Paper Citation Record · LEDGER

Lecture Notes: Selected topics on robust statistical learning theory

As of 16 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 3 inbound Pith citation observations for arXiv:1908.10761.

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

pith.paper-citation-record.v1
1908.10761 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T14:08:21.017957Z

Reference resolution

58 of 58 outbound references displayed

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External citation measurements

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Outbound references

Observation 83bd93fb-ba11-4c45-8165-408154503717 · outbound

This paper cites Estimation b ounds and sharp oracle inequalities of regularized procedures with Lipschit z loss functions.

Lecture Notes: Selected topics on robust statistical learning theory Estimation b ounds and sharp oracle inequalities of regularized procedures with Lipschit z loss functions

Reference 1

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This paper cites Robust linear least square s regres- sion.

Lecture Notes: Selected topics on robust statistical learning theory Robust linear least square s regres- sion

Reference 2

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Observation 6d4c5123-a92f-4924-b556-dda09936a2aa · outbound

This paper cites Baraud and L.

Lecture Notes: Selected topics on robust statistical learning theory Baraud and L

Reference 3

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This paper cites Baraud, L.

Lecture Notes: Selected topics on robust statistical learning theory Baraud, L

Reference 4

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Observation 9abeb4d0-6b6d-479d-9316-92d43485c48a · outbound

This paper cites Non-asymptotic minimax rates of testing in signa l detec- tion.

Lecture Notes: Selected topics on robust statistical learning theory Non-asymptotic minimax rates of testing in signa l detec- tion

Reference 5

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Observation fd6d3a1b-95c5-4028-a96d-31c89e9daa78 · outbound

This paper cites Rho-estimators revisited: general theory and applications.

Lecture Notes: Selected topics on robust statistical learning theory Rho-estimators revisited: general theory and applications

Reference 6

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This paper cites Stabilit´ e et instabilit´ e du risque minimax pour des variables ind´ ependantes ´ equidistribu´ ees.Ann.

Lecture Notes: Selected topics on robust statistical learning theory Stabilit´ e et instabilit´ e du risque minimax pour des variables ind´ ependantes ´ equidistribu´ ees.Ann

Reference 7

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Observation ba61cb9d-204e-4c06-a1b5-11e0aa0ad15f · outbound

This paper cites Model selection via testing: an alternative to (pen alized) maximum likelihood estimators.

Lecture Notes: Selected topics on robust statistical learning theory Model selection via testing: an alternative to (pen alized) maximum likelihood estimators

Reference 8

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Observation 04838ac0-12db-468b-bef6-33ddb618e0f3 · outbound

This paper cites Rates of convergence for m inimum con- trast estimators.

Lecture Notes: Selected topics on robust statistical learning theory Rates of convergence for m inimum con- trast estimators

Reference 9

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Observation f2d7928d-b7c8-4ec7-acb9-0ab3e8aa1a29 · outbound

This paper cites Concentration Inequalities: A Nonasymptotic Theory of Independence.

Lecture Notes: Selected topics on robust statistical learning theory Concentration Inequalities: A Nonasymptotic Theory of Independence

Reference 10

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Observation 2b0c34e8-5ea9-4765-9719-ea1ff12afc0a · outbound

This paper cites A Bennett concentration inequality and its app lication to suprema of empirical processes.

Lecture Notes: Selected topics on robust statistical learning theory A Bennett concentration inequality and its app lication to suprema of empirical processes

Reference 11

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Observation 17b01499-7c47-4e49-8ce4-3df2e49f2fcd · outbound

This paper cites Dimension-free PAC-Bayesian bounds for matrices, vectors, and linear least squares regression.

Lecture Notes: Selected topics on robust statistical learning theory Dimension-free PAC-Bayesian bounds for matrices, vectors, and linear least squares regression

Reference 12

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Observation 22991851-a420-4e21-a1a4-776f3d65c383 · outbound

This paper cites Statistical learning theory and stochastic optimization , vol- ume 1851 of Lecture Notes in Mathematics.

Lecture Notes: Selected topics on robust statistical learning theory Statistical learning theory and stochastic optimization , vol- ume 1851 of Lecture Notes in Mathematics

Reference 13

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Observation c76b2c02-1904-4385-b80e-e7721493a3a7 · outbound

This paper cites Challenging the empirical mean and empirical varianc e: a deviation study.

Lecture Notes: Selected topics on robust statistical learning theory Challenging the empirical mean and empirical varianc e: a deviation study

Reference 14

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Observation fccb9562-c71e-4f30-b99b-7a3b7be83931 · outbound

This paper cites Robust covariance and scat- ter matrix estimation under Huber’s contamination model.

Lecture Notes: Selected topics on robust statistical learning theory Robust covariance and scat- ter matrix estimation under Huber’s contamination model

Reference 15

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Observation d043b33f-9b3e-4a42-9d0d-ad0a68dee95f · outbound

This paper cites High-dimensional robu st mean estimation in nearly-linear time.

Lecture Notes: Selected topics on robust statistical learning theory High-dimensional robu st mean estimation in nearly-linear time

Reference 16

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Observation 9c49defe-3cdf-4989-a585-d854a1aac69e · outbound

This paper cites B artlett.

Lecture Notes: Selected topics on robust statistical learning theory B artlett

Reference 17

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Observation d56ebdce-0545-4ff8-a4cb-681e9dd6bd08 · outbound

This paper cites Statistical learning with Lipschitz and convex loss functions.

Lecture Notes: Selected topics on robust statistical learning theory Statistical learning with Lipschitz and convex loss functions

Reference 18

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This paper cites Robust subgaussian estimation of a mean vector in nearly linear time.

Lecture Notes: Selected topics on robust statistical learning theory Robust subgaussian estimation of a mean vector in nearly linear time

Reference 19

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Observation 4c013ebe-ac08-4102-a8e6-9464d002cbe0 · outbound

This paper cites Oliveira.

Lecture Notes: Selected topics on robust statistical learning theory Oliveira

Reference 20

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Observation 62f25992-f491-415b-8f65-7a5ada968ef4 · outbound

This paper cites Family- wise separation rates for multiple testing.

Lecture Notes: Selected topics on robust statistical learning theory Family- wise separation rates for multiple testing

Reference 21

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Observation 8484ed70-f0f0-43cf-9c87-7481cfb6509e · outbound

This paper cites Contribution to the theory of robust estimatio n.

Lecture Notes: Selected topics on robust statistical learning theory Contribution to the theory of robust estimatio n

Reference 22

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Observation 00cae95f-eb74-4a33-b9ae-3ed9818f0f8b · outbound

This paper cites A general qualitative deﬁnition of robustness.

Lecture Notes: Selected topics on robust statistical learning theory A general qualitative deﬁnition of robustness

Reference 23

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Observation 86c221ab-eb4d-4583-a4c3-ea7bac355c90 · outbound

This paper cites Robust estimation: A condensed partial surve y.

Lecture Notes: Selected topics on robust statistical learning theory Robust estimation: A condensed partial surve y

Reference 24

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Observation ea2b95b8-bd45-4f58-821c-14c2e909c9b9 · outbound

This paper cites The inﬂuence curve and its role in robust estimat ion.

Lecture Notes: Selected topics on robust statistical learning theory The inﬂuence curve and its role in robust estimat ion

Reference 25

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Observation bde8e55c-5b3e-4368-9297-abc2058b45fd · outbound

This paper cites Beyond location parameters: Robust concept s and meth- ods.

Lecture Notes: Selected topics on robust statistical learning theory Beyond location parameters: Robust concept s and meth- ods

Reference 26

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Observation 3c044107-f9c1-4595-8420-cd242a43c329 · outbound

This paper cites Mean Estimation with Sub-Gaussian Rates in Polynomial Time.

Lecture Notes: Selected topics on robust statistical learning theory Mean Estimation with Sub-Gaussian Rates in Polynomial Time

Reference 27

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This paper cites The behavior of maximum likelihood estimates unde r non- standard conditions.

Lecture Notes: Selected topics on robust statistical learning theory The behavior of maximum likelihood estimates unde r non- standard conditions

Reference 28

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Lecture Notes: Selected topics on robust statistical learning theory Robust estimation of a location parameter

Reference 29

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Lecture Notes: Selected topics on robust statistical learning theory Huber and Elvezio M

Reference 30

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Observation 28a18e4c-c3c7-4ba0-b9d0-16b58d6e6248 · outbound

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Lecture Notes: Selected topics on robust statistical learning theory Oracle inequalities in empirical risk minimization and sparse recovery problems , volume 2033 of Lecture Notes in Mathe- matics

Reference 31

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This paper cites Bounding the smallest sin- gular value of a random matrix without concentration.

Lecture Notes: Selected topics on robust statistical learning theory Bounding the smallest sin- gular value of a random matrix without concentration

Reference 32

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Lecture Notes: Selected topics on robust statistical learning theory Lecu´ e and M

Reference 33

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This paper cites Robust machine learning by median-of-means : theory and practice.

Lecture Notes: Selected topics on robust statistical learning theory Robust machine learning by median-of-means : theory and practice

Reference 34

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Lecture Notes: Selected topics on robust statistical learning theory Robust classification via MOM minimization

Reference 35

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This paper cites The concentration of measure phenomenon , volume 89 of Mathematical Surveys and Monographs.

Lecture Notes: Selected topics on robust statistical learning theory The concentration of measure phenomenon , volume 89 of Mathematical Surveys and Monographs

Reference 36

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Lecture Notes: Selected topics on robust statistical learning theory A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates

Reference 37

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Lecture Notes: Selected topics on robust statistical learning theory Robust multivariate mean estimation: the optimality of trimmed mean

Reference 38

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Lecture Notes: Selected topics on robust statistical learning theory Risk minimization by median- of- means tournaments

Reference 39

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Lecture Notes: Selected topics on robust statistical learning theory Mean estimation and reg ression under heavy-tailed distributions: A survey

Reference 40

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Lecture Notes: Selected topics on robust statistical learning theory Regularization, sparse recovery, and median-of-means tournaments

Reference 41

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Lecture Notes: Selected topics on robust statistical learning theory Sub-Gaussian estimators of the mean of a random vector

Reference 42

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This paper cites Some applications of concentration inequalitie s to statis- tics.

Lecture Notes: Selected topics on robust statistical learning theory Some applications of concentration inequalitie s to statis- tics

Reference 43

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Lecture Notes: Selected topics on robust statistical learning theory Risk bounds for statistical learning

Reference 44

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Lecture Notes: Selected topics on robust statistical learning theory Learning without concentration

Reference 45

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Lecture Notes: Selected topics on robust statistical learning theory Distributed Statistical Estimation and Rates of Convergence in Normal Approximation

Reference 46

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This paper cites Geometric median and robust estimation in Ban ach spaces.

Lecture Notes: Selected topics on robust statistical learning theory Geometric median and robust estimation in Ban ach spaces

Reference 47

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Lecture Notes: Selected topics on robust statistical learning theory Unresolved cited work

Reference 48

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Observation f036e8a9-ce7a-4dbe-8b75-4a5d858b282a · outbound

This paper cites Faster and simpler width - independent parallel algorithms for positive semideﬁnite programmin g.

Lecture Notes: Selected topics on robust statistical learning theory Faster and simpler width - independent parallel algorithms for positive semideﬁnite programmin g

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:42:01.088130Z

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Observation 3f68440a-40c3-4a33-a254-c00db8c22d69 · outbound

This paper cites Robust Estimation via Robust Gradient Estimation.

Lecture Notes: Selected topics on robust statistical learning theory Robust Estimation via Robust Gradient Estimation

Reference 50

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Lecture Notes: Selected topics on robust statistical learning theory On optimality of empirical risk minimization in linear aggregation

Reference 51

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Observation be84af7c-be11-4e5b-b09d-9fbf51ffc238 · outbound

This paper cites Support Vector Machines.

Lecture Notes: Selected topics on robust statistical learning theory Support Vector Machines

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:42:01.058522Z

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Lecture Notes: Selected topics on robust statistical learning theory Tsybakov

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Lecture Notes: Selected topics on robust statistical learning theory A survey of sampling from contaminated distribut ions

Reference 54

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Lecture Notes: Selected topics on robust statistical learning theory The future of data analysis

Reference 55

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Reference 56

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Reference 57

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Lecture Notes: Selected topics on robust statistical learning theory Unresolved cited work

Reference 58

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Pith citing papers

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How to sketch a learning algorithm cites this paper.

How to sketch a learning algorithm Lecture Notes: Selected topics on robust statistical learning theory

Reference 17

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Sample-efficient inductive matrix completion with noise and inexact side-information cites this paper.

Sample-efficient inductive matrix completion with noise and inexact side-information Lecture Notes: Selected topics on robust statistical learning theory

Reference 107

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Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation? cites this paper.

Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation? Lecture Notes: Selected topics on robust statistical learning theory

Reference 162

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