Different Statistical Perspectives for Understanding Generalisation in Graph Neural Networks
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Ayday, Nil, Sabanayagam, Mahalakshmi, Ghoshdastidar, Debarghya |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Neural Bayes estimation and selection for complex bivariate extremal dependence models
par: André, Lídia M., et autres
Publié: (2025)
par: André, Lídia M., et autres
Publié: (2025)
Error Bounds for Learning with Vector-Valued Random Features
par: Lanthaler, Samuel, et autres
Publié: (2023)
par: Lanthaler, Samuel, et autres
Publié: (2023)
Weak Signals and Heavy Tails: Learning Theory meets Extreme Value Analysis
par: Clémençon, Stephan, et autres
Publié: (2025)
par: Clémençon, Stephan, et autres
Publié: (2025)
Constructive interpolation and generalization rates for neural ODEs: a control perspective
par: Álvarez-López, Antonio, et autres
Publié: (2026)
par: Álvarez-López, Antonio, et autres
Publié: (2026)
Pair Correlation Factor and the Sample Complexity of Gaussian Mixtures
par: Aryan, Farzad
Publié: (2025)
par: Aryan, Farzad
Publié: (2025)
Two-Time-Scale Learning Dynamics: A Population View of Neural Network Training
par: Borghi, Giacomo, et autres
Publié: (2026)
par: Borghi, Giacomo, et autres
Publié: (2026)
A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study
par: Aich, Agnideep, et autres
Publié: (2025)
par: Aich, Agnideep, et autres
Publié: (2025)
Inductive randomness predictors: beyond conformal
par: Vovk, Vladimir
Publié: (2025)
par: Vovk, Vladimir
Publié: (2025)
Teaching and Learning under Deductive Errors
par: Telle, Jan Arne, et autres
Publié: (2026)
par: Telle, Jan Arne, et autres
Publié: (2026)
A Special Case of Quadratic Extrapolation Under the Neural Tangent Kernel
par: Kim, Abiel
Publié: (2025)
par: Kim, Abiel
Publié: (2025)
Machine Collaboration
par: Liu, Qingfeng, et autres
Publié: (2021)
par: Liu, Qingfeng, et autres
Publié: (2021)
Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms
par: Awan, Jordan, et autres
Publié: (2018)
par: Awan, Jordan, et autres
Publié: (2018)
Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity
par: Kratsios, Anastasis, et autres
Publié: (2026)
par: Kratsios, Anastasis, et autres
Publié: (2026)
New Equivalences Between Interpolation and SVMs: Kernels and Structured Features
par: Kaushik, Chiraag, et autres
Publié: (2023)
par: Kaushik, Chiraag, et autres
Publié: (2023)
QGraphLIME - Explaining Quantum Graph Neural Networks
par: Jena, Haribandhu, et autres
Publié: (2025)
par: Jena, Haribandhu, et autres
Publié: (2025)
Online Regularized Learning Algorithms in RKHS with $β$- and $ϕ$-Mixing Sequences
par: Roy, Priyanka, et autres
Publié: (2025)
par: Roy, Priyanka, et autres
Publié: (2025)
Cross Validation for Correlated Data in Regression and Classification Models, with Applications to Deep Learning
par: Yuval, Oren, et autres
Publié: (2025)
par: Yuval, Oren, et autres
Publié: (2025)
Finite-sample confidence regions for spectral clustering and graph centrality
par: Gokavarapu, Chandrasekhar, et autres
Publié: (2026)
par: Gokavarapu, Chandrasekhar, et autres
Publié: (2026)
PurSAMERE: Reliable Adversarial Purification via Sharpness-Aware Minimization of Expected Reconstruction Error
par: Hoang, Vinh, et autres
Publié: (2026)
par: Hoang, Vinh, et autres
Publié: (2026)
Truncated Kernel Stochastic Gradient Descent on Spheres
par: Bai, Jinhui, et autres
Publié: (2024)
par: Bai, Jinhui, et autres
Publié: (2024)
Exact Generalisation Error Exposes Benchmarks Skew Graph Neural Networks Success (or Failure)
par: Ayday, Nil, et autres
Publié: (2025)
par: Ayday, Nil, et autres
Publié: (2025)
Spectral Algorithms under Covariate Shift
par: Fan, Jun, et autres
Publié: (2025)
par: Fan, Jun, et autres
Publié: (2025)
Truncated Kernel Stochastic Gradient Descent with General Losses and Spherical Radial Basis Functions
par: Bai, Jinhui, et autres
Publié: (2025)
par: Bai, Jinhui, et autres
Publié: (2025)
Mathematical Analysis of Hallucination Dynamics in Large Language Models: Uncertainty Quantification, Advanced Decoding, and Principled Mitigation
par: Kiprono, Moses
Publié: (2025)
par: Kiprono, Moses
Publié: (2025)
A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems
par: Katende, Ronald
Publié: (2026)
par: Katende, Ronald
Publié: (2026)
The VOROS: Lifting ROC curves to 3D
par: Ratigan, Christopher, et autres
Publié: (2024)
par: Ratigan, Christopher, et autres
Publié: (2024)
Information criteria for the number of directions of extremes in high-dimensional data
par: Butsch, Lucas, et autres
Publié: (2024)
par: Butsch, Lucas, et autres
Publié: (2024)
Polar Depth for Potentially Heavy-Tailed Data
par: Clemençon, Stephan, et autres
Publié: (2026)
par: Clemençon, Stephan, et autres
Publié: (2026)
Beyond Discreteness: Sample Complexity Analysis of Straight-Through Estimator for 1-bit Quantization
par: Jeong, Halyun, et autres
Publié: (2025)
par: Jeong, Halyun, et autres
Publié: (2025)
Hallucinations Live in Variance
par: Flouro, Aaron R., et autres
Publié: (2026)
par: Flouro, Aaron R., et autres
Publié: (2026)
Unified Robust Boosting
par: Wang, Zhu
Publié: (2021)
par: Wang, Zhu
Publié: (2021)
Understanding the Nature of Generative AI as Threshold Logic in High-Dimensional Space
par: Levin, Ilya
Publié: (2026)
par: Levin, Ilya
Publié: (2026)
Greedy feature selection: Classifier-dependent feature selection via greedy methods
par: Camattari, Fabiana, et autres
Publié: (2024)
par: Camattari, Fabiana, et autres
Publié: (2024)
Statistical Learning with Sublinear Regret of Propagator Models
par: Neuman, Eyal, et autres
Publié: (2023)
par: Neuman, Eyal, et autres
Publié: (2023)
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
par: Ustaomeroglu, Muhammed, et autres
Publié: (2025)
par: Ustaomeroglu, Muhammed, et autres
Publié: (2025)
Batched Nonparametric Bandits via k-Nearest Neighbor UCB
par: Arya, Sakshi
Publié: (2025)
par: Arya, Sakshi
Publié: (2025)
Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information
par: Dai, Chi-Shian, et autres
Publié: (2026)
par: Dai, Chi-Shian, et autres
Publié: (2026)
MMD-Balls as Credal Sets: A PAC-Bayesian Framework for Epistemic Uncertainty in Test-Time Adaptation
par: Ariq, Ahanaf Hasan
Publié: (2026)
par: Ariq, Ahanaf Hasan
Publié: (2026)
A Graph-based Framework for Coverage Analysis in Autonomous Driving
par: Muehlenstädt, Thomas, et autres
Publié: (2026)
par: Muehlenstädt, Thomas, et autres
Publié: (2026)
Efficient Algorithms for Injectivity and Bounded Surjectivity of One-dimensional Nonlinear Cellular Automata
par: Wang, Chen, et autres
Publié: (2023)
par: Wang, Chen, et autres
Publié: (2023)
Documents similaires
-
Neural Bayes estimation and selection for complex bivariate extremal dependence models
par: André, Lídia M., et autres
Publié: (2025) -
Error Bounds for Learning with Vector-Valued Random Features
par: Lanthaler, Samuel, et autres
Publié: (2023) -
Weak Signals and Heavy Tails: Learning Theory meets Extreme Value Analysis
par: Clémençon, Stephan, et autres
Publié: (2025) -
Constructive interpolation and generalization rates for neural ODEs: a control perspective
par: Álvarez-López, Antonio, et autres
Publié: (2026) -
Pair Correlation Factor and the Sample Complexity of Gaussian Mixtures
par: Aryan, Farzad
Publié: (2025)