Image de couverture de livre

Bayes-Optimal Classifiers under Group Fairness

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zeng, Xianli, Dobriban, Edgar, Cheng, Guang
Format:	Preprint
Publié:	2022
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Minimax Optimal Fair Classification with Bounded Demographic Disparity
par: Zeng, Xianli, et autres
Publié: (2024)

Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing
par: Zeng, Xianli, et autres
Publié: (2024)

FairRR: Pre-Processing for Group Fairness through Randomized Response
par: Zeng, Xianli, et autres
Publié: (2024)

Fair Classification by Direct Intervention on Operating Characteristics
par: Jiang, Kevin, et autres
Publié: (2025)

Optimal Decision-Making Based on Prediction Sets
par: Wang, Tao, et autres
Publié: (2026)

SymmPI: Predictive Inference for Data with Group Symmetries
par: Dobriban, Edgar, et autres
Publié: (2023)

Minimax Statistical Estimation under Wasserstein Contamination
par: Chao, Patrick, et autres
Publié: (2023)

Where to Spend Rollouts: Hit-Utility Optimal Rollout Allocation for Group-Based RLVR
par: Wang, Tao, et autres
Publié: (2026)

Statistical Methods in Generative AI
par: Dobriban, Edgar
Publié: (2025)

Solving a Research Problem in Mathematical Statistics with AI Assistance
par: Dobriban, Edgar
Publié: (2025)

Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
par: Huang, Xinmeng, et autres
Publié: (2023)

Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
par: Qiu, Hongxiang, et autres
Publié: (2023)

Optimal Transport under Group Fairness Constraints
par: Bleistein, Linus, et autres
Publié: (2026)

Online Conformal Prediction via Universal Portfolio Algorithms
par: Liu, Tuo, et autres
Publié: (2026)

Singleton-Optimized Conformal Prediction
par: Wang, Tao, et autres
Publié: (2025)

Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
par: Joshi, Sunay, et autres
Publié: (2025)

Demystifying the Optimal Fair Classifier in Multi-Class Classification
par: Zhang, Li, et autres
Publié: (2026)

A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
par: Moniri, Behrad, et autres
Publié: (2023)

Provable tradeoffs in adversarially robust classification
par: Dobriban, Edgar, et autres
Publié: (2020)

MultiRisk: Multiple Risk Control via Iterative Score Thresholding
par: Joshi, Sunay, et autres
Publié: (2025)

Inference in Randomized Least Squares and PCA via Normality of Quadratic Forms
par: Wang, Leda, et autres
Publié: (2024)

Evaluating the Performance of Large Language Models via Debates
par: Moniri, Behrad, et autres
Publié: (2024)

Bayes-Optimal Fair Classification with Multiple Sensitive Features
par: Yang, Yi, et autres
Publié: (2025)

Synthetic-Powered Multiple Testing with FDR Control
par: Lee, Yonghoon, et autres
Publié: (2026)

A Confidence Interval for the $\ell_2$ Expected Calibration Error
par: Sun, Yan, et autres
Publié: (2024)

Risk-Controlled Post-Processing of Decision Policies
par: Joshi, Sunay, et autres
Publié: (2026)

Sampling Audit Evidence Using a Naive Bayes Classifier
par: Sheu, Guang-Yih, et autres
Publié: (2024)

One-Shot Safety Alignment for Large Language Models via Optimal Dualization
par: Huang, Xinmeng, et autres
Publié: (2024)

Watermarking Language Models with Error Correcting Codes
par: Chao, Patrick, et autres
Publié: (2024)

pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
par: Lei, Haoyu, et autres
Publié: (2025)

Synthetic-Powered Predictive Inference
par: Bashari, Meshi, et autres
Publié: (2025)

Empirical Likelihood-Based Fairness Auditing: Distribution-Free Certification and Flagging
par: Tang, Jie, et autres
Publié: (2026)

Structure of Classifier Boundaries: Case Study for a Naive Bayes Classifier
par: Karr, Alan F., et autres
Publié: (2022)

On the Maximal Local Disparity of Fairness-Aware Classifiers
par: Jin, Jinqiu, et autres
Publié: (2024)

Optimal Fairness under Local Differential Privacy
par: Ghoukasian, Hrad, et autres
Publié: (2025)

Statistical Inference Leveraging Synthetic Data with Distribution-Free Guarantees
par: Bashari, Meshi, et autres
Publié: (2025)

Interpretable and Fair Mechanisms for Abstaining Classifiers
par: Lenders, Daphne, et autres
Publié: (2025)

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers
par: Inácio, Ricardo, et autres
Publié: (2025)

Federated Learning with Discriminative Naive Bayes Classifier
par: Torrijos, Pablo, et autres
Publié: (2025)

ZNO: Stable Rational Neural Operators in the Z-Domain for Discrete-Time Dynamics
par: Zhu, Xianli, et autres
Publié: (2026)