Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Stocksieker, Samuel, pommeret, Denys, Charpentier, Arthur |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data Augmentation with Variational Autoencoder for Imbalanced Dataset
by: Stocksieker, Samuel, et al.
Published: (2024)
by: Stocksieker, Samuel, et al.
Published: (2024)
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets
by: Stocksieker, Samuel, et al.
Published: (2024)
by: Stocksieker, Samuel, et al.
Published: (2024)
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
by: Wang, Ziyan, et al.
Published: (2023)
by: Wang, Ziyan, et al.
Published: (2023)
Fairness in Multi-Task Learning via Wasserstein Barycenters
by: Hu, François, et al.
Published: (2023)
by: Hu, François, et al.
Published: (2023)
A Sequentially Fair Mechanism for Multiple Sensitive Attributes
by: Hu, François, et al.
Published: (2023)
by: Hu, François, et al.
Published: (2023)
Error Distribution Smoothing:Advancing Low-Dimensional Imbalanced Regression
by: Chen, Donghe, et al.
Published: (2025)
by: Chen, Donghe, et al.
Published: (2025)
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness
by: Machado, Agathe Fernandes, et al.
Published: (2024)
by: Machado, Agathe Fernandes, et al.
Published: (2024)
Uncertainty Voting Ensemble for Imbalanced Deep Regression
by: Jiang, Yuchang, et al.
Published: (2023)
by: Jiang, Yuchang, et al.
Published: (2023)
ConR: Contrastive Regularizer for Deep Imbalanced Regression
by: Keramati, Mahsa, et al.
Published: (2023)
by: Keramati, Mahsa, et al.
Published: (2023)
Fair regression under localized demographic parity constraints
by: Charpentier, Arthur, et al.
Published: (2026)
by: Charpentier, Arthur, et al.
Published: (2026)
EquiPy: Sequential Fairness using Optimal Transport in Python
by: Machado, Agathe Fernandes, et al.
Published: (2025)
by: Machado, Agathe Fernandes, et al.
Published: (2025)
Beyond Procedure: Substantive Fairness in Conformal Prediction
by: Liu, Pengqi, et al.
Published: (2026)
by: Liu, Pengqi, et al.
Published: (2026)
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression
by: Pu, Ruizhi, et al.
Published: (2024)
by: Pu, Ruizhi, et al.
Published: (2024)
Imbalanced Regression Pipeline Recommendation
by: Avelino, Juscimara G., et al.
Published: (2025)
by: Avelino, Juscimara G., et al.
Published: (2025)
Deep Bootstrap
by: Chang, Jinyuan, et al.
Published: (2026)
by: Chang, Jinyuan, et al.
Published: (2026)
Imbalance in Regression Datasets
by: Kowatsch, Daniel, et al.
Published: (2024)
by: Kowatsch, Daniel, et al.
Published: (2024)
More Data or Better Algorithms: Latent Diffusion Augmentation for Deep Imbalanced Regression
by: Alahyari, Shayan
Published: (2025)
by: Alahyari, Shayan
Published: (2025)
Fair Anomaly Detection For Imbalanced Groups
by: Wu, Ziwei, et al.
Published: (2024)
by: Wu, Ziwei, et al.
Published: (2024)
On Imbalanced Regression with Hoeffding Trees
by: Alchirch, Pantia-Marina, et al.
Published: (2026)
by: Alchirch, Pantia-Marina, et al.
Published: (2026)
Histogram Approaches for Imbalanced Data Streams Regression
by: Aminian, Ehsan, et al.
Published: (2025)
by: Aminian, Ehsan, et al.
Published: (2025)
Fair for a few: Improving Fairness in Doubly Imbalanced Datasets
by: Yalcin, Ata, et al.
Published: (2025)
by: Yalcin, Ata, et al.
Published: (2025)
Decomposing Direct and Indirect Biases in Linear Models under Demographic Parity Constraint
by: Tierny, Bertille, et al.
Published: (2025)
by: Tierny, Bertille, et al.
Published: (2025)
KNN and K-means in Gini Prametric Spaces
by: Mussard, Cassandra, et al.
Published: (2025)
by: Mussard, Cassandra, et al.
Published: (2025)
Improve Representation for Imbalanced Regression through Geometric Constraints
by: Dong, Zijian, et al.
Published: (2025)
by: Dong, Zijian, et al.
Published: (2025)
IM-Context: In-Context Learning for Imbalanced Regression Tasks
by: Nejjar, Ismail, et al.
Published: (2024)
by: Nejjar, Ismail, et al.
Published: (2024)
Decomposing Probabilistic Scores: Reliability, Information Loss and Uncertainty
by: Charpentier, Arthur, et al.
Published: (2026)
by: Charpentier, Arthur, et al.
Published: (2026)
Spectral Manifold Harmonization for Graph Imbalanced Regression
by: Nogueira, Brenda, et al.
Published: (2025)
by: Nogueira, Brenda, et al.
Published: (2025)
Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data
by: Lammers, Kathrin, et al.
Published: (2025)
by: Lammers, Kathrin, et al.
Published: (2025)
CARTGen-IR: Synthetic Tabular Data Generation for Imbalanced Regression
by: Pinheiro, António Pedro, et al.
Published: (2025)
by: Pinheiro, António Pedro, et al.
Published: (2025)
The Impact of Bootstrap Sampling Rate on Random Forest Performance in Regression Tasks
by: Iwaniuk, Michał, et al.
Published: (2025)
by: Iwaniuk, Michał, et al.
Published: (2025)
FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction
by: Zhao, Sichen, et al.
Published: (2025)
by: Zhao, Sichen, et al.
Published: (2025)
Examining Imbalance Effects on Performance and Demographic Fairness of Clinical Language Models
by: Jones, Precious, et al.
Published: (2024)
by: Jones, Precious, et al.
Published: (2024)
Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression
by: Kim, Juno, et al.
Published: (2025)
by: Kim, Juno, et al.
Published: (2025)
Intersectional Divergence: Measuring Fairness in Regression
by: Germino, Joe, et al.
Published: (2025)
by: Germino, Joe, et al.
Published: (2025)
Measuring and Mitigating Biases in Motor Insurance Pricing
by: Moriah, Mulah, et al.
Published: (2023)
by: Moriah, Mulah, et al.
Published: (2023)
Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet Transport
by: Machado, Agathe Fernandes, et al.
Published: (2025)
by: Machado, Agathe Fernandes, et al.
Published: (2025)
Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation
by: Ahn, Dawon, et al.
Published: (2025)
by: Ahn, Dawon, et al.
Published: (2025)
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression
by: Du, Yao, et al.
Published: (2026)
by: Du, Yao, et al.
Published: (2026)
On the Consistency of Fairness Measurement Methods for Regression Tasks
by: Almajed, Abdalwahab, et al.
Published: (2024)
by: Almajed, Abdalwahab, et al.
Published: (2024)
Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression
by: Clarté, Lucas, et al.
Published: (2024)
by: Clarté, Lucas, et al.
Published: (2024)
Similar Items
-
Data Augmentation with Variational Autoencoder for Imbalanced Dataset
by: Stocksieker, Samuel, et al.
Published: (2024) -
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets
by: Stocksieker, Samuel, et al.
Published: (2024) -
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
by: Wang, Ziyan, et al.
Published: (2023) -
Fairness in Multi-Task Learning via Wasserstein Barycenters
by: Hu, François, et al.
Published: (2023) -
A Sequentially Fair Mechanism for Multiple Sensitive Attributes
by: Hu, François, et al.
Published: (2023)