Saved in:
| Main Authors: | Ferrere, Baptiste, Bousquet, Nicolas, Gamboa, Fabrice, Loubes, Jean-Michel, Muré, Joseph |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.02673 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fourier Analysis on the Boolean Hypercube via Hoeffding Functional Decomposition
by: Ferrere, Baptiste, et al.
Published: (2025)
by: Ferrere, Baptiste, et al.
Published: (2025)
Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations
by: Ferrere, Baptiste, et al.
Published: (2026)
by: Ferrere, Baptiste, et al.
Published: (2026)
Hoeffding decomposition of black-box models with dependent inputs
by: Idrissi, Marouane Il, et al.
Published: (2023)
by: Idrissi, Marouane Il, et al.
Published: (2023)
Evaluating Black-Box Vulnerabilities with Wasserstein-Constrained Data Perturbations
by: Monteiro, Adriana Laurindo, et al.
Published: (2026)
by: Monteiro, Adriana Laurindo, et al.
Published: (2026)
Buzz, Choose, Forget: A Meta-Bandit Framework for Bee-Like Decision Making
by: Claeys, Emmanuelle, et al.
Published: (2025)
by: Claeys, Emmanuelle, et al.
Published: (2025)
Neural-ANOVA: Analytical Model Decomposition using Automatic Integration
by: Limmer, Steffen, et al.
Published: (2024)
by: Limmer, Steffen, et al.
Published: (2024)
Model-Agnostic Fairness Regularization for GNNs with Incomplete Sensitive Information
by: Kejani, Mahdi Tavassoli, et al.
Published: (2025)
by: Kejani, Mahdi Tavassoli, et al.
Published: (2025)
Fair Graph Neural Network with Supervised Contrastive Regularization
by: Kejani, Mahdi Tavassoli, et al.
Published: (2024)
by: Kejani, Mahdi Tavassoli, et al.
Published: (2024)
Diversity-Preserving K-Armed Bandits, Revisited
by: Hadiji, Hédi, et al.
Published: (2020)
by: Hadiji, Hédi, et al.
Published: (2020)
Learning with Differentially Private (Sliced) Wasserstein Gradients
by: Rodríguez-Vítores, David, et al.
Published: (2025)
by: Rodríguez-Vítores, David, et al.
Published: (2025)
Homophily-aware Supervised Contrastive Counterfactual Augmented Fair Graph Neural Network
by: Kejani, Mahdi Tavassoli, et al.
Published: (2026)
by: Kejani, Mahdi Tavassoli, et al.
Published: (2026)
When majority rules, minority loses: bias amplification of gradient descent
by: Bachoc, François, et al.
Published: (2025)
by: Bachoc, François, et al.
Published: (2025)
When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness
by: Krco, Natasa, et al.
Published: (2023)
by: Krco, Natasa, et al.
Published: (2023)
Tensor Product Neural Networks for Functional ANOVA Model
by: Park, Seokhun, et al.
Published: (2025)
by: Park, Seokhun, et al.
Published: (2025)
Improved learning theory for kernel distribution regression with two-stage sampling
by: Bachoc, François, et al.
Published: (2023)
by: Bachoc, François, et al.
Published: (2023)
Probing Cultural Signals in Large Language Models through Author Profiling
by: Lafargue, Valentin, et al.
Published: (2026)
by: Lafargue, Valentin, et al.
Published: (2026)
Bayesian Neural Networks for Functional ANOVA model
by: Park, Seokhun, et al.
Published: (2025)
by: Park, Seokhun, et al.
Published: (2025)
Non-asymptotic confidence regions on RKHS. The Paley-Wiener and standard Sobolev space cases
by: Gamboa, Fabrice, et al.
Published: (2025)
by: Gamboa, Fabrice, et al.
Published: (2025)
Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone
by: Shilova, Veronika, et al.
Published: (2025)
by: Shilova, Veronika, et al.
Published: (2025)
Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks
by: Lafargue, Valentin, et al.
Published: (2025)
by: Lafargue, Valentin, et al.
Published: (2025)
Rational ANOVA Networks
by: Zhang, Jusheng, et al.
Published: (2026)
by: Zhang, Jusheng, et al.
Published: (2026)
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
by: Fumagalli, Fabian, et al.
Published: (2024)
by: Fumagalli, Fabian, et al.
Published: (2024)
PLS-based approach for fair representation learning
by: De-Diego, Elena M., et al.
Published: (2025)
by: De-Diego, Elena M., et al.
Published: (2025)
Conformal inference for regression on Riemannian Manifolds
by: Cholaquidis, Alejandro, et al.
Published: (2023)
by: Cholaquidis, Alejandro, et al.
Published: (2023)
Token-Efficient Change Detection in LLM APIs
by: Chauvin, Timothée, et al.
Published: (2026)
by: Chauvin, Timothée, et al.
Published: (2026)
Debiasing Machine Learning Models by Using Weakly Supervised Learning
by: Brotto, Renan D. B., et al.
Published: (2024)
by: Brotto, Renan D. B., et al.
Published: (2024)
ANOVA-boosting for Random Fourier Features
by: Potts, Daniel, et al.
Published: (2024)
by: Potts, Daniel, et al.
Published: (2024)
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models
by: Pu, Mingyu, et al.
Published: (2025)
by: Pu, Mingyu, et al.
Published: (2025)
Lipschitz bounds for integral kernels
by: Reverdi, Justin, et al.
Published: (2026)
by: Reverdi, Justin, et al.
Published: (2026)
Bayesian Additive Regression Trees for functional ANOVA model
by: Park, Seokhun, et al.
Published: (2025)
by: Park, Seokhun, et al.
Published: (2025)
The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex
by: Noé, Paul-Gauthier, et al.
Published: (2025)
by: Noé, Paul-Gauthier, et al.
Published: (2025)
Statistical Edge Detection And UDF Learning For Shape Representation
by: Foy, Virgile, et al.
Published: (2024)
by: Foy, Virgile, et al.
Published: (2024)
Beyond Individual Input for Deep Anomaly Detection on Tabular Data
by: Thimonier, Hugo, et al.
Published: (2023)
by: Thimonier, Hugo, et al.
Published: (2023)
META-ANOVA: Screening interactions for interpretable machine learning
by: Choi, Yongchan, et al.
Published: (2024)
by: Choi, Yongchan, et al.
Published: (2024)
LEVIS: Large Exact Verifiable Input Spaces for Neural Networks
by: Chehade, Mohamad Fares El Hajj, et al.
Published: (2024)
by: Chehade, Mohamad Fares El Hajj, et al.
Published: (2024)
Training More Robust Classification Model via Discriminative Loss and Gaussian Noise Injection
by: Nguyen, Hai-Vy, et al.
Published: (2024)
by: Nguyen, Hai-Vy, et al.
Published: (2024)
Transformation Categorization Based on Group Decomposition Theory Using Parameter Division
by: Komatsu, Takayuki, et al.
Published: (2026)
by: Komatsu, Takayuki, et al.
Published: (2026)
An Early Categorization of Prompt Injection Attacks on Large Language Models
by: Rossi, Sippo, et al.
Published: (2024)
by: Rossi, Sippo, et al.
Published: (2024)
Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces
by: Baba, Kaito, et al.
Published: (2026)
by: Baba, Kaito, et al.
Published: (2026)
Fast and interpretable Support Vector Classification based on the truncated ANOVA decomposition
by: Akhalaya, Kseniya, et al.
Published: (2024)
by: Akhalaya, Kseniya, et al.
Published: (2024)
Similar Items
-
Fourier Analysis on the Boolean Hypercube via Hoeffding Functional Decomposition
by: Ferrere, Baptiste, et al.
Published: (2025) -
Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations
by: Ferrere, Baptiste, et al.
Published: (2026) -
Hoeffding decomposition of black-box models with dependent inputs
by: Idrissi, Marouane Il, et al.
Published: (2023) -
Evaluating Black-Box Vulnerabilities with Wasserstein-Constrained Data Perturbations
by: Monteiro, Adriana Laurindo, et al.
Published: (2026) -
Buzz, Choose, Forget: A Meta-Bandit Framework for Bee-Like Decision Making
by: Claeys, Emmanuelle, et al.
Published: (2025)