Imagen de Portada

Demographic Parity Tails for Regression

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Le, Naht Sinh, Denis, Christophe, Hebiri, Mohamed
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Set to Be Fair: Demographic Parity Constraints for Set-Valued Classification
por: Cohen, Eyal, et al.
Publicado: (2025)

Regression under demographic parity constraints via unlabeled post-processing
por: Chzhen, Evgenii, et al.
Publicado: (2024)

Fair regression under localized demographic parity constraints
por: Charpentier, Arthur, et al.
Publicado: (2026)

Fairness Meets Privacy: Integrating Differential Privacy and Demographic Parity in Multi-class Classification
por: Say, Lilian, et al.
Publicado: (2025)

Fair Regression under Demographic Parity: A Unified Framework
por: Feng, Yongzhen, et al.
Publicado: (2026)

EERO: Early Exit with Reject Option for Efficient Classification with limited budget
por: Valade, Florian, et al.
Publicado: (2024)

Meta Optimality for Demographic Parity Constrained Regression via Post-Processing
por: Fukuchi, Kazuto
Publicado: (2025)

Randomized multi-class classification under system constraints: a unified approach via post-processing
por: Chzhen, Evgenii, et al.
Publicado: (2025)

Class conditional conformal prediction for multiple inputs by p-value aggregation
por: Fermanian, Jean-Baptiste, et al.
Publicado: (2025)

Counterfactual Fairness Is Not Demographic Parity, and Other Observations
por: Silva, Ricardo
Publicado: (2024)

Learning Optimal Individualized Decision Rules with Conditional Demographic Parity
por: Cui, Wenhai, et al.
Publicado: (2026)

Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints
por: Singer, Gabriel, et al.
Publicado: (2026)

Decomposing Direct and Indirect Biases in Linear Models under Demographic Parity Constraint
por: Tierny, Bertille, et al.
Publicado: (2025)

On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
por: Lei, Haoyu, et al.
Publicado: (2024)

Accurate, private, secure, federated U-statistics with higher degree
por: Sinh, Quentin, et al.
Publicado: (2026)

High-Dimensional Tail Index Regression
por: Sasaki, Yuya, et al.
Publicado: (2024)

Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity
por: Mattos, João, et al.
Publicado: (2025)

Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update
por: Wang, Jing, et al.
Publicado: (2025)

Understanding Robust Machine Learning for Nonparametric Regression with Heavy-Tailed Noise
por: Feng, Yunlong, et al.
Publicado: (2025)

On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows
por: Tee, Jia Yu, et al.
Publicado: (2023)

Empirical risk minimization algorithm for multiclass classification of S.D.E. paths
por: Denis, Christophe, et al.
Publicado: (2025)

On Volume Minimization in Conformal Regression
por: Bars, Batiste Le, et al.
Publicado: (2025)

Tail Annealing for Heavy-Tailed Flow Matching
por: Pachebat, Jean
Publicado: (2026)

Sparse Linear Regression when Noises and Covariates are Heavy-Tailed and Contaminated by Outliers
por: Sasai, Takeyuki, et al.
Publicado: (2024)

Parity, Sensitivity, and Transformers
por: Kozachinskiy, Alexander, et al.
Publicado: (2026)

Neural Negative Binomial Regression for Weekly Seismicity Forecasting: Per-Cell Dispersion Estimation and Tail Risk Assessment
por: Igilik, Alim
Publicado: (2026)

Unravelling the (In)compatibility of Statistical-Parity and Equalized-Odds
por: Bargh, Mortaza S., et al.
Publicado: (2026)

Hardness of Learning Fixed Parities with Neural Networks
por: Shoshani, Itamar, et al.
Publicado: (2025)

A Mathematical Model for Curriculum Learning for Parities
por: Cornacchia, Elisabetta, et al.
Publicado: (2023)

Loss Gap Parity for Fairness in Heterogeneous Federated Learning
por: Erraji, Brahim, et al.
Publicado: (2026)

Learning High-Degree Parities: The Crucial Role of the Initialization
por: Abbe, Emmanuel, et al.
Publicado: (2024)

Local Statistical Parity for the Estimation of Fair Decision Trees
por: Quintanilla, Andrea, et al.
Publicado: (2025)

Transformers Provably Solve Parity Efficiently with Chain of Thought
por: Kim, Juno, et al.
Publicado: (2024)

Demographic-Agnostic Fairness without Harm
por: Cai, Zhongteng, et al.
Publicado: (2025)

Asynchronous Heavy-Tailed Optimization
por: Sun, Junfei, et al.
Publicado: (2026)

Heavy-Tailed Diffusion Models
por: Pandey, Kushagra, et al.
Publicado: (2024)

Flexible Tails for Normalizing Flows
por: Hickling, Tennessee, et al.
Publicado: (2024)

Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction
por: Zheng, Liangwei Nathan, et al.
Publicado: (2024)

SafeTail: Efficient Tail Latency Optimization in Edge Service Scheduling via Computational Redundancy Management
por: Shokhanda, Jyoti, et al.
Publicado: (2024)

Computationally Efficient Replicable Learning of Parities and Applications
por: Noivirt, Moshe, et al.
Publicado: (2026)