Image de couverture de livre

Fair Classification by Direct Intervention on Operating Characteristics

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jiang, Kevin, Dobriban, Edgar
Format:	Preprint
Publié:	2025
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

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

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

Bayes-Optimal Classifiers under Group Fairness
par: Zeng, Xianli, et autres
Publié: (2022)

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

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

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

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

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

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

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)

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)

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

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

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)

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

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

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

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

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

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

FairGLVQ: Fairness in Partition-Based Classification
par: Störck, Felix, et autres
Publié: (2024)

Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification
par: Song, Xiaobin, et autres
Publié: (2024)

Conformal Information Pursuit for Interactively Guiding Large Language Models
par: Chan, Kwan Ho Ryan, et autres
Publié: (2025)

Fairness, Accuracy, and Unreliable Data
par: Stangl, Kevin
Publié: (2024)

Jailbreaking Black Box Large Language Models in Twenty Queries
par: Chao, Patrick, et autres
Publié: (2023)

Minimax Group Fairness in Strategic Classification
par: Diana, Emily, et autres
Publié: (2024)

On the Power of Randomization in Fair Classification and Representation
par: Agarwal, Sushant, et autres
Publié: (2024)

Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning
par: Li, Dongyue, et autres
Publié: (2025)

Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity
par: Kolling, Camila, et autres
Publié: (2023)

Investigating Data Interventions for Subgroup Fairness: An ICU Case Study
par: Tan, Erin, et autres
Publié: (2026)

FairML: A Julia Package for Fair Classification
par: Burgard, Jan Pablo, et autres
Publié: (2024)

AdapFair: Ensuring Adaptive Fairness for Machine Learning Operations
par: Huang, Yinghui, et autres
Publié: (2024)

Minimizing Human Intervention in Online Classification
par: Réveillard, William, et autres
Publié: (2025)

Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables
par: Chikahara, Yoichi
Publié: (2026)

Uncertainty-Aware Fairness-Adaptive Classification Trees
par: Gottard, Anna, et autres
Publié: (2024)