Fourier Analysis on the Boolean Hypercube via Hoeffding Functional Decomposition
Fuente:
arXiv
Saved in:
| Main Authors: | Ferrere, Baptiste, Bousquet, Nicolas, Gamboa, Fabrice, Loubes, Jean-Michel, Muré, Joseph |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exact Functional ANOVA Decomposition for Categorical Inputs Models
by: Ferrere, Baptiste, et al.
Published: (2026)
by: Ferrere, Baptiste, et al.
Published: (2026)
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)
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
by: Bénard, Clément
Published: (2025)
by: Bénard, Clément
Published: (2025)
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)
Variational Inference on the Boolean Hypercube with the Quantum Entropy
by: Beyler, Eliot, et al.
Published: (2024)
by: Beyler, Eliot, et al.
Published: (2024)
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)
Diversity-Preserving K-Armed Bandits, Revisited
by: Hadiji, Hédi, et al.
Published: (2020)
by: Hadiji, Hédi, et al.
Published: (2020)
Fair Graph Neural Network with Supervised Contrastive Regularization
by: Kejani, Mahdi Tavassoli, et al.
Published: (2024)
by: Kejani, Mahdi Tavassoli, et al.
Published: (2024)
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)
On Imbalanced Regression with Hoeffding Trees
by: Alchirch, Pantia-Marina, et al.
Published: (2026)
by: Alchirch, Pantia-Marina, et al.
Published: (2026)
Learning with Differentially Private (Sliced) Wasserstein Gradients
by: Rodríguez-Vítores, David, et al.
Published: (2025)
by: Rodríguez-Vítores, David, et al.
Published: (2025)
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)
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)
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)
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)
When majority rules, minority loses: bias amplification of gradient descent
by: Bachoc, François, et al.
Published: (2025)
by: Bachoc, François, et al.
Published: (2025)
Hoeffding adaptive trees for multi-label classification on data streams
by: Esteban, Aurora, et al.
Published: (2024)
by: Esteban, Aurora, et al.
Published: (2024)
Hoeffding Concept Bottleneck Models with Applications to Overhead Images
by: Bénard, Clément, et al.
Published: (2026)
by: Bénard, Clément, et al.
Published: (2026)
Soft Hoeffding Tree: A Transparent and Differentiable Model on Data Streams
by: Köbschall, Kirsten, et al.
Published: (2024)
by: Köbschall, Kirsten, et al.
Published: (2024)
Probing Cultural Signals in Large Language Models through Author Profiling
by: Lafargue, Valentin, et al.
Published: (2026)
by: Lafargue, Valentin, et al.
Published: (2026)
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)
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)
Conformal inference for regression on Riemannian Manifolds
by: Cholaquidis, Alejandro, et al.
Published: (2023)
by: Cholaquidis, Alejandro, et al.
Published: (2023)
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)
MIHT: A Hoeffding Tree for Time Series Classification using Multiple Instance Learning
by: Esteban, Aurora, et al.
Published: (2026)
by: Esteban, Aurora, et al.
Published: (2026)
Adaptive Hoeffding Tree with Transfer Learning for Streaming Synchrophasor Data Sets
by: Mrabet, Zakaria El, et al.
Published: (2025)
by: Mrabet, Zakaria El, et al.
Published: (2025)
A Lower Bound for the Fourier Entropy of Boolean Functions on the Biased Hypercube
by: Chang, Fan
Published: (2025)
by: Chang, Fan
Published: (2025)
Token-Efficient Change Detection in LLM APIs
by: Chauvin, Timothée, et al.
Published: (2026)
by: Chauvin, Timothée, et al.
Published: (2026)
Hypercube Policy Regularization Framework for Offline Reinforcement Learning
by: Shen, Yi, et al.
Published: (2024)
by: Shen, Yi, et al.
Published: (2024)
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)
Lipschitz bounds for integral kernels
by: Reverdi, Justin, et al.
Published: (2026)
by: Reverdi, Justin, et al.
Published: (2026)
GPU-Accelerated Synthesis of Mixed-Boolean Arithmetic: Beyond Caching
by: Bathie, Gabriel, et al.
Published: (2026)
by: Bathie, Gabriel, et al.
Published: (2026)
Hypercube-Based Retrieval-Augmented Generation for Scientific Question-Answering
by: Shi, Jimeng, et al.
Published: (2025)
by: Shi, Jimeng, et al.
Published: (2025)
Smoothed Agnostic Learning of Halfspaces over the Hypercube
by: Kou, Yiwen, et al.
Published: (2025)
by: Kou, Yiwen, et al.
Published: (2025)
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
by: Pushkin, Denys, et al.
Published: (2024)
by: Pushkin, Denys, et al.
Published: (2024)
Skill or Luck? Return Decomposition via Advantage Functions
by: Pan, Hsiao-Ru, et al.
Published: (2024)
by: Pan, Hsiao-Ru, 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)
Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits
by: Chhaibi, Reda, et al.
Published: (2024)
by: Chhaibi, Reda, et al.
Published: (2024)
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)
Similar Items
-
Exact Functional ANOVA Decomposition for Categorical Inputs Models
by: Ferrere, Baptiste, et al.
Published: (2026) -
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) -
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
by: Bénard, Clément
Published: (2025) -
Evaluating Black-Box Vulnerabilities with Wasserstein-Constrained Data Perturbations
by: Monteiro, Adriana Laurindo, et al.
Published: (2026)