Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA | Paper Citation Record

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This paper cites Entrywise eigenvector analysis of random matrices with low expected rank.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Entrywise eigenvector analysis of random matrices with low expected rank

Reference 1

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Observation 89d59873-0808-4b25-a9a8-9e75c19b0702 · outbound

This paper cites An _ p theory of PCA and spectral clustering.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA An _ p theory of PCA and spectral clustering

Reference 2

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This paper cites First efficient convergence for streaming k-pca: a global, gap-free, and near-optimal rate.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA First efficient convergence for streaming k-pca: a global, gap-free, and near-optimal rate

Reference 3

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This paper cites Asymptotic size and a problem with subsampling and with the m out of n bootstrap.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Asymptotic size and a problem with subsampling and with the m out of n bootstrap

Reference 4

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This paper cites A public domain dataset for human activity recognition using smartphones.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA A public domain dataset for human activity recognition using smartphones

Reference 5

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This paper cites On the equivalence of oja’s algorithm and grouse.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA On the equivalence of oja’s algorithm and grouse

Reference 6

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This paper cites Online identification and tracking of subspaces from highly incomplete information.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Online identification and tracking of subspaces from highly incomplete information

Reference 7

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Unresolved cited work

Reference 8

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This paper cites On subsampling estimators with unknown rate of convergence.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA On subsampling estimators with unknown rate of convergence

Reference 9

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This paper cites On the choice of m in the m out of n bootstrap and confidence bounds for extrema.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA On the choice of m in the m out of n bootstrap and confidence bounds for extrema

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:30.345200Z

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This paper cites Bickel, Friedrich G \"o tze, and Willem van Zwet.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Bickel, Friedrich G \"o tze, and Willem van Zwet

Reference 11

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Unresolved cited work

Reference 12

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This paper cites Signal-plus-noise matrix models: eigenvector deviations and fluctuations.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Signal-plus-noise matrix models: eigenvector deviations and fluctuations

Reference 13

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This paper cites Statistical inference for online algorithms.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Statistical inference for online algorithms

Reference 14

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This paper cites On differentially private u statistics.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA On differentially private u statistics

Reference 15

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Observation 9f3116c7-7852-4f0a-8ac4-c36c44c5ced5 · outbound

This paper cites plus/minus the learning rate.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA plus/minus the learning rate

Reference 16

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This paper cites Dimensionality reduction for stationary time series via stochastic nonconvex optimization.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Dimensionality reduction for stationary time series via stochastic nonconvex optimization

Reference 17

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Observation 6b07ccfe-ed6c-4d84-ad6a-bf72e15efc86 · outbound

This paper cites Lee, Xin T.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Lee, Xin T

Reference 18

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This paper cites Central limit theorems and bootstrap in high dimensions.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Central limit theorems and bootstrap in high dimensions

Reference 19

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This paper cites Detailed proof of Nazarov's inequality.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Detailed proof of Nazarov's inequality

Reference 20

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This paper cites Scalable dp-sgd: Shuffling vs.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Scalable dp-sgd: Shuffling vs

Reference 21

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Unresolved cited work

Reference 22

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Unresolved cited work

Reference 23

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This paper cites Tibshirani.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Tibshirani

Reference 24

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This paper cites Unperturbed: spectral analysis beyond davis-kahan.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Unperturbed: spectral analysis beyond davis-kahan

Reference 25

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This paper cites Online bootstrap confidence intervals for the stochastic gradient descent estimator.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Online bootstrap confidence intervals for the stochastic gradient descent estimator

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:27.472110Z

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Observation dfdeafc1-411d-4b24-977b-bf62e3a6adad · outbound

This paper cites The Bootstrap and Edgeworth Expansion.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA The Bootstrap and Edgeworth Expansion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:27.095069Z

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Observation 1927fd3f-04ca-4271-bc39-02099828f891 · outbound

This paper cites The organization of behavior: A neuropsychological theory.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA The organization of behavior: A neuropsychological theory

Reference 28

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Observation ec0a4fbc-4d47-4d2c-86a4-86028288fcff · outbound

This paper cites AdaOja: Adaptive Learning Rates for Streaming PCA.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA AdaOja: Adaptive Learning Rates for Streaming PCA

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:54:18.637985Z

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Observation 8f4b011a-85aa-4c21-889b-181d863514b0 · outbound

This paper cites Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:54:18.380739Z

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This paper cites Matrix concentration for products.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Matrix concentration for products

Reference 31

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Observation 29964e68-23af-4889-a2d8-2de6418a6b9f · outbound

This paper cites Low-rank matrix completion using alternating minimization.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Low-rank matrix completion using alternating minimization

Reference 32

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Observation a72541e6-b32d-437e-b607-966d57778f41 · outbound

This paper cites Streaming PCA : Matching matrix bernstein and near-optimal finite sample guarantees for Oja's algorithm.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Streaming PCA : Matching matrix bernstein and near-optimal finite sample guarantees for Oja's algorithm

Reference 33

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Observation 2c7d82f4-22e7-4cc0-857f-7e9ead0d98a7 · outbound

This paper cites Black-box k-to-1-pca reductions: Theory and applications.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Black-box k-to-1-pca reductions: Theory and applications

Reference 34

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Observation fdb75a89-7b4f-4891-a7e9-9d81487dd70d · outbound

This paper cites On Concentration Inequalities for Random Matrix Products.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA On Concentration Inequalities for Random Matrix Products

Reference 35

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This paper cites Matrix completion from a few entries.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Matrix completion from a few entries

Reference 36

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Unresolved cited work

Reference 37

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Observation 493f9a98-ca1e-4906-b707-c9471086ef01 · outbound

This paper cites Streaming pca for markovian data.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Streaming pca for markovian data

Reference 38

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Observation a333b449-095b-4020-bcc6-9607700d90ee · outbound

This paper cites Oja's algorithm for streaming sparse pca.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Oja's algorithm for streaming sparse pca

Reference 39

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This paper cites Gradient-based learning applied to document recognition.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Gradient-based learning applied to document recognition

Reference 40

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Fast and robust online inference with stochastic gradient descent via random scaling

Reference 41

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This paper cites Subsampling scaling.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Subsampling scaling

Reference 42

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This paper cites Statistical inference using sgd.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Statistical inference using sgd

Reference 43

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Observation 0a56d0f1-a7fb-489a-a52e-ac8f82c42721 · outbound

This paper cites Stochastic approximation and optimization of random systems.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Stochastic approximation and optimization of random systems

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:23.487070Z

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Observation 22de7c50-076c-4401-bd98-298e1083a6d3 · outbound

This paper cites Bootstrapping the error of oja's algorithm.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Bootstrapping the error of oja's algorithm

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:23.196765Z

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This paper cites Estimating mixed memberships with sharp eigenvector deviations.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Estimating mixed memberships with sharp eigenvector deviations

Reference 46

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This paper cites Stochastic approximation of eigenvectors and eigenvalues of the q-symmetric expectation of a random matrix.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Stochastic approximation of eigenvectors and eigenvalues of the q-symmetric expectation of a random matrix

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:22.879220Z

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Observation 5da2a10f-1246-4a80-a90d-383c958021c7 · outbound

This paper cites On the maximal perimeter of a convex set in \( R ^n \) with respect to a gaussian measure.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA On the maximal perimeter of a convex set in \( R ^n \) with respect to a gaussian measure

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:22.607518Z

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Observation c2cc1312-aa9e-4e1d-808e-9f6cbd687021 · outbound

This paper cites Problem complexity and method efficiency in optimization.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Problem complexity and method efficiency in optimization

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:22.351016Z

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Observation 8b3d3ece-35f8-48a0-998c-4906ba2fb5ab · outbound

This paper cites Simplified neuron model as a principal component analyzer.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Simplified neuron model as a principal component analyzer

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:22.062645Z

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Observation 54858f98-6cf0-4ab8-a230-9a3241ea56df · outbound

This paper cites On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:21.786522Z

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Observation 98872486-6ae6-4de5-a442-45b8a8d901f7 · outbound

This paper cites Principal components analysis.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Principal components analysis

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:21.567294Z

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Observation 9bfaaea6-f026-495a-95d2-11175964c3cf · outbound

This paper cites Scalable subsampling: computation, aggregation and inference.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Scalable subsampling: computation, aggregation and inference

Reference 53

Resolution: verified exact; doi, observed 2026-08-07T00:54:17.628534Z

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Observation b2a533ae-9531-47ea-ac12-90076d5419d3 · outbound

This paper cites Politis, Joseph P.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Politis, Joseph P

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:21.265226Z

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Unresolved cited work

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Spectral guarantees for adversarial streaming pca

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Online bootstrap inference for policy evaluation in reinforcement learning

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This paper cites Efficient estimations from a slowly convergent robbins-monro process.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Efficient estimations from a slowly convergent robbins-monro process

Reference 58

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Using the m out of n bootstrap in hypothesis testing

Reference 59

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Unresolved cited work

Reference 60

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Su and Yuancheng Zhu

Reference 61

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Asymptotic statistics

Reference 62

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Introduction to the non-asymptotic analysis of random matrices

Reference 63

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This paper cites High-dimensional probability: An introduction with applications in data science, volume 47.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA High-dimensional probability: An introduction with applications in data science, volume 47

Reference 64

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA High-dimensional statistics: A non-asymptotic viewpoint, volume 48

Reference 65

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Perturbation bounds in connection with singular value decomposition

Reference 66

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This paper cites History PCA: A New Algorithm for Streaming PCA.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA History PCA: A New Algorithm for Streaming PCA

Reference 67

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Unresolved cited work

Reference 68

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This paper cites Online Bootstrap Inference with Nonconvex Stochastic Gradient Descent Estimator.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Online Bootstrap Inference with Nonconvex Stochastic Gradient Descent Estimator

Reference 69

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This paper cites Online covariance matrix estimation in stochastic gradient descent.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Online covariance matrix estimation in stochastic gradient descent

Reference 70

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This paper cites High confidence level inference is almost free using parallel stochastic optimization.

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA High confidence level inference is almost free using parallel stochastic optimization

Reference 71

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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Principal component analysis

Reference 72

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