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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.

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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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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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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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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

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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

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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

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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

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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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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

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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

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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

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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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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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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

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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

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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

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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

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

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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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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:b83e5f0f43520986ae1c70b66ef481dabad9b9b0ab9f143b0e471db0a529e134

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:caff9bb2f938b3f33eebd11911f9b976c23602c2e385313f8308b235cfcb1a6a

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=sha256:6d0e961b97e91c639ee81940d56aae3a42b06d5064a22c99a0fddc6d54e6fdb6

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:a60ae6e121b29d436fa23b148e90cf7bfb280861c43861c1607a6bbd723a4723

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=sha256:9878b420e92e7e2ade1ce7ba0c1bb9eeaedb6c66571f3d79ce85a9671c13ac4a

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:ccdf790e527809145159cc581f38fbc834cf429c3d05545d02f68d4489f0996d

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=sha256:8b5e57ea4b77ba314e3fbfdd11908338c02ffe442ae25dddae4e0b16832e16b1

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:f8062dcc3b0d2bc9bc934c6f64e5cfced0f22f8564ce12917c444646bf0a35aa

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=sha256:01c3554ecb51f4045ce9e469dc7551190afcb5657d799e1168a4300b860266a4

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=sha256:4c6f367cb7b14e79890406f222bd80fa4903e71f388fe9ab2109e97ed7f03632

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=sha256:8ca643acf86ea99e3c330e401d5a8f34968a5d047013f432e2c40ece1cbc587f

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=sha256:102407a4ba96ed569ae5099da1311ed4cf7b4e9979a6e5d5c3ecd8cd547b3da4

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:e9e3caea21d532aa580907d3505772ae40e0c7d7339f259ffa4476272a5f56db

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:b2595bc39257f3d977c71c89c67cb5e4900253a27139c8ad0080d61220676de2

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=sha256:472ad86cf185bf4adf7a8c2fe1dd7eb0a496de0d549599875978940f43716b24

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:ff44f40e29628b77a161abe0a256533721e9f4fe952b367e964027c93b480bd3

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:baae4e7f8cddc1082964a607520590ad24f583d7668aa0db092b40993abb0fea

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=sha256:67d262b6174ced94111e123af068065e3f2c4a8e64ffe5e02e423db74bda6938

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:e90d1cf4bc3c7d601ded2adba5165ba1d6eb289cd97c01eca4af9bb3a0914967

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=sha256:8c127963f20a18678dc92934a5f242cd63b26bbae3cbf3a1d667c3edcdbcfa9a

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:e798a9ddf1e41d09bef5cbae9b113e9e163fc5c0574238ad398227936e5f8dc1

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=sha256:843dfd78d90414346e0f5897537f4996c00ffeef0d0b575dcebf65d579246918

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:e1e5cc5022917a25058ef2a409953ea8d28de2f6f6aaf069fd855981a869c6fb

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:abdb8a26ad39f01f6f3b61f176009f2bd0ed3fc7a49e1ff6cb86eea114ae02f6

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=sha256:66c8b779e796593ad90c5945e1c0825aa564b906e41f5af6024c075c818d7b70

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=sha256:24491e520f664a5adaf5d27cd31a7c373417c4e52f4c1b5d4b3661327bbb30be

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:ec666c28bad394283918df681d5a629670775282a20929fb6008515c4c14fdac

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=sha256:745a29c835c04cd9b870117a634ee24da436cb2e4569ec975bd7ea7bf60c43db

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=sha256:4da0600b042fb254867b0ef24aa03d70135ec02a0e33180ee7d414ddc57c8ba5

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=sha256:1774cf19c5569dd99a94dc63bee5411179cd801c78f19ee745fd4a949b0d772e

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=sha256:945c32dc8c34662476e95a4acdd162b2b0f3809328ebb3d4db9e6ecb7a8391ce

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=sha256:708e8c2f2bfac82c88d86db637b4694ff460819f2d76a06b940354dde0e0dae3

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:f92c45482bcb1784bc69c7580ecb4544fda8646ee1bd24474e24f70f5a021f02

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=sha256:2b92d5241b879e33a4f689eeeb1f6bd1584e4410844c4c826e753c5e98751e99

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:aafa12e5424d5d12d439054262cc93db8b22e97405e234f8c0d9628a299cb7dd

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=sha256:01824c7a3bc9a58a3aa58cb5d577674484e21e836b4cf685755de9f75a2c6643

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=sha256:23174774eeee460a6a175b22aca1597b3c207902d971f979c52b50a7a6aee65a

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=sha256:91e3fa50943cf39d4c2f655e3d4662094f0607bf329cd966a7fc6f042fce862f

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.

source=arxiv_source observed=2026-08-11T20:33:48.322187Z digest=sha256:aee1580c85165ad673de9f0c60b4f8f94fb8a1740fb372bbf28eee59d2dc8ce2

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:fca4d1592e91f4450649f4c06b4330da9c8374aa12eb6e4c7f4cf645ee70b5b5

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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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=sha256:40def3aa19449234711cbfb7f33e47996647d5466d7a56ba93aa500186b3c679

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=sha256:5b72ec414d6196f03a13c15093e58bfcaaba5aa892a7d1b69a5047b67b29d472

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:e82dc5715817cf888490b216a762efd05e90f8eb3af17a91e6b1012cf849c657

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:ce3704966b5e089c2f80339e4e8b6dbaf2db8e0cdf844f187cbee6a0b44076e8

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:d1ec8e3578351944b4005d10f8ed799030c7b56eacb9b4b336c71cbfc56add97

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=sha256:87b2832a7d1dfec0789f368e3a109922f891190dec046507a3a1002df8cb6c0a

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=sha256:46b6974ae1cabe2892daf8f5f30b09310ee30188045bdff6667a43ab7989cc48

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=sha256:084e8f8d8f6d68692fadfdde9e0a83612cdffab33eb690c03cef5722d590b5fb

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=sha256:26fa8e80dab3282e74339cbbed0d5dc62e4216608a90d5d1bf82b3d57652b880

Pith citing papers

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