Practical Performative Policy Learning with Strategic Agents | Paper Citation Record

Observation 88953a77-6e04-4a44-ae91-9c6e3bcc54e8 · outbound

This paper cites Externally valid treatment choice.arXiv, 2023.

Practical Performative Policy Learning with Strategic Agents Externally valid treatment choice.arXiv, 2023

Reference 1

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Observation 6cdde53e-f48f-4f8a-9be2-df07835c828e · outbound

This paper cites Policy learning with observational data.Econometrica, 89(1):133– 161, 2021.

Practical Performative Policy Learning with Strategic Agents Policy learning with observational data.Econometrica, 89(1):133– 161, 2021

Reference 2

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Observation ea281a0f-ca34-4e57-8474-dea050ad7d2c · outbound

This paper cites MIT press, 2024.

Practical Performative Policy Learning with Strategic Agents MIT press, 2024

Reference 3

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Observation cf4ad029-2119-43e9-a3da-68e214ec4d89 · outbound

This paper cites Gaming helps! learning from strategic interactions in natural dynamics.

Practical Performative Policy Learning with Strategic Agents Gaming helps! learning from strategic interactions in natural dynamics

Reference 4

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Observation f99db8c5-de6a-4f37-9844-68037a3f6cb1 · outbound

This paper cites Non-stationary stochastic optimization.Operations research, 63(5):1227–1244, 2015.

Practical Performative Policy Learning with Strategic Agents Non-stationary stochastic optimization.Operations research, 63(5):1227–1244, 2015

Reference 5

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Observation 134204ab-b731-4171-b557-7e291c33dc01 · outbound

This paper cites Beyond iid: data-driven decision-making in heterogeneous environments.Advances in Neural Information Processing Systems, 35:23979–23991, 2022.

Practical Performative Policy Learning with Strategic Agents Beyond iid: data-driven decision-making in heterogeneous environments.Advances in Neural Information Processing Systems, 35:23979–23991, 2022

Reference 6

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Observation 8c5f0e0b-3725-41e1-8c0e-5a0e42d5981f · outbound

This paper cites Manipulation-Proof Machine Learning.

Practical Performative Policy Learning with Strategic Agents Manipulation-Proof Machine Learning

Reference 7

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Observation 5bbe02a5-290a-4ff2-978a-fc82bbc807c7 · outbound

This paper cites Random forests.Machine learning, 45:5–32, 2001.

Practical Performative Policy Learning with Strategic Agents Random forests.Machine learning, 45:5–32, 2001

Reference 8

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Observation 4df01c20-9e57-4f2c-aed7-9a73e7d0d733 · outbound

This paper cites Static prediction games for adversarial learning problems.

Practical Performative Policy Learning with Strategic Agents Static prediction games for adversarial learning problems

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.251993Z

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Observation fe2fe947-559d-4453-a424-24b93fc872eb · outbound

This paper cites Smote: synthetic minority over-sampling technique.Journal of artificial intelligence research, 16:321–357, 2002.

Practical Performative Policy Learning with Strategic Agents Smote: synthetic minority over-sampling technique.Journal of artificial intelligence research, 16:321–357, 2002

Reference 10

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Observation 47a9f17d-ebc2-4432-90cc-5fe8c6bdb6b2 · outbound

This paper cites Xgboost: A scalable tree boosting system.

Practical Performative Policy Learning with Strategic Agents Xgboost: A scalable tree boosting system

Reference 11

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Observation e807145c-996c-4083-a20d-41eb20405922 · outbound

This paper cites Learning to incentivize improvements from strategic agents.

Practical Performative Policy Learning with Strategic Agents Learning to incentivize improvements from strategic agents

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.232412Z

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Observation 3cca3c19-9e9a-45e7-91d1-480f26d398a7 · outbound

This paper cites Learning strategy-aware linear classifiers.Advances in Neural Information Processing Systems, 33:15265–15276, 2020.

Practical Performative Policy Learning with Strategic Agents Learning strategy-aware linear classifiers.Advances in Neural Information Processing Systems, 33:15265–15276, 2020

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.222933Z

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Observation 4720c9db-5d37-4ba7-95c1-fb8f0e80654a · outbound

This paper cites Hedging the drift: Learning to optimize under nonstationarity.Management Science, 68(3):1696–1713, 2022.

Practical Performative Policy Learning with Strategic Agents Hedging the drift: Learning to optimize under nonstationarity.Management Science, 68(3):1696–1713, 2022

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.214017Z

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Observation 4bd798fc-f102-4b78-9614-141ea459486f · outbound

This paper cites Why bounded rationality?Journal of economic literature, 34(2):669–700, 1996.

Practical Performative Policy Learning with Strategic Agents Why bounded rationality?Journal of economic literature, 34(2):669–700, 1996

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.205034Z

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Observation afcecd55-e662-4099-a7c2-d15dbea7a042 · outbound

This paper cites Optimal classification under performative distribution shift.

Practical Performative Policy Learning with Strategic Agents Optimal classification under performative distribution shift

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.195974Z

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Observation 06a7b2d6-5564-4c52-8e0d-cf9dc01349cb · outbound

This paper cites Strategic classification from revealed preferences.

Practical Performative Policy Learning with Strategic Agents Strategic classification from revealed preferences

Reference 17

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Observation 89113a12-0e0c-4e46-8fad-1cb77a02f0be · outbound

This paper cites Stochastic optimization with decision-dependent distributions.

Practical Performative Policy Learning with Strategic Agents Stochastic optimization with decision-dependent distributions

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.182732Z

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Observation bc40e3ea-d95e-494c-8d22-2970905347dd · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.Journal of Machine Learning Research, 12(61):2121–2159, 2011.

Practical Performative Policy Learning with Strategic Agents Adaptive subgradient methods for online learning and stochastic optimization.Journal of Machine Learning Research, 12(61):2121–2159, 2011

Reference 19

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Observation bc03e500-104e-4ab8-a413-b52853c257ba · outbound

This paper cites Online convex optimization in the bandit setting: gradient descent without a gradient.

Practical Performative Policy Learning with Strategic Agents Online convex optimization in the bandit setting: gradient descent without a gradient

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.170063Z

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Observation 0f809da7-0b4b-4941-8659-a4050c35b5cb · outbound

This paper cites Wasserstein distributionally robust optimization and variation regularization.Operations Research, 72(3):1177–1191, 2024.

Practical Performative Policy Learning with Strategic Agents Wasserstein distributionally robust optimization and variation regularization.Operations Research, 72(3):1177–1191, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.161429Z

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Observation 6652c4bf-ad49-4fd2-8805-bf93ef4229b7 · outbound

This paper cites Gpytorch: Blackbox matrix-matrix gaussian process inference with gpu acceleration.Advances in neural information processing systems, 31, 2018.

Practical Performative Policy Learning with Strategic Agents Gpytorch: Blackbox matrix-matrix gaussian process inference with gpu acceleration.Advances in neural information processing systems, 31, 2018

Reference 22

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Observation b26a01ad-1b9e-4cf9-91b6-743133b5b0b1 · outbound

This paper cites Strategic classification in the dark.

Practical Performative Policy Learning with Strategic Agents Strategic classification in the dark

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.147256Z

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Observation d19965bc-454a-4b95-9def-eb16bc1c5971 · outbound

This paper cites Maximizing welfare with incentive-aware evaluation mechanisms.

Practical Performative Policy Learning with Strategic Agents Maximizing welfare with incentive-aware evaluation mechanisms

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.138045Z

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Observation 1f274fe4-b6e8-44c4-9aa3-72f82389e1bc · outbound

This paper cites Strategic classifica- tion.

Practical Performative Policy Learning with Strategic Agents Strategic classifica- tion

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.129223Z

Source-reported events for the cited work

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Observation f049ca17-5f1b-4c3f-8491-7bee0a2dce93 · outbound

This paper cites Causal strategic classification: A tale of two shifts.

Practical Performative Policy Learning with Strategic Agents Causal strategic classification: A tale of two shifts

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.120362Z

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Observation 620ac6be-6ae7-4648-8907-c1fd8bec6a95 · outbound

This paper cites Off-policy evaluation via off-policy classification.Advances in Neural Information Processing Systems, 32, 2019.

Practical Performative Policy Learning with Strategic Agents Off-policy evaluation via off-policy classification.Advances in Neural Information Processing Systems, 32, 2019

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.111519Z

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Observation 224841ef-c7dc-4bce-9c16-14bc82d8876e · outbound

This paper cites How to learn when data reacts to your model: performative gradient descent.

Practical Performative Policy Learning with Strategic Agents How to learn when data reacts to your model: performative gradient descent

Reference 28

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Observation 726e6108-29ef-481a-8246-bb4e8c679cc8 · outbound

This paper cites Alternative microfoundations for strategic classification.

Practical Performative Policy Learning with Strategic Agents Alternative microfoundations for strategic classification

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.097235Z

Source-reported events for the cited work

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Observation 07b53353-c32b-4fcc-be9b-d7864895bc6e · outbound

This paper cites Regret minimization with performative feedback.

Practical Performative Policy Learning with Strategic Agents Regret minimization with performative feedback

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.088667Z

Source-reported events for the cited work

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Observation 2745eb11-6e49-4a31-b7bb-cbf2265efcc3 · outbound

This paper cites More efficient policy learning via optimal retargeting.Journal of the American Statistical Association, 116(534):646–658, 2021.

Practical Performative Policy Learning with Strategic Agents More efficient policy learning via optimal retargeting.Journal of the American Statistical Association, 116(534):646–658, 2021

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.079607Z

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Observation bbc524ae-8372-4589-acc9-6790c35a6b3d · outbound

This paper cites Doubly robust distributionally robust off-policy evaluation and learning.

Practical Performative Policy Learning with Strategic Agents Doubly robust distributionally robust off-policy evaluation and learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.070389Z

Source-reported events for the cited work

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Observation 01e95f79-69ea-4302-88a6-35548e41da88 · outbound

This paper cites Minimax-optimal policy learning under unobserved confounding.

Practical Performative Policy Learning with Strategic Agents Minimax-optimal policy learning under unobserved confounding

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.062873Z

Source-reported events for the cited work

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Observation 9d3b19f6-4608-4d83-932e-1064cb43d32d · outbound

This paper cites Making decisions under outcome performativity.

Practical Performative Policy Learning with Strategic Agents Making decisions under outcome performativity

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.055000Z

Source-reported events for the cited work

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Observation 202776c7-2f3b-4e94-91f4-80fc3f06a5d4 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Practical Performative Policy Learning with Strategic Agents Adam: A Method for Stochastic Optimization

Reference 35

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Observation 79118dd4-59fc-41ca-ae7f-bc11480ae5c5 · outbound

This paper cites How do classifiers induce agents to invest effort strategically? ACM Transactions on Economics and Computation (TEAC), 8(4):1–23, 2020.

Practical Performative Policy Learning with Strategic Agents How do classifiers induce agents to invest effort strategically? ACM Transactions on Economics and Computation (TEAC), 8(4):1–23, 2020

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.047321Z

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Observation 94c97062-93bd-45d5-b9b0-c355f1014dec · outbound

This paper cites Metalearners for estimating heterogeneous treatment effects using machine learning.Proceedings of the national academy of sciences, 116(10):4156–4165, 2019.

Practical Performative Policy Learning with Strategic Agents Metalearners for estimating heterogeneous treatment effects using machine learning.Proceedings of the national academy of sciences, 116(10):4156–4165, 2019

Reference 37

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Observation c28e4ad0-496e-4607-8789-1466d1f0ce65 · outbound

This paper cites Strategic classification with unknown user manipulations.

Practical Performative Policy Learning with Strategic Agents Strategic classification with unknown user manipulations

Reference 38

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Observation 725d6de5-44d7-4d31-ba13-d0966d5ac256 · outbound

This paper cites Strategic classification made practical.

Practical Performative Policy Learning with Strategic Agents Strategic classification made practical

Reference 39

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Observation 8fa99b5a-a439-49cb-92be-5c56e61cd4a7 · outbound

This paper cites Generalized strategic classification and the case of aligned incentives.

Practical Performative Policy Learning with Strategic Agents Generalized strategic classification and the case of aligned incentives

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.022525Z

Source-reported events for the cited work

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Observation 8eaa1a58-dbf8-4cdd-acd9-19fd6876d029 · outbound

This paper cites Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data.The Annals of Statistics, 38(6):3321– 3351, 2010.

Practical Performative Policy Learning with Strategic Agents Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data.The Annals of Statistics, 38(6):3321– 3351, 2010

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.012499Z

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Observation e7a5765f-2591-4f4b-925d-37e64e5bbcb6 · outbound

This paper cites Plug-in performative optimization.

Practical Performative Policy Learning with Strategic Agents Plug-in performative optimization

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:47.003326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5ac64d15-4689-4407-9bef-a3cc0c5a1f6c · outbound

This paper cites Contextual dynamic pricing with strategic buyers.Journal of the American Statistical Association, pages 1–13, 2024.

Practical Performative Policy Learning with Strategic Agents Contextual dynamic pricing with strategic buyers.Journal of the American Statistical Association, pages 1–13, 2024

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.994363Z

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Observation 116a903a-fa95-4bc1-81bf-dd0e7697f99f · outbound

This paper cites Statistical treatment rules for heterogeneous populations.

Practical Performative Policy Learning with Strategic Agents Statistical treatment rules for heterogeneous populations

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.985484Z

Source-reported events for the cited work

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Observation f365b627-b99c-48a9-a9c0-8fc827a2303a · outbound

This paper cites Anticipating performativity by predicting from predictions.Advances in Neural Information Processing Systems, 35:31171–31185, 2022.

Practical Performative Policy Learning with Strategic Agents Anticipating performativity by predicting from predictions.Advances in Neural Information Processing Systems, 35:31171–31185, 2022

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.976818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 59713af1-34a4-475a-be92-054def5dfae9 · outbound

This paper cites Stochastic optimization for performative prediction.Advances in Neural Information Processing Systems, 33:4929–4939, 2020.

Practical Performative Policy Learning with Strategic Agents Stochastic optimization for performative prediction.Advances in Neural Information Processing Systems, 33:4929–4939, 2020

Reference 46

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Observation 2489fd73-38c7-4eeb-b0e7-07be1eb34b75 · outbound

This paper cites Strategic classification is causal modeling in disguise.

Practical Performative Policy Learning with Strategic Agents Strategic classification is causal modeling in disguise

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T04:32:46.402216Z

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Observation 5939d944-7b23-4a27-884f-d9a8ec14be77 · outbound

This paper cites Outside the echo chamber: Optimizing the performative risk.

Practical Performative Policy Learning with Strategic Agents Outside the echo chamber: Optimizing the performative risk

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T04:32:46.404626Z

Source-reported events for the cited work

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Observation 2b1fe021-6342-4443-bdf8-93e17edcf611 · outbound

This paper cites Learning optimal distributionally robust individualized treatment rules.

Practical Performative Policy Learning with Strategic Agents Learning optimal distributionally robust individualized treatment rules

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.952558Z

Source-reported events for the cited work

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Observation d3cedacb-9f5d-4325-9321-9768d61de630 · outbound

This paper cites Performative prediction with neural networks.

Practical Performative Policy Learning with Strategic Agents Performative prediction with neural networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.943364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7e966169-6a44-4751-b4ea-9418e3af0c5a · outbound

This paper cites Treatment allocation with strategic agents.Management Science, 2024.

Practical Performative Policy Learning with Strategic Agents Treatment allocation with strategic agents.Management Science, 2024

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.934235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cfbe8869-89ef-4b1a-af74-550d29079fdc · outbound

This paper cites Quasi-oracle estimation of heterogeneous treatment effects.Biometrika, 108(2):299–319, 09 2020.

Practical Performative Policy Learning with Strategic Agents Quasi-oracle estimation of heterogeneous treatment effects.Biometrika, 108(2):299–319, 09 2020

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.924702Z

Source-reported events for the cited work

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Observation 33f1ecab-bf2d-4482-90e5-38e70f712d94 · outbound

This paper cites Performative prediction.

Practical Performative Policy Learning with Strategic Agents Performative prediction

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T04:32:46.418689Z

Source-reported events for the cited work

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Observation d4751ed7-ddd6-423a-9f98-e0b313d75469 · outbound

This paper cites Distributionally robust optimization: A review.arXiv,.

Practical Performative Policy Learning with Strategic Agents Distributionally robust optimization: A review.arXiv,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.911550Z

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Observation 59fa461e-3567-4c4f-93ee-fd882c14a317 · outbound

This paper cites One-shot strategic classification under unknown costs.

Practical Performative Policy Learning with Strategic Agents One-shot strategic classification under unknown costs

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.902883Z

Source-reported events for the cited work

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Observation cda487de-e70c-46f3-b564-5691a5cfe824 · outbound

This paper cites Estimating causal effects of treatments in randomized and nonrandomized studies.

Practical Performative Policy Learning with Strategic Agents Estimating causal effects of treatments in randomized and nonrandomized studies

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.894094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f6af58e7-4dee-48d1-b613-a0b658b6852f · outbound

This paper cites Policy Learning with Competing Agents.

Practical Performative Policy Learning with Strategic Agents Policy Learning with Competing Agents

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:32:46.548787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce6ecd0e-50e4-4e36-947a-f53d151ef818 · outbound

This paper cites Strategic classification under unknown personalized manipulation.

Practical Performative Policy Learning with Strategic Agents Strategic classification under unknown personalized manipulation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.885326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a8e32e9-cf0c-488c-b2d6-24f0e0334115 · outbound

This paper cites Causal strategic linear regression.

Practical Performative Policy Learning with Strategic Agents Causal strategic linear regression

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T04:32:46.441053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3359f29-1cba-40c5-8b6c-2601d3180586 · outbound

This paper cites Optimal decision making under strategic behavior.

Practical Performative Policy Learning with Strategic Agents Optimal decision making under strategic behavior

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.871368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64647a2c-b4bf-4a73-966c-b599088d3f6a · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforcement learning.

Practical Performative Policy Learning with Strategic Agents Simple statistical gradient-following algorithms for connectionist reinforcement learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T04:32:46.447659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a27786de-ba46-4bdc-bcd3-483b6e2d1686 · outbound

This paper cites Zero-regret performative prediction under inequality constraints.

Practical Performative Policy Learning with Strategic Agents Zero-regret performative prediction under inequality constraints

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.857543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 55d8924d-67da-464b-a8d5-daf5d1b93554 · outbound

This paper cites Deep learning for functional data analysis with adaptive basis layers.

Practical Performative Policy Learning with Strategic Agents Deep learning for functional data analysis with adaptive basis layers

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.848697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 42551135-bcc6-43f9-abbf-410e89eefa7d · outbound

This paper cites Derivative reproducing properties for kernel methods in learning theory.Journal of computational and Applied Mathematics, 220(1-2):456–463, 2008.

Practical Performative Policy Learning with Strategic Agents Derivative reproducing properties for kernel methods in learning theory.Journal of computational and Applied Mathematics, 220(1-2):456–463, 2008

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.840188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 07f23271-6c36-4d80-b066-1fd31a491383 · outbound

This paper cites The sample complexity of online contract design.

Practical Performative Policy Learning with Strategic Agents The sample complexity of online contract design

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.831121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 88f4d2b1-90bd-4197-b7c7-ca819af68791 · outbound

This paper cites an unresolved cited work.

Practical Performative Policy Learning with Strategic Agents Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:32:46.822648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5ea679a6-2da9-4c39-8fad-02760ae3a9b0 · outbound

This paper cites an unresolved cited work.

Practical Performative Policy Learning with Strategic Agents Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:32:46.814431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8235dca-1936-4c09-a8a1-ad21710ef55d · outbound

This paper cites The samples used for policy evaluation (for generating charts) is fixed across the whole session.

Practical Performative Policy Learning with Strategic Agents The samples used for policy evaluation (for generating charts) is fixed across the whole session

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.806733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e91cdea-82c3-4c98-80a8-37e1e14b00cc · outbound

This paper cites an unresolved cited work.

Practical Performative Policy Learning with Strategic Agents Unresolved cited work

Reference 70

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T04:32:46.799543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d564328e-c64c-4f00-b550-481dad91861a · outbound

This paper cites an unresolved cited work.

Practical Performative Policy Learning with Strategic Agents Unresolved cited work

Reference 71

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T04:32:46.792445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 998a0d60-9bb8-43ed-9a50-e17e794e907a · outbound

This paper cites For every dimension of v, we generate the weight from standard Gaussian distribution.

Practical Performative Policy Learning with Strategic Agents For every dimension of v, we generate the weight from standard Gaussian distribution

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.784164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f9ca02fa-5c2c-454b-af8e-adcbe21ac7b2 · outbound

This paper cites This matrix is fixed through all experiments.

Practical Performative Policy Learning with Strategic Agents This matrix is fixed through all experiments

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.775739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 00de0156-40f5-4a7c-812f-3a707c98e9be · outbound

This paper cites Hidden layer size: 2(dim V + |U |) = 50.

Practical Performative Policy Learning with Strategic Agents Hidden layer size: 2(dim V + |U |) = 50

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.767244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2eb3c45-90f8-4958-9330-526055800366 · outbound

This paper cites Hidden layer size:2(dim V + |U |) = 50.

Practical Performative Policy Learning with Strategic Agents Hidden layer size:2(dim V + |U |) = 50

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.758937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d1e602ae-6950-4831-ae04-90a7130fef39 · outbound

This paper cites an unresolved cited work.

Practical Performative Policy Learning with Strategic Agents Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:32:46.750480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a18f292a-ad12-4b8c-93c0-912dd15b5351 · outbound

This paper cites We comment that the dimension ofθ is greater than 1,000, which is very high-dimensional, and break the setting in former literature, where the dimension is usually lower than 10.

Practical Performative Policy Learning with Strategic Agents We comment that the dimension ofθ is greater than 1,000, which is very high-dimensional, and break the setting in former literature, where the dimension is usually lower than 10

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.741616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 291098aa-0141-40a8-8c8d-c73b222159c6 · outbound

This paper cites an unresolved cited work.

Practical Performative Policy Learning with Strategic Agents Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:32:46.732205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce1acf51-dd88-43e5-ae65-d77ac96a408d · outbound

This paper cites an unresolved cited work.

Practical Performative Policy Learning with Strategic Agents Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:32:46.723897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ebec0ee5-a476-4ca8-bfcd-1694597493e7 · outbound

This paper cites an unresolved cited work.

Practical Performative Policy Learning with Strategic Agents Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:32:46.714650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 449ad274-c0e2-42db-a658-14f5dfc30872 · outbound

This paper cites an unresolved cited work.

Practical Performative Policy Learning with Strategic Agents Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:32:46.705170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ae1bbe82-4062-49fd-8c6d-a85114183874 · outbound

This paper cites Hidden layer size: 2(dim V + |U |) = 130.

Practical Performative Policy Learning with Strategic Agents Hidden layer size: 2(dim V + |U |) = 130

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.696888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e040fc5-cc12-442d-a12f-144f21963ea5 · outbound

This paper cites Hidden layer size: 2(dim V + |U |) = 130.

Practical Performative Policy Learning with Strategic Agents Hidden layer size: 2(dim V + |U |) = 130

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.688870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b36bd72-de80-47cf-ad87-4f94ece31f34 · outbound

This paper cites an unresolved cited work.

Practical Performative Policy Learning with Strategic Agents Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:32:46.681050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31270f21-9376-44f0-b2ff-25bb63718e3c · outbound

This paper cites Since the degree of non-linearity of objective function increases greatly in semi-synthetic contrasting synthetic case, we adopt Adam as optimizer with momentum.

Practical Performative Policy Learning with Strategic Agents Since the degree of non-linearity of objective function increases greatly in semi-synthetic contrasting synthetic case, we adopt Adam as optimizer with momentum

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:32:46.671629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2dc87d40-b69d-4f65-81a8-d633fd2ea238 · outbound

This paper cites Distributionally Robust Optimization: A Review.

Practical Performative Policy Learning with Strategic Agents Distributionally Robust Optimization: A Review

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-12T04:32:46.424813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers