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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm

As of 23 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2411.19553.

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pith.paper-citation-record.v1
2411.19553 v2

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measured 56 of 56 reference resolution

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56 of 56 outbound references displayed

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Outbound references

Observation 3f1cb209-45a1-4c52-9b16-fe7b6625379a · outbound

This paper cites Semi-supervised learning literature survey.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Semi-supervised learning literature survey

Reference 1

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Semi-Supervised Learning

Reference 2

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Billion-scale semi-supervised learning for image classification

Reference 3

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This paper cites Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition

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This paper cites Mixmatch: A holistic approach to semi-supervised learning.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Mixmatch: A holistic approach to semi-supervised learning

Reference 5

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This paper cites Asymptotic Bayes risk for Gaussian mixture in a semi- supervised setting.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Asymptotic Bayes risk for Gaussian mixture in a semi- supervised setting

Reference 6

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This paper cites Pattern recognition and machine learning, volume 4.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Pattern recognition and machine learning, volume 4

Reference 7

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This paper cites Statistical-mechanics analysis of Gaussian labeled-unlabeled classi- fication problems.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Statistical-mechanics analysis of Gaussian labeled-unlabeled classi- fication problems

Reference 8

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This paper cites A study of Gaussian mixture models of color and texture features for image classification and segmentation.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm A study of Gaussian mixture models of color and texture features for image classification and segmentation

Reference 9

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This paper cites High Dimensional Classification via Regularized and Unregularized Empirical Risk Minimization: Precise Error and Optimal Loss.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm High Dimensional Classification via Regularized and Unregularized Empirical Risk Minimization: Precise Error and Optimal Loss

Reference 10

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This paper cites The role of regularization in classification of high-dimensional noisy Gaussian mixture.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm The role of regularization in classification of high-dimensional noisy Gaussian mixture

Reference 11

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This paper cites A modern maximum-likelihood theory for high- dimensional logistic regression.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm A modern maximum-likelihood theory for high- dimensional logistic regression

Reference 12

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Realistic evaluation of deep semi-supervised learning algorithms

Reference 13

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Machine learning applications in genetics and genomics

Reference 14

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This paper cites Reconciling modern machine-learning practice and the classical bias–variance trade-off.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Reconciling modern machine-learning practice and the classical bias–variance trade-off

Reference 15

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm The generalization error of random features regres- sion: Precise asymptotics and the double descent curve

Reference 16

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Gaussian Universality of Perceptrons with Random Labels

Reference 17

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Universality of empirical risk minimization

Reference 18

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Non-adaptive pooling strategies for detection of rare faulty items

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Clustering from sparse pairwise measurements

Reference 20

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex opti- mization

Reference 21

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Optimal M-estimation in high-dimensional regression

Reference 22

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm High dimensional robust M-estimation: Asymptotic variance via approximate message passing

Reference 23

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This paper cites An equivalence between high dimensional Bayes optimal inference and M-estimation.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm An equivalence between high dimensional Bayes optimal inference and M-estimation

Reference 24

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Precise error analysis of regularized M-estimators in high dimensions

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Graphical models concepts in com- pressed sensing

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Message-passing algo- rithms for compressed sensing

Reference 27

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Message passing algorithms for compressed sensing: I I

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm The dynamics of message passing on dense graphs, with applications to compressed sensing

Reference 29

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Low-rank matrix reconstruction and clus- tering via approximate message passing

Reference 30

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Information-theoretically optimal sparse PCA

Reference 31

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm The estimation error of general first order methods

Reference 32

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Understanding belief prop- agation and its generalizations

Reference 33

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Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm A CDMA multiuser detection algorithm on the basis of belief propagation

Reference 34

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This paper cites Approximate belief propagation, density evo- lution, and statistical neurodynamics for CDMA multiuser detection.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Approximate belief propagation, density evo- lution, and statistical neurodynamics for CDMA multiuser detection

Reference 35

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Observation e2eb2f57-ef0d-47a1-80d9-d20b9a673212 · outbound

This paper cites an unresolved cited work.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Unresolved cited work

Reference 36

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Observation 2435c672-073e-4f91-bc40-dddbf844a8f6 · outbound

This paper cites Spin glass theory and be- yond: An Introduction to the Replica Method and Its Applications , volume 9.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Spin glass theory and be- yond: An Introduction to the Replica Method and Its Applications , volume 9

Reference 37

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Observation cce1304a-6eba-417d-8358-f339a275f6ef · outbound

This paper cites Design of capacity-approaching irregular low-density parity-check codes.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Design of capacity-approaching irregular low-density parity-check codes

Reference 38

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Observation f9f978c5-ee72-4a40-9c5c-94a776a9857c · outbound

This paper cites Statistical mechanics of the maximum-likelihood density estimation.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Statistical mechanics of the maximum-likelihood density estimation

Reference 39

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Observation 074868cf-3d5e-4369-a11c-9d8edc139830 · outbound

This paper cites Phase transitions and optimal algorithms in high-dimensional Gaus- sian mixture clustering.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Phase transitions and optimal algorithms in high-dimensional Gaus- sian mixture clustering

Reference 40

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Observation c0c44d0f-d842-4f56-ab87-8a6d54db46b5 · outbound

This paper cites Theoretical in- sights into multiclass classification: A high-dimensional asymptotic view.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Theoretical in- sights into multiclass classification: A high-dimensional asymptotic view

Reference 41

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Observation 921ebc50-1659-441b-9f2f-c3fdc3dc813a · outbound

This paper cites Learning Gaussian mixtures with generalized linear mod- els: Precise asymptotics in high-dimensions.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Learning Gaussian mixtures with generalized linear mod- els: Precise asymptotics in high-dimensions

Reference 42

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Observation 62bb860b-88a6-4eb4-a87f-3e3da5dfd6ab · outbound

This paper cites The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture Data.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture Data

Reference 43

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Observation ad33865b-ba71-4273-a79e-c2e2c28c3d88 · outbound

This paper cites An introduction to variational methods for graphical models.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm An introduction to variational methods for graphical models

Reference 44

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Observation 9b9380e9-a2a3-4ce3-8b4a-0d4d097c5f5d · outbound

This paper cites Graphical models, exponential families, and variational inference.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Graphical models, exponential families, and variational inference

Reference 45

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Observation d2c9ffb6-2220-47f7-874a-8a099ec1959a · outbound

This paper cites Factor graphs and the sum-product algorithm.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Factor graphs and the sum-product algorithm

Reference 46

Resolution
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Observation f6bb0fc4-5b4d-4f14-8e71-fb58c701eb43 · outbound

This paper cites Statistical mechanics and phase transitions in clustering.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Statistical mechanics and phase transitions in clustering

Reference 47

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Observation 4f265007-1ddf-4bce-aa4d-f27e9afcc1ee · outbound

This paper cites Statistical mechanics of unsupervised learning.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Statistical mechanics of unsupervised learning

Reference 48

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Observation 41873104-de34-4845-bae6-221f66f84718 · outbound

This paper cites Scaling laws in learning of classification tasks.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Scaling laws in learning of classification tasks

Reference 49

Resolution
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Observation ee471ac8-2ef2-4e62-ae06-221d89c5ff03 · outbound

This paper cites Optimal unsupervised learning.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Optimal unsupervised learning

Reference 50

Resolution
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Observation 7e9114f3-acfa-40f9-8a15-1cb05e31fae9 · outbound

This paper cites The Nishimori line and Bayesian statistics.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm The Nishimori line and Bayesian statistics

Reference 51

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Observation 8d78c25b-c1d3-453a-bb6c-270e72b2f3fe · outbound

This paper cites Statistical physics of spin glasses and information processing: an introduction.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Statistical physics of spin glasses and information processing: an introduction

Reference 52

Resolution
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Observation a7be68f9-a5fc-4c0d-8ede-e143bfe1058b · outbound

This paper cites A statistical-mechanics approach to large-system analysis of CDMA multiuser detectors.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm A statistical-mechanics approach to large-system analysis of CDMA multiuser detectors

Reference 53

Resolution
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source=pdf_text observed=2026-08-12T10:08:19.620535Z digest=sha256:c26cf50157d4ba64ab59d2dfd0f303e39b77da186f17e4ae9eb3b09af7322b84

Observation dc52aeca-f692-45a5-a25f-08520893700b · outbound

This paper cites Generalized approximate message passing for estimation with ran- dom linear mixing.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Generalized approximate message passing for estimation with ran- dom linear mixing

Reference 54

Resolution
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Observation 4d593ecc-5adb-4f76-9a72-91e07dc570d6 · outbound

This paper cites Approximate message passing for nonconvex sparse regularization with stability and asymptotic analysis.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Approximate message passing for nonconvex sparse regularization with stability and asymptotic analysis

Reference 55

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Observation c3e0080a-a22b-4347-b452-e9eb45021e53 · outbound

This paper cites Macroscopic analysis of vector ap- proximate message passing in a model-mismatched setting.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Macroscopic analysis of vector ap- proximate message passing in a model-mismatched setting

Reference 56

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