Private Rate-Constrained Optimization with Applications to Fair Learning | Paper Citation Record

Observation a2ad8ad6-bd89-46ce-a7bc-c4d83a5798a3 · outbound

This paper cites Deep Learning with Differential Privacy.

Private Rate-Constrained Optimization with Applications to Fair Learning Deep Learning with Differential Privacy

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:31.490175Z

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Observation 701845d0-79e6-442c-90ac-903a713454fe · outbound

This paper cites A Reductions Approach to Fair Classification.

Private Rate-Constrained Optimization with Applications to Fair Learning A Reductions Approach to Fair Classification

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:31.286446Z

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Observation a0b34eb5-c293-4861-b3ee-2519ecd77b0e · outbound

This paper cites 2022.url: https://www.kaggle.com/datasets/ alexteboul/heart-disease-health-indicators-dataset (visited on 05/16/2025).

Private Rate-Constrained Optimization with Applications to Fair Learning 2022.url: https://www.kaggle.com/datasets/ alexteboul/heart-disease-health-indicators-dataset (visited on 05/16/2025)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:31.032250Z

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Observation 61e78a8a-7dde-498f-9824-21715a9a16f0 · outbound

This paper cites Differential Privacy Has Disparate Impact on Model Accuracy.

Private Rate-Constrained Optimization with Applications to Fair Learning Differential Privacy Has Disparate Impact on Model Accuracy

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:30.764317Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 61adaba1-60a7-4238-af8c-4d36ff165aec · outbound

This paper cites Privacy amplification by subsampling: Tight analyses via couplings and divergences.

Private Rate-Constrained Optimization with Applications to Fair Learning Privacy amplification by subsampling: Tight analyses via couplings and divergences

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:30.546506Z

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Observation cb38dd5d-4cbf-4ae5-b04b-43623196a1f7 · outbound

This paper cites MIT Press, 2023.

Private Rate-Constrained Optimization with Applications to Fair Learning MIT Press, 2023

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:09:10.619752Z

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Observation 212d8f55-6968-4811-a9f4-6f57d5ceeb9c · outbound

This paper cites Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap.

Private Rate-Constrained Optimization with Applications to Fair Learning Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:30.368623Z

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Observation 6386b40e-69e0-4b27-9205-569a3e23f6f6 · outbound

This paper cites Private Algorithmsfor Stochastic SaddlePoints and Variational Inequalities: Beyond Euclidean Geometry.

Private Rate-Constrained Optimization with Applications to Fair Learning Private Algorithmsfor Stochastic SaddlePoints and Variational Inequalities: Beyond Euclidean Geometry

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:30.162223Z

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Observation d781cdc3-617b-4aac-8dee-9dfb0c32dc26 · outbound

This paper cites Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds.

Private Rate-Constrained Optimization with Applications to Fair Learning Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:29.875332Z

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Observation ee3ab2de-31f5-4fff-be93-d04cab68aa28 · outbound

This paper cites UCI Machine Learning Repository.

Private Rate-Constrained Optimization with Applications to Fair Learning UCI Machine Learning Repository

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:29.658353Z

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Observation 93f695f6-6ebb-4b64-90a4-3786c948cad3 · outbound

This paper cites an unresolved cited work.

Private Rate-Constrained Optimization with Applications to Fair Learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:09:29.408357Z

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Observation a580bdaf-28ae-4d7b-ae0d-67865386c196 · outbound

This paper cites Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems.

Private Rate-Constrained Optimization with Applications to Fair Learning Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:29.194337Z

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Observation b5f41e41-166f-4c87-b11b-20c5e06179bd · outbound

This paper cites Robust Optimization for Non-Convex Objectives.

Private Rate-Constrained Optimization with Applications to Fair Learning Robust Optimization for Non-Convex Objectives

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:28.942744Z

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Observation 2eaafdf1-73cf-43c4-b27d-13f5f6f0cb2d · outbound

This paper cites Scalable DP-SGD: Shuffling vs. Poisson Subsampling.

Private Rate-Constrained Optimization with Applications to Fair Learning Scalable DP-SGD: Shuffling vs. Poisson Subsampling

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:09:18.025969Z

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Observation 4184bd92-c781-4c43-8d7e-1660c6023dcf · outbound

This paper cites Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals.

Private Rate-Constrained Optimization with Applications to Fair Learning Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:28.674747Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fac6e889-391f-4000-beea-1523db5d9dd4 · outbound

This paper cites Training Well-Generalizing Classifiers for Fairness Metrics and Other Data- Dependent Constraints.

Private Rate-Constrained Optimization with Applications to Fair Learning Training Well-Generalizing Classifiers for Fairness Metrics and Other Data- Dependent Constraints

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:28.383699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ff85e9b-7f17-4600-b3bb-819006fe71b3 · outbound

This paper cites On the compatibility of privacy and fairness.

Private Rate-Constrained Optimization with Applications to Fair Learning On the compatibility of privacy and fairness

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:28.135826Z

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Observation 4b9fcf80-1420-4d44-9915-96ca555caaf4 · outbound

This paper cites Stochastic Model-Based Minimization of Weakly Convex Functions.

Private Rate-Constrained Optimization with Applications to Fair Learning Stochastic Model-Based Minimization of Weakly Convex Functions

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:27.915510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 04dab71e-80fa-4400-be82-ef48fa9de358 · outbound

This paper cites Retiring Adult: New Datasets for Fair Machine Learning.

Private Rate-Constrained Optimization with Applications to Fair Learning Retiring Adult: New Datasets for Fair Machine Learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:27.685876Z

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Observation fcda48af-0bde-42b7-9b12-c834bfd247f8 · outbound

This paper cites Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions.

Private Rate-Constrained Optimization with Applications to Fair Learning Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:09:12.497962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac4e172f-333a-4790-9f85-74c562b1cc56 · outbound

This paper cites The Algorithmic Foundations of Differential Privacy.

Private Rate-Constrained Optimization with Applications to Fair Learning The Algorithmic Foundations of Differential Privacy

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:27.421928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e345f8b9-f397-4143-ab73-b5adbea9fbd2 · outbound

This paper cites Calibrating Noise to Sensitivity in Private Data Analysis.

Private Rate-Constrained Optimization with Applications to Fair Learning Calibrating Noise to Sensitivity in Private Data Analysis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:27.154624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 00b99b1b-605c-40a9-a471-75f055146746 · outbound

This paper cites Fairness through awareness.

Private Rate-Constrained Optimization with Applications to Fair Learning Fairness through awareness

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:26.971826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bedba9ca-3cfa-4e36-ba3f-48d36160cf2f · outbound

This paper cites Disparate Impact in Differential Privacy from Gradient Misalignment.

Private Rate-Constrained Optimization with Applications to Fair Learning Disparate Impact in Differential Privacy from Gradient Misalignment

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:26.724429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 252bc5b8-bf2c-490b-a705-63b1f41392e3 · outbound

This paper cites Neither private nor fair: Impact of data imbalance on utility and fairness in differential privacy.

Private Rate-Constrained Optimization with Applications to Fair Learning Neither private nor fair: Impact of data imbalance on utility and fairness in differential privacy

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:26.367339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6832eff1-187e-42aa-8e24-9f4272117d0c · outbound

This paper cites Deep Learning with Label Differential Privacy.

Private Rate-Constrained Optimization with Applications to Fair Learning Deep Learning with Label Differential Privacy

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:26.070508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 51baf502-5937-443d-af85-17f3872d323b · outbound

This paper cites Non-Discriminatory Machine Learning through Convex Fairness Criteria.

Private Rate-Constrained Optimization with Applications to Fair Learning Non-Discriminatory Machine Learning through Convex Fairness Criteria

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:25.821291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 48f14a76-1845-4e24-8be2-5b97b4875618 · outbound

This paper cites Satisfying real-world goals with dataset constraints.

Private Rate-Constrained Optimization with Applications to Fair Learning Satisfying real-world goals with dataset constraints

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:25.529686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68b00e9d-1733-42b4-a47a-30bd590d47be · outbound

This paper cites Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract.

Private Rate-Constrained Optimization with Applications to Fair Learning Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:25.284590Z

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Observation 660df6d8-71f4-415a-91b6-08c0f3b50254 · outbound

This paper cites Numerical Composition of Differential Privacy.

Private Rate-Constrained Optimization with Applications to Fair Learning Numerical Composition of Differential Privacy

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:25.062610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4dd8dfb4-a18a-4274-980b-42c2ce4a2fdb · outbound

This paper cites Stochastic-Differentially-Private-and-Fair-Learning.

Private Rate-Constrained Optimization with Applications to Fair Learning Stochastic-Differentially-Private-and-Fair-Learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:24.840375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e879a2c-0e61-460b-b654-313c860dbb29 · outbound

This paper cites Equality of opportunity in supervised learning.

Private Rate-Constrained Optimization with Applications to Fair Learning Equality of opportunity in supervised learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:24.596517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6bd56fec-569c-46a6-aa95-043cb89a6918 · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Private Rate-Constrained Optimization with Applications to Fair Learning GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:24.408584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4c33b7c9-69ad-41eb-8875-0d8759a665e0 · outbound

This paper cites Statlog (German Credit Data).

Private Rate-Constrained Optimization with Applications to Fair Learning Statlog (German Credit Data)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:24.251537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bad44051-5f82-4bc7-b415-566001d6c2fa · outbound

This paper cites Differentially private fair learning.

Private Rate-Constrained Optimization with Applications to Fair Learning Differentially private fair learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:24.036839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6331eb50-208d-4189-b875-070db45480da · outbound

This paper cites The composition theorem for differential privacy.

Private Rate-Constrained Optimization with Applications to Fair Learning The composition theorem for differential privacy

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:23.865815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 664d2313-9fd1-44e7-abc0-7b68ac5a0d35 · outbound

This paper cites What can we learn privately?.

Private Rate-Constrained Optimization with Applications to Fair Learning What can we learn privately?

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:23.680902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8de8f16d-cdf4-4304-80aa-524100a4038d · outbound

This paper cites RevisitingGradientClipping:Stochastic bias and tight convergence guarantees.

Private Rate-Constrained Optimization with Applications to Fair Learning RevisitingGradientClipping:Stochastic bias and tight convergence guarantees

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:23.432964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation df3a323c-73e6-4842-9dec-71188005ec25 · outbound

This paper cites What You See is What You Get: Principled Deep Learning via Distributional Generalization.

Private Rate-Constrained Optimization with Applications to Fair Learning What You See is What You Get: Principled Deep Learning via Distributional Generalization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:23.238842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d6416c25-fc21-438b-86c8-add28c211545 · outbound

This paper cites Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition.

Private Rate-Constrained Optimization with Applications to Fair Learning Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:09:14.993040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f278464-ccf8-4cd6-82d7-315e08671d81 · outbound

This paper cites On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems.

Private Rate-Constrained Optimization with Applications to Fair Learning On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:22.991227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 021f51e0-6ae3-4293-955f-059c5b087542 · outbound

This paper cites Parkinsons.

Private Rate-Constrained Optimization with Applications to Fair Learning Parkinsons

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:22.754861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d3be4fe2-dcaf-4d31-9083-14b31a5ee8f5 · outbound

This paper cites Stochastic Differentially Private and Fair Learning.

Private Rate-Constrained Optimization with Applications to Fair Learning Stochastic Differentially Private and Fair Learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:22.466323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 34625dc0-525c-4006-bc4a-fe8a910fa95a · outbound

This paper cites Differential Privacy has Bounded Impact on Fairness in Classification.

Private Rate-Constrained Optimization with Applications to Fair Learning Differential Privacy has Bounded Impact on Fairness in Classification

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:22.198072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c5e6925-9389-44b8-a7e3-d45d4b7e3c0d · outbound

This paper cites Performance analysis of cost-sensitive learning methods with application to imbalanced medical data.

Private Rate-Constrained Optimization with Applications to Fair Learning Performance analysis of cost-sensitive learning methods with application to imbalanced medical data

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:21.941579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 119dfd6b-c0b7-4500-b228-24ade05252ee · outbound

This paper cites Fair learning with private demographic data.

Private Rate-Constrained Optimization with Applications to Fair Learning Fair learning with private demographic data

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:21.672785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1bac5526-28b7-49a1-90ee-3cbaf96424da · outbound

This paper cites Robust Stochastic Approximation Approach to Stochastic Programming.

Private Rate-Constrained Optimization with Applications to Fair Learning Robust Stochastic Approximation Approach to Stochastic Programming

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:21.438383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1d8247d9-1f90-4585-a9b5-03bf0dc29261 · outbound

This paper cites Hyperparameter Tuning with Renyi Differential Privacy.

Private Rate-Constrained Optimization with Applications to Fair Learning Hyperparameter Tuning with Renyi Differential Privacy

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:21.199663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 682e5676-99b4-41ee-b104-ad0e401edda7 · outbound

This paper cites Membership Inference Attacks against Machine Learning Models.

Private Rate-Constrained Optimization with Applications to Fair Learning Membership Inference Attacks against Machine Learning Models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:21.005212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4005a43-2b12-4701-8dcc-7b08483742b5 · outbound

This paper cites Stochastic gradient descent with differ- entially private updates.

Private Rate-Constrained Optimization with Applications to Fair Learning Stochastic gradient descent with differ- entially private updates

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:20.785866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 739198e5-103e-49b4-8928-e0b6d11172c0 · outbound

This paper cites Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings.

Private Rate-Constrained Optimization with Applications to Fair Learning Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:20.545407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 84a8ba3f-4740-4cfe-a084-63b72976cc45 · outbound

This paper cites K-Anonymity: A Model for Protecting Privacy.

Private Rate-Constrained Optimization with Applications to Fair Learning K-Anonymity: A Model for Protecting Privacy

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:20.291442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5e08643-c314-4a39-85b3-eb93fa6080a1 · outbound

This paper cites Differentially Private Empirical Risk Minimization under the Fairness Lens.

Private Rate-Constrained Optimization with Applications to Fair Learning Differentially Private Empirical Risk Minimization under the Fairness Lens

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:20.070317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 51326182-5691-46c2-8db3-3237e98f508e · outbound

This paper cites On the Fairness Impacts of Private Ensembles Models.

Private Rate-Constrained Optimization with Applications to Fair Learning On the Fairness Impacts of Private Ensembles Models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:19.825217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ae25eb6-ba6c-42a0-a9c1-b962b43735b1 · outbound

This paper cites SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles.

Private Rate-Constrained Optimization with Applications to Fair Learning SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:19.517933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 179d1bc7-a51e-4de7-9c99-a568ddf90900 · outbound

This paper cites Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism.

Private Rate-Constrained Optimization with Applications to Fair Learning Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:19.262365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 005b8d0d-09e6-45da-a1d4-cd9dbd8ad498 · outbound

This paper cites Differentially Private SGDA for Minimax Problems.

Private Rate-Constrained Optimization with Applications to Fair Learning Differentially Private SGDA for Minimax Problems

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:18.952238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ed23d3c-f12e-4916-bc4f-bf403360b2f9 · outbound

This paper cites Default of Credit Card Clients.

Private Rate-Constrained Optimization with Applications to Fair Learning Default of Credit Card Clients

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:18.744588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9f2a11e6-d7fb-44fd-9f0b-47db5ce96869 · outbound

This paper cites Fairness Constraints: Mechanisms for Fair Classification.

Private Rate-Constrained Optimization with Applications to Fair Learning Fairness Constraints: Mechanisms for Fair Classification

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:18.463684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e52b1800-3223-41a9-86ce-7e5d426e3bec · outbound

This paper cites Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization.

Private Rate-Constrained Optimization with Applications to Fair Learning Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization

Reference 60

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:09:18.235484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers