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Paper Citation Record · LEDGER

Near-optimal Delta-convex Estimation of Lipschitz Functions

As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2511.15615.

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pith.paper-citation-record.v1
2511.15615 v2

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measured 50 of 50 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T21:31:29.235668Z

measured 50 of 50 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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Outbound references

Observation ad33303f-fc37-4400-88c5-714a89979d6c · outbound

This paper cites A Parallelizable Dual Smoothing Method for Large Scale Convex Regression Problems.

Near-optimal Delta-convex Estimation of Lipschitz Functions A Parallelizable Dual Smoothing Method for Large Scale Convex Regression Problems

Reference 1

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source=arxiv_source observed=2026-08-03T21:31:24.051678Z digest=sha256:8e74128bc587f249b861cc3cbfbc1b0d7afb6020d2965b7aba1822362a00ac1c

Observation 935682b2-7f23-4877-8a97-eedf68236c86 · outbound

This paper cites An algorithm for the estimation of a regression function by continuous piecewise linear functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions An algorithm for the estimation of a regression function by continuous piecewise linear functions

Reference 2

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source=arxiv_source observed=2026-08-03T21:31:24.111407Z digest=sha256:33baba412357884cc810a10f79c2065aa6fe645300ac72adcfed6f2a0d7e6391

Observation 1f965fda-364a-4f2a-bd8f-5abd53e1e85f · outbound

This paper cites Bagirov, Sona Taheri, Napsu Karmitsa, Nargiz Sultanova, and Soodabeh Asadi.

Near-optimal Delta-convex Estimation of Lipschitz Functions Bagirov, Sona Taheri, Napsu Karmitsa, Nargiz Sultanova, and Soodabeh Asadi

Reference 3

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source=arxiv_source observed=2026-08-03T21:31:24.182542Z digest=sha256:6680ac427c8c3cc8cea6ef80a00d9bf6cf7ee2b8456ed606cf1950096a0c4612

Observation 10249a2a-bf61-48d7-b1d4-ad2b69649fec · outbound

This paper cites Convex Regression: Theory, Practice, and Applications.

Near-optimal Delta-convex Estimation of Lipschitz Functions Convex Regression: Theory, Practice, and Applications

Reference 4

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source=arxiv_source observed=2026-08-03T21:31:24.333924Z digest=sha256:294e4c41781579c47c2c921a2bdb292a7f68524fa1515c5be8fa898e34791109

Observation fad072ea-5458-440a-ad4a-95c784a96a0b · outbound

This paper cites Adaptively partitioning max-affine estimators for convex regression.

Near-optimal Delta-convex Estimation of Lipschitz Functions Adaptively partitioning max-affine estimators for convex regression

Reference 5

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source=arxiv_source observed=2026-08-03T21:31:24.416010Z digest=sha256:c9228e5e643963da0357ee073e5109a5a528522847afd6897058af689795e087

Observation cec60748-99a7-4c2c-a6d2-0740e1c857f1 · outbound

This paper cites Near-optimal max-affine estimators for convex regression.

Near-optimal Delta-convex Estimation of Lipschitz Functions Near-optimal max-affine estimators for convex regression

Reference 6

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Observation 7a9b183e-a766-4f06-9219-5c5a078dbe47 · outbound

This paper cites Chaining Bounds for Empirical Risk Minimization.

Near-optimal Delta-convex Estimation of Lipschitz Functions Chaining Bounds for Empirical Risk Minimization

Reference 7

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source=arxiv_source observed=2026-08-03T21:31:24.705696Z digest=sha256:fa8fb80d22e75706ca76a72976f36b4a8249eb4e96af34472ad71f124a13cf42

Observation 0135e00c-614c-4f20-aa05-990e73d62b31 · outbound

This paper cites Bartlett and Shahar Mendelson.

Near-optimal Delta-convex Estimation of Lipschitz Functions Bartlett and Shahar Mendelson

Reference 8

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source=arxiv_source observed=2026-08-03T21:31:24.883663Z digest=sha256:0bd92326b6551d31a9d3516a4461a9b864a48f13ea60c50ebfcda1625d51f7bd

Observation d317bcc2-fb11-4c11-841a-726d4ea82039 · outbound

This paper cites Bartlett, St\'ephane Boucheron, and G\'abor Lugosi.

Near-optimal Delta-convex Estimation of Lipschitz Functions Bartlett, St\'ephane Boucheron, and G\'abor Lugosi

Reference 9

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source=arxiv_source observed=2026-08-03T21:31:25.016852Z digest=sha256:ee6abfc8ad8dd4a798a64bcaca0e44de5a8bb512d0edffb1613c7e210b28906f

Observation 78c0a008-63a2-45bd-b150-cb48b5370dcf · outbound

This paper cites Multivariate distributionally robust convex regression under absolute error loss.

Near-optimal Delta-convex Estimation of Lipschitz Functions Multivariate distributionally robust convex regression under absolute error loss

Reference 10

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source=arxiv_source observed=2026-08-03T21:31:25.138527Z digest=sha256:f622d612b673f3d8413eb4c61450aa929e9b43005a62081778d3152b498ae73c

Observation 13ec2ce6-277c-4c39-b418-485adcc3f3f6 · outbound

This paper cites Concentration Inequalities: A nonasymptotic theory of independence.

Near-optimal Delta-convex Estimation of Lipschitz Functions Concentration Inequalities: A nonasymptotic theory of independence

Reference 11

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Observation 46b9e91a-7c75-4010-a2da-d5c23a846cd6 · outbound

This paper cites Convex Optimization.

Near-optimal Delta-convex Estimation of Lipschitz Functions Convex Optimization

Reference 12

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source=arxiv_source observed=2026-08-03T21:31:25.309225Z digest=sha256:c00812448d5e76dd1d0c53ff72182da3f87b2643969bfd8b18f09e54cce24f39

Observation 10b7e7a8-6471-4abd-97e4-c5123b7ee5fe · outbound

This paper cites Random forests.

Near-optimal Delta-convex Estimation of Lipschitz Functions Random forests

Reference 13

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source=arxiv_source observed=2026-08-03T21:31:25.358785Z digest=sha256:8e4c8a9fa64874914592f6381e781db22b095003d914e1c0c72e784b54226e77

Observation 069116d2-70a7-4b0c-9778-b164ca6d6afc · outbound

This paper cites XGB oost: A S calable T ree B oosting S ystem.

Near-optimal Delta-convex Estimation of Lipschitz Functions XGB oost: A S calable T ree B oosting S ystem

Reference 14

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source=arxiv_source observed=2026-08-03T21:31:25.443395Z digest=sha256:57672dc6a329b5dcdb058b51c359f1bf47ccad8d093a3064cdf68703be67abbd

Observation 71b6ec71-b921-4d60-ac31-525f7a8d2d3c · outbound

This paper cites Subgradient regularized multivariate convex regression at scale.

Near-optimal Delta-convex Estimation of Lipschitz Functions Subgradient regularized multivariate convex regression at scale

Reference 15

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source=arxiv_source observed=2026-08-03T21:31:25.611527Z digest=sha256:dbf78fd863a216e87fc88dcf9872496c8165665038759ac4fea6c3ba59174108

Observation b6831830-eb53-4bc8-9af5-88867970460f · outbound

This paper cites Random projection trees and low dimensional manifolds.

Near-optimal Delta-convex Estimation of Lipschitz Functions Random projection trees and low dimensional manifolds

Reference 16

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source=arxiv_source observed=2026-08-03T21:31:25.704143Z digest=sha256:eeed6e9a2c2c69cbb7c324b9dfaae5bd0df1240fdebf0b1884a525100d095781

Observation ba4f29f7-a568-4b4f-92aa-425a0d58ca6d · outbound

This paper cites DeVore, Ralph Howard, and Charles Micchelli.

Near-optimal Delta-convex Estimation of Lipschitz Functions DeVore, Ralph Howard, and Charles Micchelli

Reference 17

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source=arxiv_source observed=2026-08-03T21:31:25.779406Z digest=sha256:842e5f1e36f314d66101f76106a1a0b14547bd5e6e901c5940d3d6949db10dce

Observation 148ba06d-2e06-4547-9af5-103200f5655b · outbound

This paper cites Gonzalez.

Near-optimal Delta-convex Estimation of Lipschitz Functions Gonzalez

Reference 18

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source=arxiv_source observed=2026-08-03T21:31:25.926626Z digest=sha256:bdf2ac92738e7a23e4657ab0a2e7cd9b823b723b294044fe39ea7969c866f694

Observation ee2cdacf-56bf-4879-bb92-aa7b94d40ab8 · outbound

This paper cites M axout N etworks.

Near-optimal Delta-convex Estimation of Lipschitz Functions M axout N etworks

Reference 19

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Observation 9b7a37bf-8754-46ee-8807-344c5cc4e87f · outbound

This paper cites Clarabel: An interior-point solver for conic programs with quadratic objectives.

Near-optimal Delta-convex Estimation of Lipschitz Functions Clarabel: An interior-point solver for conic programs with quadratic objectives

Reference 20

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source=arxiv_source observed=2026-08-03T21:31:26.184925Z digest=sha256:9f70df47e54cf98bfd75079e2800ebd47a5bb78e56323bfbeea341939f1e0499

Observation fe2bde5b-9f51-4dfd-bb0a-683743d1866f · outbound

This paper cites Gupta, R.

Near-optimal Delta-convex Estimation of Lipschitz Functions Gupta, R

Reference 21

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Observation d67d3d34-f73b-479b-a65c-33c28406b4e6 · outbound

This paper cites A distribution-free theory of nonparametric regression.

Near-optimal Delta-convex Estimation of Lipschitz Functions A distribution-free theory of nonparametric regression

Reference 22

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Observation 15e141bc-a556-43df-aa59-24b197fbbc9b · outbound

This paper cites Multivariate convex regression: global risk bounds and adaptation.

Near-optimal Delta-convex Estimation of Lipschitz Functions Multivariate convex regression: global risk bounds and adaptation

Reference 23

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source=arxiv_source observed=2026-08-03T21:31:26.546018Z digest=sha256:fb634c86f274814c6a7698c55f7b51bc8c95c8c819b415f91025aecb477f3fe8

Observation 10e279df-a173-4e46-b51b-527dcb76390c · outbound

This paper cites On functions representable as a difference of convex functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions On functions representable as a difference of convex functions

Reference 24

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Observation 883d75a5-90e7-480e-a565-c6ddd6c91fc8 · outbound

This paper cites Extension of L ipschitz functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Extension of L ipschitz functions

Reference 25

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source=arxiv_source observed=2026-08-03T21:31:26.787834Z digest=sha256:4424efd6016219ec47dbc6f940e4782e85a2966e17aef833bb1106c5398bfa08

Observation 5cfcf430-9fdf-413e-861a-48f54f75e053 · outbound

This paper cites Generalized differentiability, duality and optimization for problems dealing with differences of convex functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Generalized differentiability, duality and optimization for problems dealing with differences of convex functions

Reference 26

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Observation b16a2936-6ac9-415d-8b62-3bd506c9fb76 · outbound

This paper cites Hochbaum and David B.

Near-optimal Delta-convex Estimation of Lipschitz Functions Hochbaum and David B

Reference 27

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source=arxiv_source observed=2026-08-03T21:31:27.038363Z digest=sha256:3b1c50134eb4c53f1235f56081d5cce0381332e97e721961cd646ddf36bcc020

Observation ceffd3e6-549b-4b2b-9ba0-19f3c3547086 · outbound

This paper cites The curse of dimension in nonparametric regression.

Near-optimal Delta-convex Estimation of Lipschitz Functions The curse of dimension in nonparametric regression

Reference 28

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source=arxiv_source observed=2026-08-03T21:31:27.131094Z digest=sha256:43291e87560a1057350dc22cd9c161a5f191c4527f6b1809c2dc1d36bd37a9e5

Observation b39be321-994c-4e08-9ac4-8ac06cb93bfe · outbound

This paper cites A tree-based regressor that adapts to intrinsic dimension.

Near-optimal Delta-convex Estimation of Lipschitz Functions A tree-based regressor that adapts to intrinsic dimension

Reference 29

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source=arxiv_source observed=2026-08-03T21:31:27.272394Z digest=sha256:73fa075e6e9897dd89b04f7ed32de32544cc4d26491b8fff988b20e0040d1aa2

Observation 5aa742ed-ecda-45a9-80cd-bb2f78886228 · outbound

This paper cites Kulkarni and S.E.

Near-optimal Delta-convex Estimation of Lipschitz Functions Kulkarni and S.E

Reference 30

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source=arxiv_source observed=2026-08-03T21:31:27.398875Z digest=sha256:f3dba5a4c2af3e2c1cac861de5449a600461591142e8e8ceaaae6f23e69134a4

Observation b8109e02-65b9-41eb-add9-c1ffb7874abf · outbound

This paper cites Convex regression in multidimensions: Suboptimality of least squares estimators.

Near-optimal Delta-convex Estimation of Lipschitz Functions Convex regression in multidimensions: Suboptimality of least squares estimators

Reference 31

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source=arxiv_source observed=2026-08-03T21:31:27.516197Z digest=sha256:dfe8823652b15550db570aad7728885c74e6466e5c62c68e0ac8a3a9e5447fb0

Observation 2eefda37-81fa-4c03-b7b9-b902a7625675 · outbound

This paper cites On convergence rates of convex regression in multiple dimensions.

Near-optimal Delta-convex Estimation of Lipschitz Functions On convergence rates of convex regression in multiple dimensions

Reference 32

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source=arxiv_source observed=2026-08-03T21:31:27.636673Z digest=sha256:56d9c6b14950616ca2d4f1f7297fc876d153a960caa2b287fc38a0b0408d51f1

Observation 975728db-07c5-401f-ab91-828bd3fd91e4 · outbound

This paper cites Convex regression with a penalty.

Near-optimal Delta-convex Estimation of Lipschitz Functions Convex regression with a penalty

Reference 33

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source=arxiv_source observed=2026-08-03T21:31:27.741690Z digest=sha256:36091c8e7bff31af203553ecd79ddd58e3d328ac1a75b46765d9e82a21d565b0

Observation c674bb46-382d-4b49-83f0-3b509586591e · outbound

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Near-optimal Delta-convex Estimation of Lipschitz Functions Unresolved cited work

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Observation a9802f3d-cb58-4807-b3ff-e777772bee7f · outbound

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Near-optimal Delta-convex Estimation of Lipschitz Functions Unresolved cited work

Reference 35

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source=arxiv_source observed=2026-08-03T21:31:28.034135Z digest=sha256:670dcb2224fa66a656ff38c9890088b78ef9d2ad40a8c171db3283bc7858c350

Observation c0521fb2-9029-48f6-9d0e-38b264398068 · outbound

This paper cites Nesterov.

Near-optimal Delta-convex Estimation of Lipschitz Functions Nesterov

Reference 36

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source=arxiv_source observed=2026-08-03T21:31:28.109265Z digest=sha256:1cf536cec95505cb7ec5d86efb64961432849ece16924ecd1858c7878786a441

Observation 65225a6d-c0a9-4947-a212-8a939097a7ec · outbound

This paper cites Interior-Point Polynomial Algorithms in Convex Programming.

Near-optimal Delta-convex Estimation of Lipschitz Functions Interior-Point Polynomial Algorithms in Convex Programming

Reference 37

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source=arxiv_source observed=2026-08-03T21:31:28.222206Z digest=sha256:be14fc7b285bbebc7032493b32620dba62e71cafcf1c0c93774e5e3f4619c64d

Observation f298a91b-32ae-4358-8b37-875302de8d6e · outbound

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Near-optimal Delta-convex Estimation of Lipschitz Functions Unresolved cited work

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source=arxiv_source observed=2026-08-03T21:31:28.329012Z digest=sha256:cbab26bc4b61483fec8887c2a1f9009e70c55665a493ae83d347f79baa8f999d

Observation 73442c84-f9ea-40c4-b206-a91c91a8c1b4 · outbound

This paper cites Max-min representation of piecewise linear functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Max-min representation of piecewise linear functions

Reference 39

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source=arxiv_source observed=2026-08-03T21:31:28.446312Z digest=sha256:46e7319f1c11f5b620061c210b048af56d3210e55b284ad02c479182d1614bbc

Observation 3e0059c6-c503-4701-b66f-488471e06d19 · outbound

This paper cites Scikit-learn: Machine learning in python.

Near-optimal Delta-convex Estimation of Lipschitz Functions Scikit-learn: Machine learning in python

Reference 40

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source=arxiv_source observed=2026-08-03T21:31:28.518434Z digest=sha256:61b604ba1ce34e043a3f1f5e2bd4c28d5fe9c18fc2cb370c8ee162f80ed2aa09

Observation 79763818-f360-4641-b7a8-4e1eefa2b9c8 · outbound

This paper cites Torrecilla, Miguel Carbajo Berrocal, Pablo Marcos Manchón, and Alberto Suárez.

Near-optimal Delta-convex Estimation of Lipschitz Functions Torrecilla, Miguel Carbajo Berrocal, Pablo Marcos Manchón, and Alberto Suárez

Reference 41

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source=arxiv_source observed=2026-08-03T21:31:28.601469Z digest=sha256:9209f3e348378dc8eae4d965ba08d00bb09421c991ba20ad24ccc09befb3d5ab

Observation 7ce2523a-e685-417a-90e6-339dbb90b902 · outbound

This paper cites Piecewise linear regression via a difference of convex functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Piecewise linear regression via a difference of convex functions

Reference 42

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source=arxiv_source observed=2026-08-03T21:31:28.646028Z digest=sha256:37e30eb73d9f10442c452a747e0c7d2096b27c004136ca4364d67125966f1d09

Observation a61d01bc-cb19-434c-b6cd-73e496d557af · outbound

This paper cites an unresolved cited work.

Near-optimal Delta-convex Estimation of Lipschitz Functions Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-08-03T21:31:28.703541Z digest=sha256:452debc5127041e023febcf446b8c02052e29b35246203bf64f68e3cbd2cf7bf

Observation cab163bb-414d-451c-acbd-79d7114eb3dd · outbound

This paper cites Least squares estimation of weakly convex functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Least squares estimation of weakly convex functions

Reference 44

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source=arxiv_source observed=2026-08-03T21:31:28.841563Z digest=sha256:b31e5c7ea437dd2bf11eeaaecb3dc12ada346776945bd86cccd3814a15f2f5a8

Observation 19eb3c66-555e-47fd-b3d0-a4ec4a6928c7 · outbound

This paper cites Fitting piecewise linear continuous functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Fitting piecewise linear continuous functions

Reference 45

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source=arxiv_source observed=2026-08-03T21:31:28.903092Z digest=sha256:4ed8c640ef51cd20c3edf0026b2c45ece5397217867450a3e931a7647cd8e152

Observation 485d21f0-bd19-483f-b3c4-33332f42b7bc · outbound

This paper cites Empirical Processes in M-Estimation.

Near-optimal Delta-convex Estimation of Lipschitz Functions Empirical Processes in M-Estimation

Reference 46

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source=arxiv_source observed=2026-08-03T21:31:28.938335Z digest=sha256:ddd0d1a2fe97c173e135ae2e85737c8cafefe1df8799b8456c5273daf63723ea

Observation 5f92062a-e4fc-4615-81a3-d92b79e19f5f · outbound

This paper cites Strong and weak convexity of sets and functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Strong and weak convexity of sets and functions

Reference 47

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source=arxiv_source observed=2026-08-03T21:31:29.006069Z digest=sha256:1dc2af7687eb6199f6bb0a2e5f9aff54f063b7e163659df527de91c235b7db6e

Observation ce068c8e-8cac-4dee-92fc-259181c793ea · outbound

This paper cites Wainwright.

Near-optimal Delta-convex Estimation of Lipschitz Functions Wainwright

Reference 48

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source=arxiv_source observed=2026-08-03T21:31:29.091626Z digest=sha256:80b2ab830cc2497cab1f96ef024199bc1130ab37e146dc128ca6ad30783f1543

Observation d1304d5a-202a-4371-9ecc-4c9bd1a0dd61 · outbound

This paper cites an unresolved cited work.

Near-optimal Delta-convex Estimation of Lipschitz Functions Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-03T21:31:29.171681Z digest=sha256:8be1fbbcb8a774f8a90f509297c1ae706a2117f0a7d69d4c0ae4df3be4b554bb

Observation 19217b3a-f587-42f7-8e7a-4f7e2fecee67 · outbound

This paper cites an unresolved cited work.

Near-optimal Delta-convex Estimation of Lipschitz Functions Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-08-03T21:31:29.235668Z digest=sha256:52bfe5a1ebe9d3c0a80c3f47c70d5d932eafda3af501bb3eb707a3f4ec5d75ab

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