Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer | Paper Citation Record

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This paper cites Sobolev spaces.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Sobolev spaces

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This paper cites Predicting with proxies: Transfer learning in high dimension.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Predicting with proxies: Transfer learning in high dimension

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This paper cites On regularization algorithms in learning theory.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer On regularization algorithms in learning theory

Reference 3

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This paper cites Optimal rates for regularization of statistical inverse learning problems.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Optimal rates for regularization of statistical inverse learning problems

Reference 4

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This paper cites Gagliardo-nirenberg, composition and products in fractional sobolev spaces.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Gagliardo-nirenberg, composition and products in fractional sobolev spaces

Reference 5

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This paper cites Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure

Reference 6

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This paper cites Transfer learning for nonparametric classification: Minimax rate and adaptive classifier.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Transfer learning for nonparametric classification: Minimax rate and adaptive classifier

Reference 7

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This paper cites Semi-supervised triply robust inductive transfer learning.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Semi-supervised triply robust inductive transfer learning

Reference 8

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This paper cites Optimal rates for regularization operators in learning theory.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Optimal rates for regularization operators in learning theory

Reference 9

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This paper cites Optimal rates for the regularized least-squares algorithm.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Optimal rates for the regularized least-squares algorithm

Reference 10

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This paper cites Besov spaces on domains in r\^ \ d \.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Besov spaces on domains in r\^ \ d \

Reference 11

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This paper cites Kernel ridge vs.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Kernel ridge vs

Reference 12

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This paper cites Nonparametric stochastic approximation with large step-sizes.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Nonparametric stochastic approximation with large step-sizes

Reference 13

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This paper cites Hypothesis transfer learning via transformation functions.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Hypothesis transfer learning via transformation functions

Reference 14

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This paper cites Optimal regression rates for svms using gaussian kernels.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Optimal regression rates for svms using gaussian kernels

Reference 15

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This paper cites Reproducing kernels of generalized sobolev spaces via a green function approach with distributional operators.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Reproducing kernels of generalized sobolev spaces via a green function approach with distributional operators

Reference 16

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This paper cites Sobolev norm learning rates for regularized least-squares algorithms.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Sobolev norm learning rates for regularized least-squares algorithms

Reference 17

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This paper cites Empirical Processes in M-estimation, volume 6.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Empirical Processes in M-estimation, volume 6

Reference 18

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This paper cites Spectral algorithms for supervised learning.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Spectral algorithms for supervised learning

Reference 19

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This paper cites Adaptive learning rates for support vector machines working on data with low intrinsic dimension.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Adaptive learning rates for support vector machines working on data with low intrinsic dimension

Reference 20

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This paper cites Optimal parameter-transfer learning by semiparametric model averaging.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Optimal parameter-transfer learning by semiparametric model averaging

Reference 21

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This paper cites Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences

Reference 22

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This paper cites Marginal singularity and the benefits of labels in covariate-shift.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Marginal singularity and the benefits of labels in covariate-shift

Reference 23

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This paper cites Stability and hypothesis transfer learning.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Stability and hypothesis transfer learning

Reference 24

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This paper cites Fast rates by transferring from auxiliary hypotheses.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Fast rates by transferring from auxiliary hypotheses

Reference 25

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This paper cites Near-optimal linear regression under distribution shift.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Near-optimal linear regression under distribution shift

Reference 26

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This paper cites A first course in fractional Sobolev spaces, volume 229.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer A first course in fractional Sobolev spaces, volume 229

Reference 27

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This paper cites On a problem of adaptive estimation in gaussian white noise.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer On a problem of adaptive estimation in gaussian white noise

Reference 28

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This paper cites Transfer learning for high-dimensional linear regression: Prediction, estimation and minimax optimality.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Transfer learning for high-dimensional linear regression: Prediction, estimation and minimax optimality

Reference 29

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This paper cites Transfer learning in large-scale gaussian graphical models with false discovery rate control.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Transfer learning in large-scale gaussian graphical models with false discovery rate control

Reference 30

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This paper cites On the saturation effect of kernel ridge regression.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer On the saturation effect of kernel ridge regression

Reference 31

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This paper cites Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay

Reference 32

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This paper cites On hypothesis transfer learning of functional linear models.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer On hypothesis transfer learning of functional linear models

Reference 33

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Observation 48e874b4-a409-45db-a56b-aad623ba1a0f · outbound

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Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Smoothness adaptive hypothesis transfer learning

Reference 34

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This paper cites Optimal convergence for distributed learning with stochastic gradient methods and spectral algorithms.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Optimal convergence for distributed learning with stochastic gradient methods and spectral algorithms

Reference 35

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This paper cites Optimal rates for spectral algorithms with least-squares regression over hilbert spaces.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Optimal rates for spectral algorithms with least-squares regression over hilbert spaces

Reference 36

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This paper cites Distributed learning with regularized least squares.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Distributed learning with regularized least squares

Reference 37

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Observation c932069a-d849-4e50-b4a9-793671774a21 · outbound

This paper cites Augmented transfer regression learning with semi-non-parametric nuisance models.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Augmented transfer regression learning with semi-non-parametric nuisance models

Reference 38

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Observation 9b669103-ced7-4c85-b61e-ad0e47c40f04 · outbound

This paper cites Estimating posterior ratio for classification: Transfer learning from probabilistic perspective.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Estimating posterior ratio for classification: Transfer learning from probabilistic perspective

Reference 39

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This paper cites Optimally tackling covariate shift in rkhs-based nonparametric regression.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Optimally tackling covariate shift in rkhs-based nonparametric regression

Reference 40

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Observation b7ef3218-1fa3-47bf-adcc-f648064e2d89 · outbound

This paper cites Minimax optimal approaches to the label shift problem in non-parametric settings.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Minimax optimal approaches to the label shift problem in non-parametric settings

Reference 41

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This paper cites A linear adjustment-based approach to posterior drift in transfer learning.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer A linear adjustment-based approach to posterior drift in transfer learning

Reference 42

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Observation fec6f079-1a78-4261-91e8-d3aba8c4ef7c · outbound

This paper cites Regularization in kernel learning.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Regularization in kernel learning

Reference 43

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Observation 7a2a1f0c-fc49-4909-813f-a853417f367c · outbound

This paper cites Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms

Reference 44

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Observation 3d1c9e80-d774-4e28-84b4-44a7514ae975 · outbound

This paper cites A general class of transfer learning regression without implementation cost.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer A general class of transfer learning regression without implementation cost

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:39.278631Z

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Observation 7007db8a-4b0f-4f55-9629-8c5a64faf02b · outbound

This paper cites Transfer learning with affine model transformation.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Transfer learning with affine model transformation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:39.241250Z

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Observation 6a116b5b-05e1-4d88-b489-7df6d6b4dbf5 · outbound

This paper cites Beating sgd saturation with tail-averaging and minibatching.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Beating sgd saturation with tail-averaging and minibatching

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:39.120178Z

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Observation 41df8914-63b7-4229-9f6f-14a4b5916865 · outbound

This paper cites A survey on transfer learning.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer A survey on transfer learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.934312Z

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Observation 633f1c5d-af51-402a-b58c-4bff24ba113f · outbound

This paper cites Statistical optimality of stochastic gradient descent on hard learning problems through multiple passes.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Statistical optimality of stochastic gradient descent on hard learning problems through multiple passes

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.793801Z

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Observation f0a281c2-eb41-4363-9989-217cf4df779b · outbound

This paper cites Inverse learning in hilbert scales.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Inverse learning in hilbert scales

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.777259Z

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Observation 777c0999-d7d7-4fe1-b0b2-3ed6959574ff · outbound

This paper cites Optimal rates for the regularized learning algorithms under general source condition.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Optimal rates for the regularized learning algorithms under general source condition

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.761049Z

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Observation e4a05e25-bab9-4ee1-bbdc-691addff4f0e · outbound

This paper cites Adaptive transfer learning.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Adaptive transfer learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.743904Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fafc0ef7-05db-4fb0-94b0-40ca499ac2d1 · outbound

This paper cites Spectral methods for regularization in learning theory.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Spectral methods for regularization in learning theory

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.722928Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation af021c61-167b-4fb0-a145-65b78d1b89a2 · outbound

This paper cites Mapping properties of non-linear operators in spaces of triebel-lizorkin and besov type.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Mapping properties of non-linear operators in spaces of triebel-lizorkin and besov type

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.707481Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ae9d0fc-28e8-4a30-af6c-c9f9921e791a · outbound

This paper cites A generalized representer theorem.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer A generalized representer theorem

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T18:58:37.193698Z

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Observation ba30f138-e834-468a-b7c2-692e46064e09 · outbound

This paper cites A generalized neyman-pearson criterion for optimal domain adaptation.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer A generalized neyman-pearson criterion for optimal domain adaptation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.576404Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 013735ca-883b-477c-8f0e-f6a53210268d · outbound

This paper cites Learning theory estimates via integral operators and their approximations.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Learning theory estimates via integral operators and their approximations

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T18:58:37.203908Z

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Observation f730bfe3-9397-4fbc-a0b0-91312046cb12 · outbound

This paper cites Interpolation of spatial data: some theory for kriging.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Interpolation of spatial data: some theory for kriging

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.464141Z

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Observation e1dda6cb-aa20-4893-958f-98c4b1342f2c · outbound

This paper cites Support vector machines.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Support vector machines

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T18:58:37.212130Z

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Observation e96aaf7d-6386-43ff-8e06-88d31ae0f91c · outbound

This paper cites Optimal rates for regularized least squares regression.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Optimal rates for regularized least squares regression

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.330728Z

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Observation c1ba4adc-ab79-403d-9ac0-cb721839cd4a · outbound

This paper cites Optimal global rates of convergence for nonparametric regression.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Optimal global rates of convergence for nonparametric regression

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.276086Z

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Observation 5323b96d-745c-4771-8ecb-99eba2d16023 · outbound

This paper cites Transfer learning under high-dimensional generalized linear models.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Transfer learning under high-dimensional generalized linear models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.258107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 93fa8f1e-b19c-48bc-a09f-6d12beb6cc99 · outbound

This paper cites Unsupervised multi-task and transfer learning on gaussian mixture models.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Unsupervised multi-task and transfer learning on gaussian mixture models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T18:58:37.227553Z

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Observation c5c8139d-2d92-4154-8d2a-c37df0e3a456 · outbound

This paper cites Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T18:58:37.267418Z

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Observation 52db5503-4511-4003-a949-ce3db79bf68b · outbound

This paper cites Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T18:58:37.351130Z

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Observation abc30901-e2cc-4d53-a4db-a2316ba2580e · outbound

This paper cites Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.243266Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32cbfccd-d87a-47d0-a3dd-650f1603810e · outbound

This paper cites Flexible transfer learning under support and model shift.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Flexible transfer learning under support and model shift

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.227713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 48bbec25-e642-4fac-b099-c2f2b913bb76 · outbound

This paper cites Generalization bounds for transfer learning under model shift.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Generalization bounds for transfer learning under model shift

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.210124Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 93507047-b107-4662-956c-bd2a65f6ff54 · outbound

This paper cites Nonparametric risk and stability analysis for multi-task learning problems.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Nonparametric risk and stability analysis for multi-task learning problems

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.195090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cbd83abf-5611-4cdc-bead-19e94c9c1602 · outbound

This paper cites Scattered data approximation, volume 17.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Scattered data approximation, volume 17

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.154233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58d3935e-7abd-4979-a5ff-50e4cf8b26be · outbound

This paper cites How transferable are features in deep neural networks? Advances in neural information processing systems, 27, 2014.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer How transferable are features in deep neural networks? Advances in neural information processing systems, 27, 2014

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T18:58:37.661019Z

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Observation 0e47ede6-6f1b-4ea4-bbdd-54220a85ddb4 · outbound

This paper cites On the Optimality of Misspecified Spectral Algorithms.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer On the Optimality of Misspecified Spectral Algorithms

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T18:58:37.666654Z

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Observation bff38b40-7a04-4fa0-8df1-5ab7430ee71d · outbound

This paper cites A class of geometric structures in transfer learning: Minimax bounds and optimality.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer A class of geometric structures in transfer learning: Minimax bounds and optimality

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.106612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 31ee6e9b-b3ac-4d8e-95d6-2ec13360c46f · outbound

This paper cites Divide and conquer kernel ridge regression: A distributed algorithm with minimax optimal rates.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Divide and conquer kernel ridge regression: A distributed algorithm with minimax optimal rates

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:38.007233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e43565c-8c23-44ef-aa6e-f42dba3074ab · outbound

This paper cites Domain Adaptation Targeting Heterogeneous and Imbalanced Subgroups.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Domain Adaptation Targeting Heterogeneous and Imbalanced Subgroups

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T18:58:37.685013Z

Source-reported events for the cited work

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Observation e33aaa25-fb77-4d54-a379-787eb7a8d72c · outbound

This paper cites Doubly robust augmented model accuracy transfer inference with high dimensional features.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer Doubly robust augmented model accuracy transfer inference with high dimensional features

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:37.956806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3605537e-4d2e-496a-8d07-9de430ca5844 · outbound

This paper cites A comprehensive survey on transfer learning.

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer A comprehensive survey on transfer learning

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:58:37.914219Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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