Paper Citation Record · LEDGER

Differentially Private Sparse Linear Regression with Heavy-tailed Responses

As of 20 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2506.06861.

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

pith.paper-citation-record.v1
2506.06861 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

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measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T06:03:53.222767Z

measured 0 of 1 external citation measurements

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Source: pith, observed 2026-08-05T06:03:55.781976Z

Reference resolution

62 of 62 outbound references displayed

verified exact1
verified fuzzy45
unresolved14
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External citation measurements

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Outbound references

Observation ab502007-4b73-4ed5-a5fd-b7e19be8bfd5 · outbound

This paper cites In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security

Reference 1

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Observation ebd67879-6c46-40d2-a290-b9462906b84d · outbound

This paper cites The Annals of Statistics 47(4), 2117–2144 (2019).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses The Annals of Statistics 47(4), 2117–2144 (2019)

Reference 2

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Differentially Private Sparse Linear Regression with Heavy-tailed Responses Unresolved cited work

Reference 3

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This paper cites Advances in Neural Information Processing Systems33(2020).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Advances in Neural Information Processing Systems33(2020)

Reference 4

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This paper cites In: Advances in Neural Information Processing Sys- tems (2019).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Advances in Neural Information Processing Sys- tems (2019)

Reference 5

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Differentially Private Sparse Linear Regression with Heavy-tailed Responses Unresolved cited work

Reference 6

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Observation 35dde72d-4a46-4bc9-8831-7ba5eef03881 · outbound

This paper cites The Annals of Statistics43(6), 2507–2536 (2015).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses The Annals of Statistics43(6), 2507–2536 (2015)

Reference 7

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Differentially Private Sparse Linear Regression with Heavy-tailed Responses Unresolved cited work

Reference 8

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Differentially Private Sparse Linear Regression with Heavy-tailed Responses Unresolved cited work

Reference 9

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Observation 06ac9eaf-1e51-423a-a366-9f0e75f824f0 · outbound

This paper cites The Annals of Statistics49(5), 2825–2850 (2021).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses The Annals of Statistics49(5), 2825–2850 (2021)

Reference 10

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Observation 06971817-a24b-492a-878a-59eb8567cd69 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Advances in Neural Information Processing Systems

Reference 11

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Observation 7deaadf5-40d2-48d3-a5f0-16cb56be201d · outbound

This paper cites Journal of Machine Learning Research12, 1069–1109 (2011).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Journal of Machine Learning Research12, 1069–1109 (2011)

Reference 12

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Observation ef841aac-3e85-47f2-b233-66a58237d786 · outbound

This paper cites Nature486(7403), 346–352 (2012).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Nature486(7403), 346–352 (2012)

Reference 13

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Observation 1778d1bc-d1df-40a5-9bd6-90197fa23747 · outbound

This paper cites In: Ad- vances in Neural Information Processing Systems.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Ad- vances in Neural Information Processing Systems

Reference 14

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Observation b9d805b6-ec8d-40c7-bb55-46ff32cc1db8 · outbound

This paper cites Nearly Optimal Differentially Private ReLU Regression.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Nearly Optimal Differentially Private ReLU Regression

Reference 15

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Observation 0b23c077-129d-4996-98ef-92c6b78dcbc8 · outbound

This paper cites Advances in Neural Information Processing Systems37, 55470–55506 (2024).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Advances in Neural Information Processing Systems37, 55470–55506 (2024)

Reference 16

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Observation a9295894-6363-4837-893b-a5f8071f542b · outbound

This paper cites Journal of the American Statistical Association113(521), 182–201 (2018).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Journal of the American Statistical Association113(521), 182–201 (2018)

Reference 17

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Observation b9d4ef52-d177-4d62-9dda-304c1a5ab20e · outbound

This paper cites 265–284 (2006).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses 265–284 (2006)

Reference 18

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Observation 8494b495-0343-4c42-b86a-2fad192e3b3f · outbound

This paper cites In: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing

Reference 19

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Observation 92881b19-3479-4509-bd10-439aa1808e9b · outbound

This paper cites In: International Conference on Machine Learning.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: International Conference on Machine Learning

Reference 20

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Observation 2ac2b376-810f-4e68-be1c-2b3582412cc5 · outbound

This paper cites In: Proceedings of the 41st ACM SIGMOD- SIGACT-SIGAI Symposium on Principles of Database Systems (PODS ’22).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Proceedings of the 41st ACM SIGMOD- SIGACT-SIGAI Symposium on Principles of Database Systems (PODS ’22)

Reference 21

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Observation 4c68c1d1-6b3b-4b64-8c66-0b1146a574c8 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 22

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Observation 35c98e61-7a4b-4860-abf2-44264ed16d3d · outbound

This paper cites The Annals of Mathemat- ical Statistics35(1), 73–101 (1964).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses The Annals of Mathemat- ical Statistics35(1), 73–101 (1964)

Reference 23

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Differentially Private Sparse Linear Regression with Heavy-tailed Responses Unresolved cited work

Reference 24

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Observation 6ef44ba3-fa9e-4094-8790-cc3d55a0767d · outbound

This paper cites In: 2019 IEEE Symposium on Security and Privacy (SP).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: 2019 IEEE Symposium on Security and Privacy (SP)

Reference 25

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Differentially Private Sparse Linear Regression with Heavy-tailed Responses Unresolved cited work

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This paper cites In: Conference on Learning Theory.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Conference on Learning Theory

Reference 27

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This paper cites In: International Conference on Machine Learning.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: International Conference on Machine Learning

Reference 28

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Observation 4ae808bd-2aaf-4684-a26e-cd7c9c7739fe · outbound

This paper cites In: Conference on Learning Theory.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Conference on Learning Theory

Reference 29

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Differentially Private Sparse Linear Regression with Heavy-tailed Responses Unresolved cited work

Reference 30

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Differentially Private Sparse Linear Regression with Heavy-tailed Responses Unresolved cited work

Reference 31

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This paper cites Journal of the European Mathematical Society (2019).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Journal of the European Mathematical Society (2019)

Reference 32

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This paper cites British Journal of Cancer91(5), 873–878 (2004).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses British Journal of Cancer91(5), 873–878 (2004)

Reference 33

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This paper cites In: Proceedings of the Thirty-Ninth Annual ACM Symposium on Theory of Computing.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Proceedings of the Thirty-Ninth Annual ACM Symposium on Theory of Computing

Reference 34

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This paper cites Nature Communications7, 11479 (2016).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Nature Communications7, 11479 (2016)

Reference 35

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This paper cites Cancer Research72(14), 3499–3511 (2012).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Cancer Research72(14), 3499–3511 (2012)

Reference 36

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This paper cites Differentially Private Non-convex Learning for Multi-layer Neural Networks.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Differentially Private Non-convex Learning for Multi-layer Neural Networks

Reference 37

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Differentially Private Sparse Linear Regression with Heavy-tailed Responses Unresolved cited work

Reference 38

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This paper cites In: International Conference on Algorithmic Learning Theory.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: International Conference on Algorithmic Learning Theory

Reference 39

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Observation d56cc10e-7744-49af-8e8e-3390df7f9951 · outbound

This paper cites Journal of Machine Learning Research25(114), 1–41 (2024).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Journal of Machine Learning Research25(114), 1–41 (2024)

Reference 40

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Observation 56cbc2bf-47e2-4366-8fa5-ec9b185cf287 · outbound

This paper cites Journal of the American Statistical Association115(529), 254–265 (2020).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Journal of the American Statistical Association115(529), 254–265 (2020)

Reference 41

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This paper cites In: Proceedings of the 28th International Conference on Neural Information Processing Systems.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Proceedings of the 28th International Conference on Neural Information Processing Systems

Reference 42

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This paper cites CoRR (2017).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses CoRR (2017)

Reference 43

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Observation 1099e4bf-8b33-4bc1-98e9-09d18a21b470 · outbound

This paper cites In: 31st International Joint Conference on Artificial Intelligence, IJCAI 2022.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: 31st International Joint Conference on Artificial Intelligence, IJCAI 2022

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.642013Z

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Observation 5edb074c-30aa-4c60-9023-0e85906cedbe · outbound

This paper cites Journal of Complexity74, 101696 (2023).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Journal of Complexity74, 101696 (2023)

Reference 45

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Observation e140434d-6a40-44c7-80c1-0e6566da9275 · outbound

This paper cites In: International Conference on Machine Learning.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: International Conference on Machine Learning

Reference 46

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Observation 11deec5a-43d9-416e-95b9-de7e66e65dda · outbound

This paper cites Journal of Machine Learning Research21(200), 1–39 (2020).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Journal of Machine Learning Research21(200), 1–39 (2020)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.616666Z

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Observation ba6b9c0c-4ee9-48e7-9c66-afaa492a2731 · outbound

This paper cites In: International Conference on Machine Learning.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: International Conference on Machine Learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.608416Z

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Observation 133a3554-9b5a-4ce6-bacd-4446cd11ef4d · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.600070Z

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Observation 9430634b-e350-4999-880f-e4ee02e29ab2 · outbound

This paper cites In: International Conference on Machine Learning.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: International Conference on Machine Learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.591505Z

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Observation f8d041f2-f068-4559-abe2-1d6173c9c481 · outbound

This paper cites In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.582739Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec25d43d-bd23-4e46-a9eb-ec85ec1e019b · outbound

This paper cites IEEE Transactions on Information Theory67(2), 1182–1200 (2020).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses IEEE Transactions on Information Theory67(2), 1182–1200 (2020)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.573259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1cf40a8a-87d4-43eb-880b-e9e31fdc64f6 · outbound

This paper cites In: 2022 IEEE International Symposium on Information Theory (ISIT).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: 2022 IEEE International Symposium on Information Theory (ISIT)

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.564101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0bd7b470-a497-48c4-bd0f-1eefc727de6f · outbound

This paper cites Theo- retical Computer Science1030, 115071 (2025).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Theo- retical Computer Science1030, 115071 (2025)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.555298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68d27e34-93a5-4310-82ce-327a91400bc9 · outbound

This paper cites Advances in Neural Information Processing Systems 30(2017).

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Advances in Neural Information Processing Systems 30(2017)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.545242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 326c9aad-91eb-4f87-ab53-1e602d16395a · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.535090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a0aa47bd-2c61-4654-9dcc-59b291b19b31 · outbound

This paper cites an unresolved cited work.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:48.525448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b9f986d-19df-46e8-b02b-7dfc09997992 · outbound

This paper cites In: 30th International Joint Conference on Artificial Intelligence, IJCAI.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: 30th International Joint Conference on Artificial Intelligence, IJCAI

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.516265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d172aea3-adec-45f8-9d01-e6f8f5a45162 · outbound

This paper cites In: Pro- ceedings of the AAAI Conference on Artificial Intelligence.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses In: Pro- ceedings of the AAAI Conference on Artificial Intelligence

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.497456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53094daa-6049-4818-8671-f3dfa76b754c · outbound

This paper cites Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:48.414931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db0fba2-dc85-4420-8d82-191b8aaf1755 · outbound

This paper cites Truthful High Dimensional Sparse Linear Regression.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses Truthful High Dimensional Sparse Linear Regression

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:57:48.454879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 49825374-4e6f-4c5a-83b4-f64caafbec6b · outbound

This paper cites 3242–3248.

Differentially Private Sparse Linear Regression with Heavy-tailed Responses 3242–3248

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:48.507152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation c3143b29-2dcd-4713-9d6e-19fc7ed87db5 · inbound

Beyond Ordinary Lipschitz Constraints: Differentially Private Stochastic Optimization with Tsybakov Noise Condition cites this paper.

Beyond Ordinary Lipschitz Constraints: Differentially Private Stochastic Optimization with Tsybakov Noise Condition Differentially Private Sparse Linear Regression with Heavy-tailed Responses

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-05T06:03:55.887247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.