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Paper Citation Record · LEDGER

Near-optimal Delta-convex Estimation of Lipschitz Functions

As of 19 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

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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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=sha256:3dba3abf77f154445c779a956c3e2ea0fda1c31e5becd58eb31e25ee1389f792

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=sha256:72293f25fc4d6c95f4e36481039bb04d28c47c909559b06208124ab46a475444

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=sha256:46e16e578de6fe38bc8fe69a1b9684257d34fca4876bf1aa193f4b9b4ae2716a

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=sha256:737b4d6c64f314bb13fddc43b0e784c3291ed1cdecd0ce772070e49f7fd98a53

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=sha256:118598ae1f4c409db3f3653054464f4a422e8ec19b54c52bcd75d0290692a8e5

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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source=arxiv_source observed=2026-08-03T21:31:24.553347Z digest=sha256:6794338c2c4b1bb8a6fd121c940b9da708f6cde113fa5975d25585acd4e9eb8f

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=sha256:4b505e74548bd7645c91883d4eab4a98fe33bdfcb8492477236c933b7c9d53c0

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:b74677d2e977f9a18663eecf909a2f045584f7d7e3eff6ff8a58a41112223744

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:a19a8b4387f2b5f4d7fac4da734482abf1b517dc99c33c71ebc193f04abb4cbc

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=sha256:22a3f452aad4bda5c3dc980c4264d65e47fb1f386efbdc830ef93d0a010b7641

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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source=arxiv_source observed=2026-08-03T21:31:25.208983Z digest=sha256:9db79ec0be9e415f03b6ed11dd71120bb4e0ce2cafad897b831ae252b23bb40a

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=sha256:6c46323efbc3a697381e9179c686e74b577bc2e9bc6954026aa68632578c804d

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=sha256:39e3aef37d2189b8124298474b2ba67c41c84ea961e3b51a0b3559a51d0f35a7

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=sha256:0bf611b3fa5857349363f2219faff1232741c85f45c90a44b73d94b35d8b717f

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=sha256:69673a55f8285283bff22a0a7ecac810abb893b7411d898c612cd9d27be24fe9

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:bd145fed1dd6f54716f156ee86718c3d5883132f0de551b3e66f0978a5bc5858

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=sha256:0970e070506cd870f0f9feeb96016c57eac7af4cf13e6c7d5b9d34e110be81e7

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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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=sha256:43b96912b15b45fc4c3b0de607fab5c482eefd0fbd024e82d2fe8bb91cafed3c

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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source=arxiv_source observed=2026-08-03T21:31:26.307889Z digest=sha256:5e73a0c8fa3546a1a6cd392edcf8d809fb886f402524fbb58197787510843a15

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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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=sha256:847c22b2be774b1c76ad78a3a8e4467e7c8514dfa2b264eaca9deb45aa0b2201

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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source=arxiv_source observed=2026-08-03T21:31:26.927528Z digest=sha256:c9ffb0017e9b2c18052d19ca8aaddece257a5cac98fd10665be474cf4c17b43a

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:e742a99e31124b4f1b0706759c349a6f921aa2237d82cd2721d3a7edc14c2a80

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:ff488737eaf6c2944cd0f5a08b0f9ec5266825a41ddc60286dfb2556d751b3d4

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:b528bbb65b7b378df02ab1776c9fbc1f56a6688c4d5f6db3c2d1765a53473548

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:d6e14313d8da1d473a38812621bd527abb59604b33ad4c817f6af437273388da

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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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=sha256:692af94a65561382ea25b6b12dd76f53a29eed12e93c214e8cc9253a082b1dc0

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:aec47511eac28016cdcdc6874fae3fae247517e70c3046d7a368eed5f08df87f

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

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source=arxiv_source observed=2026-08-03T21:31:28.034135Z digest=sha256:5f48e001b8b0b1ed2258755eef88f86776f1aece213e67883eba5ee79fae15a2

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:fdad8716763752da620fecad6bb11cd8f9eacfbe6695e15a94b7e3366ac4082a

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=sha256:86e43b5116a08e89e28a0723f2f6865e6fa2a51890191a513e6b3093326fc6df

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=sha256:56d0baccc24a939c39d53a505450301da7ae262421f6709301b2506cefae449b

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=sha256:381b18e5402d10861775348a0ecf1c68cc784a695f9606669101af7f8c8d0441

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=sha256:9af576478d46bdcc4b97bc94e7fb1cb76b4d45ff90f4ed2d46eac12393c62163

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=sha256:66323c4f9e1661b6e5f004abc62d98ce17afab0cb23a49e3712211eecd89c361

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:b739ebf969adbb7278f0825cdb28aa58df7f627f3017a604f67a65f1aec3a0ec

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=sha256:691b7c5c86c01164c58a3c1ffcbd86ed994c576efe8b1f66ebca134f5b9d47ed

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=sha256:29368539edfd6796bbee13b648aa5a37927d8fd6fb9fb29ad9eb4c38c4b2e6a2

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=sha256:37d49866c925ce370b47ec4c93c488ffdd31d7b8839a02010251a7ec9d0b0ef0

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:cb8e339f881380d7502e43b69cf125359d1353d2a8acdba6e979326897bb6687

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:f0f5c29e31611b86a9b03ce1c6e0643bcd93299ffd7adddf466c62a2c29b1b30

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=sha256:5d1f885b1684ef78e2283aae4d005f3c0b8db61bdd96f8f65ce8488d7ce19912

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=sha256:28a8e70bb5d215de5a2c168ba148d70fd12e2914eb82e8a76b6bcf3f5bf29d03

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:e15e6b1c2ee2340ec86e3ed455f3ab382187b177715e0c7088c8531706acda05

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