08-11T20:33:48.326067Z digest=sha256:b537d01e51783fa740bb23342ce035047fba0875192aa68087ed66a95f8dad13

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

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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

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source=arxiv_source observed=2026-08-11T20:33:48.333455Z digest=sha256:ea1bd964a623fb27c3ad7fc1689c5fc749c45d6c6b0e6b705291eeb7e488b889

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

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source=arxiv_source observed=2026-08-11T20:33:48.336515Z digest=sha256:7e3bf0dd369be37ae70e00eabd1b27f7e8dae7886e3cb0c99992ba11cc952320

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

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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:ffef4c08b1d6034b3f1edd68bd982277c4cc31224574d4a5400010390bc67359

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

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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=sha256:7950c539599080fd1132cbbd6ed33e170c7ff30768525026bd92042d39a4db0b

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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source=arxiv_source observed=2026-08-11T20:33:48.345145Z digest=sha256:45b666901f4aca341464343176760e1235954de9408e00997c5b9d46fcceaa4c

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

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source=arxiv_source observed=2026-08-11T20:33:48.348298Z digest=sha256:6f3079fdf9129300fb8782e1b5dac8087ec5079f2ab8d6dc1481f9956762eda5

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

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source=arxiv_source observed=2026-08-11T20:33:48.352086Z digest=sha256:a161f2f1242490eee3d04035f3d925596a6e65138da3f516e05de64cdc4ebfa8

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

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source=arxiv_source observed=2026-08-11T20:33:48.356510Z digest=sha256:44e3127ac61cfff98260df11cbc3aec93b0114188fd0a44f61ceeef71c7cfa68

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