Paper Citation Record · LEDGER

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization

As of 10 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2605.30059.

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pith.paper-citation-record.v1
2605.30059 v1

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measured 46 of 46 reference resolution

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Outbound references

Observation fabff40e-5a4f-4c10-8e63-5160c14cc6a5 · outbound

This paper cites Ridge regression: Biased estimation for nonorthogonal problems.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Ridge regression: Biased estimation for nonorthogonal problems

Reference 1

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Observation dc744433-a591-4671-bcfa-115781634ecd · outbound

This paper cites Generalizations of mean square error applied to ridge regression.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Generalizations of mean square error applied to ridge regression

Reference 2

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Observation 9551b8d1-40d3-4c7a-85da-669a2f673026 · outbound

This paper cites Further results on the mean square error of ridge regression.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Further results on the mean square error of ridge regression

Reference 3

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Unresolved cited work

Reference 4

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Observation 6e82f62c-d65e-40da-bd19-7eab215789ba · outbound

This paper cites Spectral methods for regularization in learning theory.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Spectral methods for regularization in learning theory

Reference 5

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Observation 3b34ec0a-68ff-421a-aece-55d03e7dedbf · outbound

This paper cites On regularization algorithms in learning theory.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization On regularization algorithms in learning theory

Reference 6

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This paper cites Lo Gerfo, Lorenzo Rosasco, Francesca Odone, Ernesto De Vito, and Alessandro Verri.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Lo Gerfo, Lorenzo Rosasco, Francesca Odone, Ernesto De Vito, and Alessandro Verri

Reference 7

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Observation 16a33d57-414b-4057-902c-c25b0ec24e3b · outbound

This paper cites On early stopping in gradient descent learning.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization On early stopping in gradient descent learning

Reference 8

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Observation 72580cb2-7378-4532-b3ab-3b64d4f54848 · outbound

This paper cites A continuous-time view of early stopping for least squares regression.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization A continuous-time view of early stopping for least squares regression

Reference 9

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Observation b7e43185-17cc-444d-bfaf-f41cc8cefdae · outbound

This paper cites Optimal adaptation for early stopping in statistical inverse problems.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Optimal adaptation for early stopping in statistical inverse problems

Reference 10

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Observation f5e0642f-c593-4c4d-984b-9340fe0d26c8 · outbound

This paper cites On Regularization via Early Stopping for Least Squares Regression.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization On Regularization via Early Stopping for Least Squares Regression

Reference 11

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Observation f3932742-7915-48ab-8a9a-71aa5629d708 · outbound

This paper cites Kernel ridge vs.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Kernel ridge vs

Reference 12

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Observation 68685695-7f14-40d4-9949-abecae1e66ad · outbound

This paper cites Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?

Reference 13

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Observation 69ea1205-e5df-4c1b-aa92-1b9bb0669523 · outbound

This paper cites On the saturation effects of spectral algorithms in large dimensions.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization On the saturation effects of spectral algorithms in large dimensions

Reference 14

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This paper cites A differential equation for modeling nes- terov’s accelerated gradient method: Theory and insights.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization A differential equation for modeling nes- terov’s accelerated gradient method: Theory and insights

Reference 15

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Observation 6b6b6794-2d27-4f46-894a-362ac528ad51 · outbound

This paper cites Adaptive restart for accelerated gradient schemes.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Adaptive restart for accelerated gradient schemes

Reference 16

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Observation 9ce97312-049c-49b8-90fe-372697072309 · outbound

This paper cites Monotonicity and restart in fast gradient methods.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Monotonicity and restart in fast gradient methods

Reference 17

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This paper cites Stochastic gradient descent as approx- imate bayesian inference.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Stochastic gradient descent as approx- imate bayesian inference

Reference 18

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Observation 57dbce51-04b3-4435-bc46-99b4a90b3b48 · outbound

This paper cites Implicit regularization or implicit conditioning? exact risk trajectories of sgd in high dimensions.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Implicit regularization or implicit conditioning? exact risk trajectories of sgd in high dimensions

Reference 19

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This paper cites The implicit regularization of stochastic gra- dient flow for least squares.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization The implicit regularization of stochastic gra- dient flow for least squares

Reference 20

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Observation c6df4074-b0b1-4403-811b-c566c703fe0a · outbound

This paper cites Foster, and Sham M.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Foster, and Sham M

Reference 21

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Implicit gradient regularization

Reference 22

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This paper cites Implicit regularization for deep neural networks driven by an ornstein-uhlenbeck like process.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Implicit regularization for deep neural networks driven by an ornstein-uhlenbeck like process

Reference 23

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Observation eeb73bc2-5a03-49c3-93b8-0589c24fe03d · outbound

This paper cites Diffusion with stochastic resetting.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Diffusion with stochastic resetting

Reference 24

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Observation 7c2cead6-2ffb-4039-81ca-b676b628748b · outbound

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Stochastic resetting and applications

Reference 25

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization First passage under restart

Reference 26

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Universal performance bounds of restart

Reference 27

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Constructing eﬀicient strategies for the process optimization by restart

Reference 28

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Observation 6bb4936f-312e-4f23-a186-c74b75d5129b · outbound

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Random search with resetting: a unified renewal approach

Reference 29

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Keidar, Ofir Blumer, Barak Hirshberg, and Shlomi Reuveni

Reference 30

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Sgdr: Stochastic gradient descent with warm restarts

Reference 31

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization The primacy bias in deep reinforcement learning

Reference 32

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Keidar, Shlomi Reuveni, and Barak Hirshberg

Reference 33

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Stochastic resetting mitigates latent gradient bias of sgd from label noise

Reference 34

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Non-stationary learning of neural networks with automatic soft pa- rameter reset

Reference 35

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This paper cites Gradient flow, laplace transforms, and infinitesimal steepest descent: Partial results and open directions.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Gradient flow, laplace transforms, and infinitesimal steepest descent: Partial results and open directions

Reference 36

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Unresolved cited work

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Gallager

Reference 38

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Schilling, Renming Song, and Zoran Vondraček

Reference 39

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Optimal shrinkage of eigenvalues in the spiked covariance model

Reference 40

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Bayesian interpolation

Reference 41

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Pattern recognition and machine learning

Reference 42

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This paper cites An Introduction to Statis- tical Learning: with Applications in R , volume 103 of Springer Texts in Statistics.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization An Introduction to Statis- tical Learning: with Applications in R , volume 103 of Springer Texts in Statistics

Reference 43

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Reference 44

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Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Principal components regression in exploratory statistical research

Reference 45

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This paper cites Truncated singular value decomposition solutions to discrete ill-posed prob- lems with ill-determined numerical rank.

Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization Truncated singular value decomposition solutions to discrete ill-posed prob- lems with ill-determined numerical rank

Reference 46

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