Importance Sampling for Nonlinear Models | Paper Citation Record

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This paper cites write newline.

Importance Sampling for Nonlinear Models write newline

Reference 1

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This paper cites On computing approximate Lewis weights.

Importance Sampling for Nonlinear Models On computing approximate Lewis weights

Reference 2

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This paper cites Blendenpik: Supercharging lapack's least-squares solver.

Importance Sampling for Nonlinear Models Blendenpik: Supercharging lapack's least-squares solver

Reference 3

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This paper cites Random fourier features for kernel ridge regression: Approximation bounds and statistical guarantees.

Importance Sampling for Nonlinear Models Random fourier features for kernel ridge regression: Approximation bounds and statistical guarantees

Reference 4

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This paper cites A universal sampling method for reconstructing signals with simple fourier transforms.

Importance Sampling for Nonlinear Models A universal sampling method for reconstructing signals with simple fourier transforms

Reference 5

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Importance Sampling for Nonlinear Models Unresolved cited work

Reference 6

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This paper cites Approximation of zonoids by zonotopes.

Importance Sampling for Nonlinear Models Approximation of zonoids by zonotopes

Reference 7

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This paper cites Notmnist dataset.

Importance Sampling for Nonlinear Models Notmnist dataset

Reference 8

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This paper cites Some properties of nonlinear adjoint operators.

Importance Sampling for Nonlinear Models Some properties of nonlinear adjoint operators

Reference 9

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This paper cites Importance sampling tree for large-scale empirical expectation.

Importance Sampling for Nonlinear Models Importance sampling tree for large-scale empirical expectation

Reference 10

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This paper cites and Derezinski, M.

Importance Sampling for Nonlinear Models and Derezinski, M

Reference 11

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This paper cites and Price, E.

Importance Sampling for Nonlinear Models and Price, E

Reference 12

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Importance Sampling for Nonlinear Models Unresolved cited work

Reference 13

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This paper cites and DeVore, R.

Importance Sampling for Nonlinear Models and DeVore, R

Reference 14

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Importance Sampling for Nonlinear Models Unresolved cited work

Reference 15

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This paper cites B., Musco, C., and Musco, C.

Importance Sampling for Nonlinear Models B., Musco, C., and Musco, C

Reference 16

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This paper cites and Mahoney, M.

Importance Sampling for Nonlinear Models and Mahoney, M

Reference 17

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This paper cites and Mahoney, M.

Importance Sampling for Nonlinear Models and Mahoney, M

Reference 18

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Importance Sampling for Nonlinear Models Unresolved cited work

Reference 19

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This paper cites W., and Muthukrishnan, S.

Importance Sampling for Nonlinear Models W., and Muthukrishnan, S

Reference 20

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This paper cites Fourier sparse leverage scores and approximate kernel learning.

Importance Sampling for Nonlinear Models Fourier sparse leverage scores and approximate kernel learning

Reference 21

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Importance Sampling for Nonlinear Models Unresolved cited work

Reference 22

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This paper cites High-dimensional covariance matrix estimation in approximate factor models1.

Importance Sampling for Nonlinear Models High-dimensional covariance matrix estimation in approximate factor models1

Reference 23

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This paper cites Core-sets: Updated survey.

Importance Sampling for Nonlinear Models Core-sets: Updated survey

Reference 24

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This paper cites and Musco, C.

Importance Sampling for Nonlinear Models and Musco, C

Reference 25

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This paper cites Active learning for single neuron models with lipschitz non-linearities.

Importance Sampling for Nonlinear Models Active learning for single neuron models with lipschitz non-linearities

Reference 26

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This paper cites M., Xingyu, X., Hegde, C., Musco, C., and Li, Y.

Importance Sampling for Nonlinear Models M., Xingyu, X., Hegde, C., Musco, C., and Li, Y

Reference 27

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This paper cites and Mahoney, M.

Importance Sampling for Nonlinear Models and Mahoney, M

Reference 28

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This paper cites Reliably learning the relu in polynomial time.

Importance Sampling for Nonlinear Models Reliably learning the relu in polynomial time

Reference 29

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This paper cites J., Erhan, D., Carrier, P.

Importance Sampling for Nonlinear Models J., Erhan, D., Carrier, P

Reference 30

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This paper cites and Eck, D.

Importance Sampling for Nonlinear Models and Eck, D

Reference 31

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This paper cites and Mazumdar, S.

Importance Sampling for Nonlinear Models and Mazumdar, S

Reference 32

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This paper cites a rdle, W., M \.

Importance Sampling for Nonlinear Models a rdle, W., M \

Reference 33

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This paper cites Direct estimation of the index coefficient in a single-index model.

Importance Sampling for Nonlinear Models Direct estimation of the index coefficient in a single-index model

Reference 34

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This paper cites Coresets for scalable bayesian logistic regression.

Importance Sampling for Nonlinear Models Coresets for scalable bayesian logistic regression

Reference 35

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This paper cites A., Needell, D., Rebrova, E., and Zare, A.

Importance Sampling for Nonlinear Models A., Needell, D., Rebrova, E., and Zare, A

Reference 36

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Importance Sampling for Nonlinear Models Unresolved cited work

Reference 37

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This paper cites M., Kanade, V., Shamir, O., and Kalai, A.

Importance Sampling for Nonlinear Models M., Kanade, V., Shamir, O., and Kalai, A

Reference 38

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Importance Sampling for Nonlinear Models and Fleuret, F

Reference 39

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Importance Sampling for Nonlinear Models and Schulman, L

Reference 40

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This paper cites Crafting papers on machine learning.

Importance Sampling for Nonlinear Models Crafting papers on machine learning

Reference 41

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This paper cites Machine learning with R: expert techniques for predictive modeling.

Importance Sampling for Nonlinear Models Machine learning with R: expert techniques for predictive modeling

Reference 42

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Importance Sampling for Nonlinear Models and Lee, J

Reference 43

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This paper cites H., Xu, Z., Zha, D., Tang, R.

Importance Sampling for Nonlinear Models H., Xu, Z., Zha, D., Tang, R

Reference 44

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Observation 7a7b471e-24d6-488f-90ae-691b9ac9fea2 · outbound

This paper cites Training gaussian mixture models at scale via coresets.

Importance Sampling for Nonlinear Models Training gaussian mixture models at scale via coresets

Reference 45

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Importance Sampling for Nonlinear Models Unresolved cited work

Reference 46

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Importance Sampling for Nonlinear Models Unresolved cited work

Reference 47

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This paper cites Coresets for classification--simplified and strengthened.

Importance Sampling for Nonlinear Models Coresets for classification--simplified and strengthened

Reference 48

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Importance Sampling for Nonlinear Models and Tropp, J

Reference 49

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This paper cites Is-count: Large-scale object counting from satellite images with covariate-based importance sampling.

Importance Sampling for Nonlinear Models Is-count: Large-scale object counting from satellite images with covariate-based importance sampling

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:09.922947Z

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This paper cites and Mahoney, M.

Importance Sampling for Nonlinear Models and Mahoney, M

Reference 51

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This paper cites Coresets for data-efficient training of machine learning models.

Importance Sampling for Nonlinear Models Coresets for data-efficient training of machine learning models

Reference 52

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Importance Sampling for Nonlinear Models Unresolved cited work

Reference 53

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This paper cites On coresets for logistic regression.

Importance Sampling for Nonlinear Models On coresets for logistic regression

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:09.881670Z

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Observation 7e1b3de4-8186-49f2-9e53-77944de3f08a · outbound

This paper cites Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software.

Importance Sampling for Nonlinear Models Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software

Reference 55

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Source-reported events for the cited work

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This paper cites P., and Yasuda, T.

Importance Sampling for Nonlinear Models P., and Yasuda, T

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:09.870403Z

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This paper cites A., Gladstone, R.

Importance Sampling for Nonlinear Models A., Gladstone, R

Reference 57

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Observation 0e8d3d12-7fab-4f2a-a247-e13e0ff7b427 · outbound

This paper cites and Nguy \^e n, H.

Importance Sampling for Nonlinear Models and Nguy \^e n, H

Reference 58

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Observation 9e798b8c-cc21-4220-a50e-23296c309589 · outbound

This paper cites Y., et al.

Importance Sampling for Nonlinear Models Y., et al

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:09.830845Z

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This paper cites Derivative-informed projected neural networks for high-dimensional parametric maps governed by pdes.

Importance Sampling for Nonlinear Models Derivative-informed projected neural networks for high-dimensional parametric maps governed by pdes

Reference 60

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Importance Sampling for Nonlinear Models Unresolved cited work

Reference 61

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This paper cites G., Choudhry, S., Rodriguez-Cintron, W., Mahoney, M.

Importance Sampling for Nonlinear Models G., Choudhry, S., Rodriguez-Cintron, W., Mahoney, M

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:09.796555Z

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Observation fd80d82a-f0b9-41da-b2e8-1da7acdaaecc · outbound

This paper cites Unconditional coresets for regularized loss minimization.

Importance Sampling for Nonlinear Models Unconditional coresets for regularized loss minimization

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:09.784626Z

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This paper cites Improved approximation algorithms for large matrices via random projections.

Importance Sampling for Nonlinear Models Improved approximation algorithms for large matrices via random projections

Reference 64

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This paper cites Handbook of Analysis and its Foundations.

Importance Sampling for Nonlinear Models Handbook of Analysis and its Foundations

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:09.764889Z

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Observation f8a21fee-232b-4aee-a2d4-42462423a2f0 · outbound

This paper cites an unresolved cited work.

Importance Sampling for Nonlinear Models Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:44:09.752524Z

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Observation 2acb4c3c-da27-42e1-8e29-7fdde14eec8f · outbound

This paper cites U., Raj, A., and Jaggi, M.

Importance Sampling for Nonlinear Models U., Raj, A., and Jaggi, M

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:09.739933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 719998cc-f3d9-44bd-b581-c9af5b1327ab · outbound

This paper cites Generic coreset for scalable learning of monotonic kernels: Logistic regression, sigmoid and more.

Importance Sampling for Nonlinear Models Generic coreset for scalable learning of monotonic kernels: Logistic regression, sigmoid and more

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:09.726132Z

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Observation cf40e99d-f9c4-4636-ad4b-dbb02f41433c · outbound

This paper cites Determinantal point processes for coresets.

Importance Sampling for Nonlinear Models Determinantal point processes for coresets

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:09.711969Z

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Observation 035824b7-53b1-4cc6-b5b5-75e76af62dcc · outbound

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

Importance Sampling for Nonlinear Models High-dimensional probability: An introduction with applications in data science, volume 47

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:09.594443Z

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Observation 89e0d864-d55a-43d1-9e09-62d3ec79d6b2 · outbound

This paper cites and Sievert, C.

Importance Sampling for Nonlinear Models and Sievert, C

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:09.692598Z

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Observation b61fc5cc-19a0-4f13-a75a-b172dbc0d10e · outbound

This paper cites an unresolved cited work.

Importance Sampling for Nonlinear Models Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:09.603629Z

Source-reported events for the cited work

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Observation 6782589a-99ae-49f8-8198-16bb4a9197d9 · outbound

This paper cites an unresolved cited work.

Importance Sampling for Nonlinear Models Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:44:09.672547Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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