Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA | Paper Citation Record

Observation e6e2a191-98de-446b-8b1b-1cfa9c2015cb · outbound

This paper cites Robust principal component analysis?.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Robust principal component analysis?

Reference 1

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This paper cites Matrix and tensor completion algorithms for background model initialization: A comparative evaluation,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Matrix and tensor completion algorithms for background model initialization: A comparative evaluation,

Reference 2

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This paper cites A novel anomaly detection scheme based on principal component classifier,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA A novel anomaly detection scheme based on principal component classifier,

Reference 3

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This paper cites On the applications of robust PCA in image and video processing,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA On the applications of robust PCA in image and video processing,

Reference 4

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This paper cites Tensor decompositions and applications,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Tensor decompositions and applications,

Reference 5

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This paper cites Tensor decomposition for signal processing and machine learning,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Tensor decomposition for signal processing and machine learning,

Reference 6

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Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Unresolved cited work

Reference 7

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This paper cites Tensor robust principal component analysis: Exact recovery of corrupted low-rank tensors via convex optimization,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Tensor robust principal component analysis: Exact recovery of corrupted low-rank tensors via convex optimization,

Reference 8

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This paper cites Novel methods for multilinear data completion and de-noising based on tensor-svd,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Novel methods for multilinear data completion and de-noising based on tensor-svd,

Reference 9

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This paper cites Tensor robust principal component analysis with a new tensor nuclear norm,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Tensor robust principal component analysis with a new tensor nuclear norm,

Reference 10

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This paper cites Foundations of the parafac procedure: Models and conditions for an “explanatory.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Foundations of the parafac procedure: Models and conditions for an “explanatory

Reference 11

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This paper cites Tensor rank and the ill-posedness of the best low-rank approximation problem,.

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Reference 12

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This paper cites Some mathematical notes on three-mode factor analysis,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Some mathematical notes on three-mode factor analysis,

Reference 13

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This paper cites Square deal: Lower bounds and improved relaxations for tensor recovery,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Square deal: Lower bounds and improved relaxations for tensor recovery,

Reference 14

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This paper cites Tree adaptive approximation in the hier- archical tensor format,.

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Reference 15

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This paper cites Tensor-train decomposition,.

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Reference 16

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This paper cites Tensor Ring Decomposition.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Tensor Ring Decomposition

Reference 17

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This paper cites Facial recog- nition using tensor-tensor decompositions,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Facial recog- nition using tensor-tensor decompositions,

Reference 18

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This paper cites Outlier-robust tensor PCA,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Outlier-robust tensor PCA,

Reference 19

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This paper cites Lateral-slice sparse tensor robust principal component analysis for hyperspectral image classification,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Lateral-slice sparse tensor robust principal component analysis for hyperspectral image classification,

Reference 20

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This paper cites Tensor–tensor products with invertible linear transforms,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Tensor–tensor products with invertible linear transforms,

Reference 21

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This paper cites Fourth-order Tensors with Multidimensional Discrete Transforms.

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Reference 22

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This paper cites A Fast Algorithm for Cosine Transform Based Tensor Singular Value Decomposition.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA A Fast Algorithm for Cosine Transform Based Tensor Singular Value Decomposition

Reference 23

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Observation 93ba2b32-f723-4b0b-8a97-554422f8fde2 · outbound

This paper cites Robust tensor completion using transformed tensor singular value decomposition,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Robust tensor completion using transformed tensor singular value decomposition,

Reference 24

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This paper cites Dictionary learning with low-rank coding coefficients for tensor completion,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Dictionary learning with low-rank coding coefficients for tensor completion,

Reference 25

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This paper cites The twist tensor nuclear norm for video completion,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA The twist tensor nuclear norm for video completion,

Reference 26

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This paper cites Improved robust tensor principal com- ponent analysis via low-rank core matrix,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Improved robust tensor principal com- ponent analysis via low-rank core matrix,

Reference 27

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This paper cites Mixed noise removal in hyperspectral image via low-fibered-rank regularization,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Mixed noise removal in hyperspectral image via low-fibered-rank regularization,

Reference 28

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This paper cites Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm,

Reference 29

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This paper cites Weighted tensor nuclear norm minimization for tensor completion using tensor-SVD,.

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Reference 30

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This paper cites t-Schatten- p norm for low-rank tensor recovery,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA t-Schatten- p norm for low-rank tensor recovery,

Reference 31

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This paper cites Enhanced tensor RPCA and its application,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Enhanced tensor RPCA and its application,

Reference 32

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This paper cites Low-rank tensor com- pletion based on self-adaptive learnable transforms,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Low-rank tensor com- pletion based on self-adaptive learnable transforms,

Reference 33

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This paper cites Generalized nonconvex approach for low-tubal-rank tensor recovery,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Generalized nonconvex approach for low-tubal-rank tensor recovery,

Reference 34

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This paper cites Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery,

Reference 35

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This paper cites Low-rank high-order tensor completion with applications in visual data,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Low-rank high-order tensor completion with applications in visual data,

Reference 36

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This paper cites Multiplex trans- formed tensor decomposition for multidimensional image recovery,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Multiplex trans- formed tensor decomposition for multidimensional image recovery,

Reference 37

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This paper cites Revisiting high-order tensor singular value decomposition from basic element perspective,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Revisiting high-order tensor singular value decomposition from basic element perspective,

Reference 38

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This paper cites Tensor factorization for low-rank tensor completion,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Tensor factorization for low-rank tensor completion,

Reference 39

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This paper cites Unifying tensor factorization and tensor nuclear norm approaches for low-rank tensor completion,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Unifying tensor factorization and tensor nuclear norm approaches for low-rank tensor completion,

Reference 40

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Observation f2d51005-8b4a-4b80-8a42-c6a488de5d10 · outbound

This paper cites Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent

Reference 41

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This paper cites A faster tensor robust PCA via tensor factorization,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA A faster tensor robust PCA via tensor factorization,

Reference 42

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Observation 85e3379a-1f19-4303-919a-035afef86bfb · outbound

This paper cites Accelerating ill-conditioned low-rank matrix estimation via scaled gradient descent,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Accelerating ill-conditioned low-rank matrix estimation via scaled gradient descent,

Reference 43

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This paper cites Fast and provable tensor robust principal component analysis via scaled gradient descent,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Fast and provable tensor robust principal component analysis via scaled gradient descent,

Reference 44

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Observation 61c38c3f-1a56-46d8-91db-3816052696b9 · outbound

This paper cites Learned robust PCA: A scalable deep unfolding approach for high-dimensional outlier detection,.

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Reference 45

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This paper cites Deep unfolded tensor robust PCA with self-supervised learning,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Deep unfolded tensor robust PCA with self-supervised learning,

Reference 46

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Observation 5f36b2b2-e38e-4a82-ac2a-c7c02c2aa3ba · outbound

This paper cites Bayesian CP factorization of incomplete tensors with automatic rank determination,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Bayesian CP factorization of incomplete tensors with automatic rank determination,

Reference 47

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Observation f16c410e-f578-4216-be34-7ccf7e4f81c8 · outbound

This paper cites Factorization strategies for third-order tensors,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Factorization strategies for third-order tensors,

Reference 48

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This paper cites Robust block tensor principal component analysis,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Robust block tensor principal component analysis,

Reference 49

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Observation 111e40c8-87c1-4763-99b7-3556b19004ca · outbound

This paper cites Exact tensor completion using t-SVD,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Exact tensor completion using t-SVD,

Reference 50

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Observation 83e15829-7732-4ff0-a54f-0e63ba1640de · outbound

This paper cites Guaranteed tensor recovery fused low-rankness and smoothness,.

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Reference 51

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Observation e36abbf1-a297-4e88-b5f7-f3e349785f6e · outbound

This paper cites Deep unfolded robust PCA with application to clutter suppression in ultrasound,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Deep unfolded robust PCA with application to clutter suppression in ultrasound,

Reference 52

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Observation 3de1b111-5dbc-4613-a58d-91b28502fc36 · outbound

This paper cites A deep-unfolded reference-based RPCA network for video foreground- background separation,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA A deep-unfolded reference-based RPCA network for video foreground- background separation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.984605Z

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Observation 2b170e4b-4733-42a2-ab1a-61d0e7fcd3de · outbound

This paper cites Interpretable neural networks for video separation: Deep unfolding RPCA with foreground masking,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Interpretable neural networks for video separation: Deep unfolding RPCA with foreground masking,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.970765Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fb01d597-0a76-43c5-91d2-e1db1fca93ba · outbound

This paper cites RPCANet: Deep unfolding RPCA based infrared small target detection,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA RPCANet: Deep unfolding RPCA based infrared small target detection,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.955203Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0b46783e-1b6b-463d-b423-f5f3d0b01bf9 · outbound

This paper cites Denise: Deep learning based robust PCA for positive semidefinite matrices,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Denise: Deep learning based robust PCA for positive semidefinite matrices,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.934548Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3ecaeb84-ef74-48f9-9e3b-dfced7e4563d · outbound

This paper cites Robust tensor CUR decompositions: Rapid low-tucker-rank tensor recovery with sparse corruptions,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Robust tensor CUR decompositions: Rapid low-tucker-rank tensor recovery with sparse corruptions,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.907357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4fb2809b-5ce4-4d2a-aaf9-a29337a5aca5 · outbound

This paper cites Scene background initialization: A taxonomy,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Scene background initialization: A taxonomy,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.887147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 263b50c6-fe12-4fbd-b75e-f86fa8e2bef5 · outbound

This paper cites Extensive benchmark and survey of modeling methods for scene background initialization,.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Extensive benchmark and survey of modeling methods for scene background initialization,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.868705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1efa00ac-2d3d-4621-88fa-67715f85604f · outbound

This paper cites Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T21:37:15.376587Z

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Unavailable: canonical work link unavailable.

Observation da51d050-8f00-4950-8302-05307c617eed · outbound

This paper cites He was the recipient of the IEEE Signal Processing Society Young Author Best Paper Award in.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA He was the recipient of the IEEE Signal Processing Society Young Author Best Paper Award in

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.815112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b7e8612-19f9-4eaf-b20a-756178ad9f11 · outbound

This paper cites The first term tr(∆L ∗ Σ⋆ ∗ ∆⊤ L ) is closely related to dist(Lk, Rk; L⋆, R⋆), so we will focus on relating M1 and M2 to dist(Lk, Rk; L⋆, R⋆).

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA The first term tr(∆L ∗ Σ⋆ ∗ ∆⊤ L ) is closely related to dist(Lk, Rk; L⋆, R⋆), so we will focus on relating M1 and M2 to dist(Lk, Rk; L⋆, R⋆)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.781878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 183e7b64-08a2-492f-b3d8-f7641d1594b3 · outbound

This paper cites an unresolved cited work.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:37:15.766487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 29bd3ee5-216d-47a8-b111-8084c25c7516 · outbound

This paper cites IEEE JOURNAL, VOL.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA IEEE JOURNAL, VOL

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.749671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 60f9c3a2-f92e-486b-9bfd-19b7818a2d4c · outbound

This paper cites an unresolved cited work.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:37:15.736637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation daa3dd99-19ba-4e78-aeca-51d9baa73fc2 · outbound

This paper cites Lemma 13.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Lemma 13

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.717393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 37215b59-dedf-4432-8b7a-a0e6bdce8a8a · outbound

This paper cites an unresolved cited work.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:37:15.693474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7a9f0382-f4eb-472f-bc2d-8be1739e12b3 · outbound

This paper cites Together, we have T2 ≤ η∥L⋆ ∗ Σ −1/2 ⋆ ∥2,∞∥∆R ∗ Σ 1/2 ⋆ ∥2∥R♮ ∗ (R⊤ ♮ ∗ R♮)−1 ∗ Σ 1/2 ⋆ ∥2 ≤ η ε 1 − ε r µR I1 τ kσmin(X⋆).

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Together, we have T2 ≤ η∥L⋆ ∗ Σ −1/2 ⋆ ∥2,∞∥∆R ∗ Σ 1/2 ⋆ ∥2∥R♮ ∗ (R⊤ ♮ ∗ R♮)−1 ∗ Σ 1/2 ⋆ ∥2 ≤ η ε 1 − ε r µR I1 τ kσmin(X⋆)

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.676750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ba22cc0d-55a7-4602-8536-4d66cd21aad9 · outbound

This paper cites Thus, by Lemma 5, Lemma 3 and 11, we get T3 ≤ η∥∆S ∥2,∞∥R♮ ∗ (R⊤ ♮ ∗ R♮)−1 ∗ Σ 1/2 ⋆ ∥2 ≤ η √αI2I3 1 − ε ∥∆S ∥∞ ≤ 2η √αI2I3 1 − ε ζk+1 ≤ 6η √αI3 1 − ε 1√I1 µRτ kσmin(X⋆).

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Thus, by Lemma 5, Lemma 3 and 11, we get T3 ≤ η∥∆S ∥2,∞∥R♮ ∗ (R⊤ ♮ ∗ R♮)−1 ∗ Σ 1/2 ⋆ ∥2 ≤ η √αI2I3 1 − ε ∥∆S ∥∞ ≤ 2η √αI2I3 1 − ε ζk+1 ≤ 6η √αI3 1 − ε 1√I1 µRτ kσmin(X⋆)

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.652596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b9a934b8-76f9-48c6-abeb-049ac9935ae9 · outbound

This paper cites an unresolved cited work.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:37:15.631042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 36397379-fd71-48e1-afda-865b96ca3015 · outbound

This paper cites The proof is concluded by substituting τ = 1 − 0.6η.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA The proof is concluded by substituting τ = 1 − 0.6η

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.615320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cf4949c7-072d-47b6-a6d6-ba19e8599f83 · outbound

This paper cites Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.801878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0308512d-679b-4639-bd22-f6cc4be68271 · outbound

This paper cites IEEE JOURNAL, VOL.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA IEEE JOURNAL, VOL

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.831018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 983d89e2-ff0f-49ce-aebe-54bfde5fe106 · outbound

This paper cites Tensor Computation for Data Analysis.

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Tensor Computation for Data Analysis

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:37:15.851974Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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