Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data
Fuente:
arXiv
Guardado en:
| Autores principales: | Nguyen, Son, Wang, Adam, Montillo, Albert |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
scMEDAL for the interpretable analysis of single-cell transcriptomics data with batch effect visualization using a deep mixed effects autoencoder
por: Andrade, Aixa X., et al.
Publicado: (2024)
por: Andrade, Aixa X., et al.
Publicado: (2024)
Fast and effective algorithms for fair clustering at scale
por: Mantuano, Claudio, et al.
Publicado: (2026)
por: Mantuano, Claudio, et al.
Publicado: (2026)
Out-of-distribution generalization of deep-learning surrogates for 2D PDE-generated dynamics in the small-data regime
por: Nguyen, Binh Duong, et al.
Publicado: (2026)
por: Nguyen, Binh Duong, et al.
Publicado: (2026)
On the effects of similarity metrics in decentralized deep learning under distributional shift
por: Zec, Edvin Listo, et al.
Publicado: (2024)
por: Zec, Edvin Listo, et al.
Publicado: (2024)
Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning
por: Dantas, Cassio F., et al.
Publicado: (2024)
por: Dantas, Cassio F., et al.
Publicado: (2024)
Towards a theory of out-of-distribution learning
por: Dey, Jayanta, et al.
Publicado: (2021)
por: Dey, Jayanta, et al.
Publicado: (2021)
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions
por: Tahir, Muhammad, et al.
Publicado: (2025)
por: Tahir, Muhammad, et al.
Publicado: (2025)
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
por: Yazdani-Jahromi, Mehdi, et al.
Publicado: (2024)
por: Yazdani-Jahromi, Mehdi, et al.
Publicado: (2024)
Latent space analysis and generalization to out-of-distribution data
por: Rainey, Katie, et al.
Publicado: (2025)
por: Rainey, Katie, et al.
Publicado: (2025)
Statistically guided deep learning
por: Kohler, Michael, et al.
Publicado: (2025)
por: Kohler, Michael, et al.
Publicado: (2025)
Explaining deep learning for ECG using time-localized clusters
por: Boubekki, Ahcène, et al.
Publicado: (2025)
por: Boubekki, Ahcène, et al.
Publicado: (2025)
Don't throw the baby out with the bathwater: How and why deep learning for ARC
por: Cole, Jack, et al.
Publicado: (2025)
por: Cole, Jack, et al.
Publicado: (2025)
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
por: Zbinden, Robin, et al.
Publicado: (2024)
por: Zbinden, Robin, et al.
Publicado: (2024)
Linear Bandits with Non-i.i.d. Noise
por: Abélès, Baptiste, et al.
Publicado: (2025)
por: Abélès, Baptiste, et al.
Publicado: (2025)
PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing
por: Zhang, Jianhan, et al.
Publicado: (2025)
por: Zhang, Jianhan, et al.
Publicado: (2025)
A distribution-free mixed-integer optimization approach to hierarchical modelling of clustered and longitudinal data
por: Sankaranarayanan, Madhav, et al.
Publicado: (2023)
por: Sankaranarayanan, Madhav, et al.
Publicado: (2023)
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis
por: Ozkan, Ece, et al.
Publicado: (2023)
por: Ozkan, Ece, et al.
Publicado: (2023)
Amortized nonmyopic active search via deep imitation learning
por: Nguyen, Quan, et al.
Publicado: (2024)
por: Nguyen, Quan, et al.
Publicado: (2024)
Reranking individuals: The effect of fair classification within-groups
por: Goethals, Sofie, et al.
Publicado: (2024)
por: Goethals, Sofie, et al.
Publicado: (2024)
MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs
por: Swati, Swati, et al.
Publicado: (2025)
por: Swati, Swati, et al.
Publicado: (2025)
Personalized federated prototype learning in mixed heterogeneous data scenarios
por: Zeng, Jiahao, et al.
Publicado: (2025)
por: Zeng, Jiahao, et al.
Publicado: (2025)
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
por: Sanyal, Amartya, et al.
Publicado: (2024)
por: Sanyal, Amartya, et al.
Publicado: (2024)
Nonlinear denoising score matching for enhanced learning of structured distributions
por: Birrell, Jeremiah, et al.
Publicado: (2024)
por: Birrell, Jeremiah, et al.
Publicado: (2024)
Understanding normalization in contrastive representation learning and out-of-distribution detection
por: Le-Gia, Tai, et al.
Publicado: (2023)
por: Le-Gia, Tai, et al.
Publicado: (2023)
Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method
por: Baluta, Teodora, et al.
Publicado: (2024)
por: Baluta, Teodora, et al.
Publicado: (2024)
Kernel K-means clustering of distributional data
por: Baíllo, Amparo, et al.
Publicado: (2025)
por: Baíllo, Amparo, et al.
Publicado: (2025)
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers
por: Duong, Manh Khoi, et al.
Publicado: (2024)
por: Duong, Manh Khoi, et al.
Publicado: (2024)
SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects
por: Florensa, Alfred Ferrer, et al.
Publicado: (2024)
por: Florensa, Alfred Ferrer, et al.
Publicado: (2024)
Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints
por: Ramos, David, et al.
Publicado: (2025)
por: Ramos, David, et al.
Publicado: (2025)
Dendrogram of mixing measures: Hierarchical clustering and model selection for finite mixture models
por: Do, Dat, et al.
Publicado: (2024)
por: Do, Dat, et al.
Publicado: (2024)
SLIDE: a surrogate fairness constraint to ensure fairness consistency
por: Kim, Kunwoong, et al.
Publicado: (2022)
por: Kim, Kunwoong, et al.
Publicado: (2022)
PLS-based approach for fair representation learning
por: De-Diego, Elena M., et al.
Publicado: (2025)
por: De-Diego, Elena M., et al.
Publicado: (2025)
Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks
por: Yang, Yunfei, et al.
Publicado: (2026)
por: Yang, Yunfei, et al.
Publicado: (2026)
Integrating Newton's Laws with deep learning for enhanced physics-informed compound flood modelling
por: Radfar, Soheil, et al.
Publicado: (2025)
por: Radfar, Soheil, et al.
Publicado: (2025)
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability
por: Sikder, Md Fahim, et al.
Publicado: (2024)
por: Sikder, Md Fahim, et al.
Publicado: (2024)
Simulation-informed deep learning for enhanced SWOT observations of fine-scale ocean dynamics
por: Cutolo, Eugenio, et al.
Publicado: (2025)
por: Cutolo, Eugenio, et al.
Publicado: (2025)
Synthetic Information towards Maximum Posterior Ratio for deep learning on Imbalanced Data
por: Nguyen, Hung, et al.
Publicado: (2024)
por: Nguyen, Hung, et al.
Publicado: (2024)
Discovering interpretable models of scientific image data with deep learning
por: Soelistyo, Christopher J., et al.
Publicado: (2024)
por: Soelistyo, Christopher J., et al.
Publicado: (2024)
The influence of missing data mechanisms and simple missing data handling techniques on fairness
por: Bhatti, Aeysha, et al.
Publicado: (2025)
por: Bhatti, Aeysha, et al.
Publicado: (2025)
FairLangProc: A Python package for fairness in NLP
por: Pérez-Peralta, Arturo, et al.
Publicado: (2025)
por: Pérez-Peralta, Arturo, et al.
Publicado: (2025)
Ejemplares similares
-
scMEDAL for the interpretable analysis of single-cell transcriptomics data with batch effect visualization using a deep mixed effects autoencoder
por: Andrade, Aixa X., et al.
Publicado: (2024) -
Fast and effective algorithms for fair clustering at scale
por: Mantuano, Claudio, et al.
Publicado: (2026) -
Out-of-distribution generalization of deep-learning surrogates for 2D PDE-generated dynamics in the small-data regime
por: Nguyen, Binh Duong, et al.
Publicado: (2026) -
On the effects of similarity metrics in decentralized deep learning under distributional shift
por: Zec, Edvin Listo, et al.
Publicado: (2024) -
Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning
por: Dantas, Cassio F., et al.
Publicado: (2024)