Paper Citation Record · LEDGER

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression

As of 10 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2512.00919.

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pith.paper-citation-record.v1
2512.00919 v2

Coverage vector

measured 46 of 46 reference resolution

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Reference resolution

46 of 46 outbound references displayed

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Outbound references

Observation 333722dc-8fd7-46b8-b855-9db8ca53be17 · outbound

This paper cites Strong converse for identification via quantum channels.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Strong converse for identification via quantum channels

Reference 1

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Observation f72291cd-dc72-45a4-a7bc-638e61454c9a · outbound

This paper cites Barto, Richard S.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Barto, Richard S

Reference 2

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Observation 7a291a28-e955-4b4e-97a2-89d04683fb9a · outbound

This paper cites Minimax instrumental variable regression andl_2convergence guarantees without identification or closedness.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Minimax instrumental variable regression andl_2convergence guarantees without identification or closedness

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T19:26:21.538248Z

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Observation 82b7eed8-b5f3-4e2e-be9e-56b13e2e9242 · outbound

This paper cites Semi-nonparametric iv estimation of shape- invariant engel curves.Econometrica, 75(6):1613–1669, 2007.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Semi-nonparametric iv estimation of shape- invariant engel curves.Econometrica, 75(6):1613–1669, 2007

Reference 4

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Observation 1aaa2f9e-ab4d-4938-9a49-5f8d4c00201a · outbound

This paper cites Bradtke and Andrew G.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Bradtke and Andrew G

Reference 5

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Observation dd6e93a1-20b3-46a6-8a4d-cf77cc4e84da · outbound

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

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Optimal rates for the regularized least-squares algorithm

Reference 6

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Observation 1105b1ba-3796-4c0d-898a-a0aed45fe8cf · outbound

This paper cites Using geographic variation in college proximity to estimate the return to schooling, 1993.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Using geographic variation in college proximity to estimate the return to schooling, 1993

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T19:26:21.859666Z

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Observation 30cc5377-eb64-481e-8602-861d91874f7a · outbound

This paper cites Optimal sup-norm rates and uniform inference on nonlinear functionals of nonparametric iv regression.Quantitative Economics, 9(1):39–84, 2018.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Optimal sup-norm rates and uniform inference on nonlinear functionals of nonparametric iv regression.Quantitative Economics, 9(1):39–84, 2018

Reference 8

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Observation bd9378da-941e-4929-bb9b-8b726a73fac6 · outbound

This paper cites Estimation of nonparametric conditional moment models with pos- sibly nonsmooth generalized residuals.Econometrica, 80(1):277–321, 2012.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Estimation of nonparametric conditional moment models with pos- sibly nonsmooth generalized residuals.Econometrica, 80(1):277–321, 2012

Reference 9

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Observation b42e7d46-0507-47e3-b584-bac8ca33748c · outbound

This paper cites On instrumental variable regression for deep offline policy evaluation.Journal of Machine Learning Research, 23(302):1–40, 2022.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression On instrumental variable regression for deep offline policy evaluation.Journal of Machine Learning Research, 23(302):1–40, 2022

Reference 10

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Observation d8bfcc37-ba6f-4a48-ac3e-e120323b8cf6 · outbound

This paper cites Nonparametric instrumental regres- sion.Econometrica, 79(5):1541–1565, 2011.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Nonparametric instrumental regres- sion.Econometrica, 79(5):1541–1565, 2011

Reference 11

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Observation 657f0ea8-5fab-4154-bcb9-10abf4346798 · outbound

This paper cites Minimax estimation of conditional moment models.Advances in Neural Information Processing Systems, 33, 2020.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Minimax estimation of conditional moment models.Advances in Neural Information Processing Systems, 33, 2020

Reference 12

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Observation fb6c5eb4-3ac1-482c-beab-dc48eefe8e54 · outbound

This paper cites Identification and estimation by penal- ization in nonparametric instrumental regression.Econometric Theory, 27(3):472–496, 2011.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Identification and estimation by penal- ization in nonparametric instrumental regression.Econometric Theory, 27(3):472–496, 2011

Reference 13

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This paper cites Lehman, Matthieu Komorowski, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David Sontag, and Finale Doshi-Velez.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Lehman, Matthieu Komorowski, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David Sontag, and Finale Doshi-Velez

Reference 14

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Observation 62160463-a984-4c53-9e50-233223e6132c · outbound

This paper cites Nonparametric methods for inference in the presence of instrumental variables.Annals of Statistics, 33(6):2904–2929, 2005.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Nonparametric methods for inference in the presence of instrumental variables.Annals of Statistics, 33(6):2904–2929, 2005

Reference 15

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Observation 284fc5a1-7729-4703-a653-137a62dd9298 · outbound

This paper cites Deep iv: A flexible approach for counterfactual prediction.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Deep iv: A flexible approach for counterfactual prediction

Reference 16

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Observation af5aace1-ac60-4622-92f5-9ec445ed5f92 · outbound

This paper cites Primal-Dual Spectral Representation for Off-policy Evaluation.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Primal-Dual Spectral Representation for Off-policy Evaluation

Reference 17

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Observation 941437c5-7296-4844-ac22-1a9aba9fb4bc · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 18

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Observation 0954aa7e-27d6-4482-82b7-c33253663bb3 · outbound

This paper cites Offline reinforcement learning in large state spaces: Algorithms and guarantees.arXiv preprint arXiv:2510.04088, 2025.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Offline reinforcement learning in large state spaces: Algorithms and guarantees.arXiv preprint arXiv:2510.04088, 2025

Reference 19

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Observation 5c32fe20-e0d8-44a3-b7a4-e86d85d8853a · outbound

This paper cites Optimality and adaptivity of deep neural features for instrumental variable regression.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Optimality and adaptivity of deep neural features for instrumental variable regression

Reference 20

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Observation 92e4ee3f-6a60-4e68-93f4-a912bbad35e9 · outbound

This paper cites Neuralconditionalprobabilityforuncertaintyquantification.Advances in Neural Information Processing Systems, 37, 2024.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Neuralconditionalprobabilityforuncertaintyquantification.Advances in Neural Information Processing Systems, 37, 2024

Reference 21

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This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 22

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Observation dc47ac36-d3d4-422f-92f1-4377bc013be1 · outbound

This paper cites Adversarial Generalized Method of Moments.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Adversarial Generalized Method of Moments

Reference 23

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Observation 3082ff96-5902-4002-a9f8-ef0b44522c5c · outbound

This paper cites Provably efficient neural estimation of structural equation models: An adversarial approach.Advances in Neural Information Processing Systems, 33, 2020.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Provably efficient neural estimation of structural equation models: An adversarial approach.Advances in Neural Information Processing Systems, 33, 2020

Reference 24

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This paper cites dsprites: Disentanglement testing sprites dataset.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression dsprites: Disentanglement testing sprites dataset

Reference 25

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This paper cites Nonparametric Instrumental Regression via Kernel Methods is Minimax Optimal.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Nonparametric Instrumental Regression via Kernel Methods is Minimax Optimal

Reference 26

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Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Kostic, and Arthur Gretton

Reference 27

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Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Spectral normalization for generative adversarial networks

Reference 28

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This paper cites Rusu, Joel Veness, Marc G.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Rusu, Joel Veness, Marc G

Reference 29

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This paper cites Phd thesis, Uni- versity of Cambridge, 1990.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Phd thesis, Uni- versity of Cambridge, 1990

Reference 30

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Observation 6bdd6e01-2383-4e54-9e34-626497f3ef86 · outbound

This paper cites Instrumental variable estimation of nonparametric models.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Instrumental variable estimation of nonparametric models

Reference 31

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Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Functional bilevel optimization for machine learning

Reference 32

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This paper cites Nonparametric instrumental variable regression with observed covariates.arXiv preprint arXiv:2511.19404, 2025.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Nonparametric instrumental variable regression with observed covariates.arXiv preprint arXiv:2511.19404, 2025

Reference 33

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This paper cites Kernel instrumental variable regression.Advances in Neural Information Processing Systems, 32, 2019.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Kernel instrumental variable regression.Advances in Neural Information Processing Systems, 32, 2019

Reference 34

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This paper cites Spectral representation for causal estimation with hidden confounders.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Spectral representation for causal estimation with hidden confounders

Reference 35

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This paper cites An introduction to matrix concentration inequalities.Foundations and Trends®in Machine Learning, 8(1-2):1–230, 2015.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression An introduction to matrix concentration inequalities.Foundations and Trends®in Machine Learning, 8(1-2):1–230, 2015

Reference 36

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This paper cites Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems

Reference 37

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This paper cites Fast instrument learning with faster rates.Advances in Neural Information Processing Systems, 35:16596–16611, 2022.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Fast instrument learning with faster rates.Advances in Neural Information Processing Systems, 35:16596–16611, 2022

Reference 38

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This paper cites Perturbation bounds in connection with singular value decomposition.BIT Numerical Mathematics, 12(1):99–111, 1972.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Perturbation bounds in connection with singular value decomposition.BIT Numerical Mathematics, 12(1):99–111, 1972

Reference 39

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Observation dce13e21-a5f3-4631-90dd-5179f94c1515 · outbound

This paper cites Learning deep features in instrumental variable regression.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Learning deep features in instrumental variable regression

Reference 40

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This paper cites Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation

Reference 41

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Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression measures

Reference 42

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Reference 45

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Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression outcome-aware

Reference 46

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This paper cites Evaluating Reinforcement Learning Algorithms in Observational Health Settings.

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Evaluating Reinforcement Learning Algorithms in Observational Health Settings

Reference 2018

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