FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data | Paper Citation Record

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This paper cites UCI Machine Learning Repository, 2000.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data UCI Machine Learning Repository, 2000

Reference 1

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This paper cites Active Sampling for Min-Max Fairness.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Active Sampling for Min-Max Fairness

Reference 2

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This paper cites Fairness in Clustering with Multiple Sensitive Attributes.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Fairness in Clustering with Multiple Sensitive Attributes

Reference 3

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This paper cites A reductions approach to fair classification.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data A reductions approach to fair classification

Reference 4

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This paper cites Fair active learning.Expert Sys- tems with Applications, 199:116981, 2022.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Fair active learning.Expert Sys- tems with Applications, 199:116981, 2022

Reference 5

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This paper cites and Li, J.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data and Li, J

Reference 6

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This paper cites T., Zhang, C., Krishnamurthy, A., Langford, J., and Agarwal, A.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data T., Zhang, C., Krishnamurthy, A., Langford, J., and Agarwal, A

Reference 7

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This paper cites Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:51.978674Z

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Observation beaf34d5-cada-4f9f-9ea2-0c8477825c2f · outbound

This paper cites AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 9

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This paper cites Prediction- oriented bayesian active learning.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Prediction- oriented bayesian active learning

Reference 10

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This paper cites Making Better Use of Unlabelled Data in Bayesian Active Learning.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Making Better Use of Unlabelled Data in Bayesian Active Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:51.963774Z

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Observation 81da57d1-9806-4a96-b86b-f908e343c5c9 · outbound

This paper cites V ., Chades, I., and Dezfouli, A.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data V ., Chades, I., and Dezfouli, A

Reference 12

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This paper cites JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference

Reference 13

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This paper cites Ferrario, M.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Ferrario, M

Reference 14

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Observation 4f66a33d-2642-4d2d-b0bd-59bf64833485 · outbound

This paper cites Adaptive sampling strategies to construct equitable training datasets.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Adaptive sampling strategies to construct equitable training datasets

Reference 15

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This paper cites and Haas, C.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data and Haas, C

Reference 16

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This paper cites doi: 10.1145/3616865.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data doi: 10.1145/3616865

Reference 17

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Observation a46d56b3-d2bd-4685-89b7-56bacd7431db · outbound

This paper cites R., Myung, J.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data R., Myung, J

Reference 18

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This paper cites and Wang, X.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data and Wang, X

Reference 19

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Observation 530c12c7-888e-4786-91cd-38f6e9fff8a2 · outbound

This paper cites URL https://proceedings.mlr.press/v162/chai22a.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data URL https://proceedings.mlr.press/v162/chai22a

Reference 20

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This paper cites and Verdinelli, I.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data and Verdinelli, I

Reference 21

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This paper cites Fair prediction with disparate impact: A study of bias in recidivism prediction instruments.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-04T12:49:51.947604Z

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Observation b5323212-fc97-4e45-b52c-72932a27f56f · outbound

This paper cites Unprocessing Seven Years of Algorithmic Fairness.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Unprocessing Seven Years of Algorithmic Fairness

Reference 23

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Observation a4b78f5f-9ee2-4538-8caa-7773c36c8617 · outbound

This paper cites Review of Mathematical frameworks for Fairness in Machine Learning.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Review of Mathematical frameworks for Fairness in Machine Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:51.937510Z

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Observation a9dce14d-726c-4b1a-981a-8c6f2c19aa60 · outbound

This paper cites Fairness through awareness,.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Fairness through awareness,

Reference 25

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This paper cites Fairness Through Awareness.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Fairness Through Awareness

Reference 26

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Observation 1cab253c-c63d-4f41-8893-e57d34520e13 · outbound

This paper cites T., and Leiserson, M.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data T., and Leiserson, M

Reference 27

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Observation f00b094a-32fd-4c3e-bf2b-aacf544e2e6c · outbound

This paper cites M., Saxena, A., Pei, Y ., and Pechenizkiy, M.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data M., Saxena, A., Pei, Y ., and Pechenizkiy, M

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-26T06:09:03.480071Z

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Observation f5ecf91f-3a34-4a8a-86ec-027f8b38964d · outbound

This paper cites Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-26T06:09:03.474253Z

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Observation 1f4a0d73-f814-4b83-9ddd-162e70af8541 · outbound

This paper cites W., Rainforth, T., and Goodman, N.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data W., Rainforth, T., and Goodman, N

Reference 30

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This paper cites W., and Rainforth, T.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data W., and Rainforth, T

Reference 31

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This paper cites R., Malik, I., and Rainforth, T.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data R., Malik, I., and Rainforth, T

Reference 32

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This paper cites R., Thurston, H., Varghese, P., Hong, C., and Gronsbell, J.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data R., Thurston, H., Varghese, P., Hong, C., and Gronsbell, J

Reference 33

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This paper cites Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs

Reference 34

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Observation 34152966-0538-4808-8bdd-a87e7c5330ac · outbound

This paper cites Equality of opportunity in super- vised learning.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Equality of opportunity in super- vised learning

Reference 35

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Observation 334d278d-27eb-472a-9460-e139859ee12e · outbound

This paper cites Equality of opportunity in supervised learning.Advances in neural information processing systems, 29, 2016.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Equality of opportunity in supervised learning.Advances in neural information processing systems, 29, 2016

Reference 36

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This paper cites Deep residual learning for image recognition.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Deep residual learning for image recognition

Reference 37

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This paper cites Journal of the American Statistical Association , author =.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Journal of the American Statistical Association , author =

Reference 38

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Observation 717c25f6-b1af-43e9-9596-de514d4225c6 · outbound

This paper cites R., Guan, C., and Rainforth, T.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data R., Guan, C., and Rainforth, T

Reference 39

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This paper cites Bayesian Active Learning for Classification and Preference Learning.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Bayesian Active Learning for Classification and Preference Learning

Reference 40

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This paper cites Pushing the limits of fairness impossibility: Who’s the fairest of them all?Advances in Neural Information Processing Systems, 35: 32749–32761, 2022.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Pushing the limits of fairness impossibility: Who’s the fairest of them all?Advances in Neural Information Processing Systems, 35: 32749–32761, 2022

Reference 41

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This paper cites Optimal experimental design: Formulations and computations.Acta Numerica, 33:715–840, 2024.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Optimal experimental design: Formulations and computations.Acta Numerica, 33:715–840, 2024

Reference 42

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Observation c54eef87-f90b-4211-8f5f-d7b59c357729 · outbound

This paper cites Amortized bayesian experimental design for decision-making.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Amortized bayesian experimental design for decision-making

Reference 43

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This paper cites Aline: Joint amortization for bayesian inference and active data acquisition.arXiv preprint arXiv:2506.07259.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Aline: Joint amortization for bayesian inference and active data acquisition.arXiv preprint arXiv:2506.07259

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:51.953064Z

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Observation cd326a92-21c5-44f0-bc54-b308c4a12598 · outbound

This paper cites Bayesian Experimental Design via Contrastive Diffusions.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Bayesian Experimental Design via Contrastive Diffusions

Reference 45

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Observation 1e763f45-3d0e-4e26-a360-fce16b5ea433 · outbound

This paper cites Nesting Particle Filters for Experimental Design in Dynamical Systems.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Nesting Particle Filters for Experimental Design in Dynamical Systems

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:51.942851Z

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Observation 8a6b20fb-c906-47b9-a60d-c7d5f5015a55 · outbound

This paper cites R., Foster, A., Kleinegesse, S., Gutmann, M., and Rainforth, T.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data R., Foster, A., Kleinegesse, S., Gutmann, M., and Rainforth, T

Reference 47

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This paper cites Decision theory for discrimination-aware classification.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Decision theory for discrimination-aware classification

Reference 48

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This paper cites A., and Rainforth, T.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data A., and Rainforth, T

Reference 49

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This paper cites Kleinegesse, C.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Kleinegesse, C

Reference 50

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Observation 7aeabac9-bb72-4ab3-b111-175ee53313f6 · outbound

This paper cites Adaptive sensitive reweighting to mitigate bias in fairness-aware classification.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Adaptive sensitive reweighting to mitigate bias in fairness-aware classification

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-26T06:07:45.509382Z

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This paper cites ISBN 9781450356398.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data ISBN 9781450356398

Reference 52

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Observation 2cc5db80-6b41-4739-a307-954a24e2f885 · outbound

This paper cites Adaptive sensitive reweighting to mitigate bias in fairness-aware classification.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Adaptive sensitive reweighting to mitigate bias in fairness-aware classification

Reference 53

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This paper cites Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:51.955928Z

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Observation c0ac9d64-ab57-4614-ba24-7a4954e24538 · outbound

This paper cites an unresolved cited work.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Unresolved cited work

Reference 55

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Observation 478b6cff-8987-405b-a7e4-23c3ee8747f5 · outbound

This paper cites V .Bayesian statistics, a review, volume 2.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data V .Bayesian statistics, a review, volume 2

Reference 56

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This paper cites Z., Haghgoo, B., Chen, A.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Z., Haghgoo, B., Chen, A

Reference 57

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Deep learning face attributes in the wild.2015 IEEE International Conference on Computer Vision (ICCV), pp

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This paper cites On the fairness of disentangled representations.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data On the fairness of disentangled representations

Reference 59

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Reference 60

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This paper cites Minimax pareto fairness: A multi objective perspective.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Minimax pareto fairness: A multi objective perspective

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This paper cites Algorithmic fairness: Choices, assumptions, and definitions.Annual Review of Statistics and Its Application, 2021.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Algorithmic fairness: Choices, assumptions, and definitions.Annual Review of Statistics and Its Application, 2021

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Observation 0a18a5b9-29b0-4f0a-8fcd-58b6f3b55e9f · outbound

This paper cites I., Cavagnaro, D.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data I., Cavagnaro, D

Reference 63

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Observation ae725211-2557-4fec-a74a-e01d8c0a59aa · outbound

This paper cites Fairness without harm: An influence- guided active sampling approach.Advances in Neural Information Processing Systems, 37: 61513–61548, 2024.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Fairness without harm: An influence- guided active sampling approach.Advances in Neural Information Processing Systems, 37: 61513–61548, 2024

Reference 64

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Pytorch: An imperative style, high-performance deep learning library

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data On nesting monte carlo estimators

Reference 66

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data R., and Bickford Smith, F

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-26T06:07:45.509382Z

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This paper cites M., Machado, J., and Baptista, L.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data M., Machado, J., and Baptista, L

Reference 68

Resolution: verified exact; doi, observed 2026-06-26T06:09:03.460333Z

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data C., and Fei-Fei, L

Reference 69

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data G., Drovandi, C

Reference 70

Resolution: verified exact; doi, observed 2026-06-26T06:09:03.464489Z

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Observation 00292395-cf26-4f11-b9c2-739e78d7e337 · outbound

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data G., Drovandi, C

Reference 71

Resolution: unresolved; no resolver link, observed 2026-06-26T06:07:45.509382Z

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Observation b70d7ab8-ee52-43d6-848e-29aa5200920c · outbound

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Active learning literature survey

Reference 72

Resolution: unresolved; no resolver link, observed 2026-06-26T06:07:45.509382Z

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Observation a8593b3d-fa71-424f-92df-50d4994d6532 · outbound

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Promoting fairness in learned models by learning to active learn under parity constraints

Reference 73

Resolution: unresolved; no resolver link, observed 2026-06-26T06:07:45.509382Z

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Observation 4ddc8c9f-36ff-48eb-bc9a-bec43bf5c660 · outbound

This paper cites Adaptive sampling for minimax fair classification.Advances in Neural Information Processing Systems, 34:24535–24544, 2021.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Adaptive sampling for minimax fair classification.Advances in Neural Information Processing Systems, 34:24535–24544, 2021

Reference 74

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Observation a7332ef3-9296-4416-bed4-5f2c769ea6fe · outbound

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Metric-fair active learning

Reference 75

Resolution: unresolved; no resolver link, observed 2026-06-26T06:07:45.509382Z

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This paper cites Discrimination in online ad delivery.Commun.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Discrimination in online ad delivery.Commun

Reference 76

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Observation f94bec87-153b-443b-bcc6-765e5d30207f · outbound

This paper cites Falcon: Fair Active Learning using Multi-armed Bandits.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Falcon: Fair Active Learning using Multi-armed Bandits

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:51.950426Z

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Observation 37a8db1d-43f1-4ea2-be7c-a8605465ca7c · outbound

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-06-26T06:07:45.509382Z

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Observation f02cff0f-c8c6-4610-aa94-1c223d81349d · outbound

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Unresolved cited work

Reference 79

Resolution: unresolved; no resolver link, observed 2026-06-26T06:07:45.509382Z

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Observation 377ccb16-836e-4634-bc4a-b1208d0c1793 · outbound

This paper cites Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment

Reference 80

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Observation 22baa004-cc26-4333-8ca7-c544b0e3e3d2 · outbound

This paper cites W., Katabi, D., and Ghassemi, M.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data W., Katabi, D., and Ghassemi, M

Reference 81

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This paper cites B., Valera, I., Rogriguez, M.

FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data B., Valera, I., Rogriguez, M

Reference 82

Resolution: unresolved; no resolver link, observed 2026-06-26T06:07:45.509382Z

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Observation 4cbfcb22-503a-4b36-98f5-6d7ae46ad13a · outbound

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FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Learning fair representations

Reference 83

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