Optimal Transport under Group Fairness Constraints
Fuente:
arXiv
Saved in:
| Main Authors: | Bleistein, Linus, Dagréou, Mathieu, Andrade, Francisco, Boudou, Thomas, Bellet, Aurélien |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Transport with Heterogeneously Missing Data
by: Bleistein, Linus, et al.
Published: (2025)
by: Bleistein, Linus, et al.
Published: (2025)
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
by: Khellaf, Rémi, et al.
Published: (2024)
by: Khellaf, Rémi, et al.
Published: (2024)
Sample Complexity of Probability Divergences under Group Symmetry
by: Chen, Ziyu, et al.
Published: (2023)
by: Chen, Ziyu, et al.
Published: (2023)
Marginal and training-conditional guarantees in one-shot federated conformal prediction
by: Humbert, Pierre, et al.
Published: (2024)
by: Humbert, Pierre, et al.
Published: (2024)
Causal Evaluation of Membership Inference Attacks
by: Even, Mathieu, et al.
Published: (2026)
by: Even, Mathieu, et al.
Published: (2026)
On the (In)Compatibility between Group Fairness and Individual Fairness
by: Xu, Shizhou, et al.
Published: (2024)
by: Xu, Shizhou, et al.
Published: (2024)
Optimal Transport for Fairness: Archival Data Repair using Small Research Data Sets
by: Langbridge, Abigail, et al.
Published: (2024)
by: Langbridge, Abigail, et al.
Published: (2024)
Estimation of Stochastic Optimal Transport Maps
by: Nietert, Sloan, et al.
Published: (2025)
by: Nietert, Sloan, et al.
Published: (2025)
Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning
by: Prevost, Adrien, et al.
Published: (2025)
by: Prevost, Adrien, et al.
Published: (2025)
Plugin Estimation of Smooth Optimal Transport Maps
by: Manole, Tudor, et al.
Published: (2021)
by: Manole, Tudor, et al.
Published: (2021)
Byzantine Failures Harm the Generalization of Robust Distributed Learning Algorithms More Than Data Poisoning
by: Boudou, Thomas, et al.
Published: (2025)
by: Boudou, Thomas, et al.
Published: (2025)
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
by: Ponnoprat, Donlapark, et al.
Published: (2026)
by: Ponnoprat, Donlapark, et al.
Published: (2026)
$L^2$ over Wasserstein: Statistical Analysis for Optimal Transport
by: Passeggeri, Riccardo, et al.
Published: (2026)
by: Passeggeri, Riccardo, et al.
Published: (2026)
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
by: Bibaut, Aurelien, et al.
Published: (2022)
by: Bibaut, Aurelien, et al.
Published: (2022)
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
by: Rioux, Gabriel, et al.
Published: (2024)
by: Rioux, Gabriel, et al.
Published: (2024)
Privacy Auditing with Zero (0) Training Run
by: Cebere, Tudor, et al.
Published: (2026)
by: Cebere, Tudor, et al.
Published: (2026)
Optimal Transportation and Alignment Between Gaussian Measures
by: Dandapanthula, Sanjit, et al.
Published: (2025)
by: Dandapanthula, Sanjit, et al.
Published: (2025)
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
by: Genans, Ferdinand, et al.
Published: (2025)
by: Genans, Ferdinand, et al.
Published: (2025)
Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints
by: Luo, Yuetian, et al.
Published: (2024)
by: Luo, Yuetian, et al.
Published: (2024)
On the Optimality of the Median-of-Means Estimator under Adversarial Contamination
by: de Juan, Xabier, et al.
Published: (2025)
by: de Juan, Xabier, et al.
Published: (2025)
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets
by: Landa, Boris, et al.
Published: (2024)
by: Landa, Boris, et al.
Published: (2024)
Minimax Optimal Fair Classification with Bounded Demographic Disparity
by: Zeng, Xianli, et al.
Published: (2024)
by: Zeng, Xianli, et al.
Published: (2024)
Bridging Maximum Likelihood and Optimal Transport for Efficient Inference and Model Selection in Stochastic Block Models
by: Queric, Simon, et al.
Published: (2026)
by: Queric, Simon, et al.
Published: (2026)
Beyond Uncertainty Sets: Leveraging Optimal Transport to Extend Conformal Predictive Distribution to Multivariate Settings
by: Ndiaye, Eugene
Published: (2025)
by: Ndiaye, Eugene
Published: (2025)
Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
by: Agarwal, Medha, et al.
Published: (2026)
by: Agarwal, Medha, et al.
Published: (2026)
Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications
by: Balakrishnan, Sivaraman, et al.
Published: (2025)
by: Balakrishnan, Sivaraman, et al.
Published: (2025)
Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints
by: Zhao, Zifeng, et al.
Published: (2024)
by: Zhao, Zifeng, et al.
Published: (2024)
The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints
by: Kazemi, Hadi, et al.
Published: (2025)
by: Kazemi, Hadi, et al.
Published: (2025)
Randomized Midpoint Method for Log-Concave Sampling under Constraints
by: Yu, Yifeng, et al.
Published: (2024)
by: Yu, Yifeng, et al.
Published: (2024)
Learning from Samples: Inverse Problems over measures via Sharpened Fenchel-Young Losses
by: Andrade, Francisco, et al.
Published: (2025)
by: Andrade, Francisco, et al.
Published: (2025)
Distributional Treatment Effect Estimation across Heterogeneous Sites via Optimal Transport
by: Bateni, Borna, et al.
Published: (2025)
by: Bateni, Borna, et al.
Published: (2025)
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
by: Bleistein, Linus, et al.
Published: (2023)
by: Bleistein, Linus, et al.
Published: (2023)
Error Analysis of Triangular Optimal Transport Maps for Filtering
by: Al-Jarrah, Mohammad, et al.
Published: (2025)
by: Al-Jarrah, Mohammad, et al.
Published: (2025)
A New Perspective On Denoising Based On Optimal Transport
by: Trillos, Nicolas Garcia, et al.
Published: (2023)
by: Trillos, Nicolas Garcia, et al.
Published: (2023)
Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Models
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Learning under Latent Group Sparsity via Diffusion on Networks
by: Ghosh, Subhroshekhar, et al.
Published: (2025)
by: Ghosh, Subhroshekhar, et al.
Published: (2025)
Invariant Feature Extraction Through Conditional Independence and the Optimal Transport Barycenter Problem: the Gaussian case
by: Bounos, Ian, et al.
Published: (2025)
by: Bounos, Ian, et al.
Published: (2025)
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024)
by: Ge, Jiawei, et al.
Published: (2024)
Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity
by: Liang, Tengyuan, et al.
Published: (2024)
by: Liang, Tengyuan, et al.
Published: (2024)
Demistifying Inference after Adaptive Experiments
by: Bibaut, Aurélien, et al.
Published: (2024)
by: Bibaut, Aurélien, et al.
Published: (2024)
Similar Items
-
Optimal Transport with Heterogeneously Missing Data
by: Bleistein, Linus, et al.
Published: (2025) -
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
by: Khellaf, Rémi, et al.
Published: (2024) -
Sample Complexity of Probability Divergences under Group Symmetry
by: Chen, Ziyu, et al.
Published: (2023) -
Marginal and training-conditional guarantees in one-shot federated conformal prediction
by: Humbert, Pierre, et al.
Published: (2024) -
Causal Evaluation of Membership Inference Attacks
by: Even, Mathieu, et al.
Published: (2026)