Imagen de Portada

On Rademacher Complexity-based Generalization Bounds for Deep Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Truong, Lan V.
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Global Convergence Rate of Deep Equilibrium Models with General Activations
por: Truong, Lan V.
Publicado: (2023)

On Rank-Dependent Generalisation Error Bounds for Transformers
por: Truong, Lan V.
Publicado: (2024)

Lean Formalization of Generalization Error Bound by Rademacher Complexity and Dudley's Entropy Integral
por: Sonoda, Sho, et al.
Publicado: (2025)

Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
por: Xiao, Jiancong, et al.
Publicado: (2024)

A Gapped Scale-Sensitive Dimension and Lower Bounds for Offset Rademacher Complexity
por: Jia, Zeyu, et al.
Publicado: (2025)

Optimal Best-Arm Identification under Fixed Confidence with Multiple Optima
por: Truong, Lan V.
Publicado: (2025)

Impact of Positional Encoding: Clean and Adversarial Rademacher Complexity for Transformers under In-Context Regression
por: He, Weiyi, et al.
Publicado: (2025)

Rademacher Complexity of Neural ODEs via Chen-Fliess Series
por: Hanson, Joshua, et al.
Publicado: (2024)

RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function
por: Yu, Yunrui, et al.
Publicado: (2025)

Rademacher Meets Colors: More Expressivity, but at What Cost ?
por: Carrasco, Martin, et al.
Publicado: (2025)

One-Step Early Stopping Strategy using Neural Tangent Kernel Theory and Rademacher Complexity
por: Xavier, Daniel Martin, et al.
Publicado: (2024)

Do we really need the Rademacher complexities?
por: Bartl, Daniel, et al.
Publicado: (2025)

Disentangled and Distilled Encoder for Out-of-Distribution Reasoning with Rademacher Guarantees
por: Rahiminasab, Zahra, et al.
Publicado: (2025)

Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs
por: Hy, Truong Son, et al.
Publicado: (2023)

Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
por: Truong, Quang, et al.
Publicado: (2023)

Resilience of Rademacher chaos of low degree
por: Aigner-Horev, Elad, et al.
Publicado: (2024)

A Margin-based Multiclass Generalization Bound via Geometric Complexity
por: Munn, Michael, et al.
Publicado: (2024)

Data Normalization Strategies for EEG Deep Learning
por: Truong, Dung, et al.
Publicado: (2025)

Transformers Learn Robust In-Context Regression under Distributional Uncertainty
por: Cao, Hoang T. H., et al.
Publicado: (2026)

On the Koopman-Based Generalization Bounds for Multi-Task Deep Learning
por: Mohammadigohari, Mahdi, et al.
Publicado: (2025)

Information-Theoretic Generalization Bounds of Replay-based Continual Learning
por: Wen, Wen, et al.
Publicado: (2025)

Efficient Deep Learning for Medical Imaging: Bridging the Gap Between High-Performance AI and Clinical Deployment
por: Nguyen, Cuong Manh, et al.
Publicado: (2026)

Operator-Based Generalization Bound for Deep Learning: Insights on Multi-Task Learning
por: Mohammadigohari, Mahdi, et al.
Publicado: (2025)

Locally Linear Continual Learning for Time Series based on VC-Theoretical Generalization Bounds
por: Ferreira, Yan V. G., et al.
Publicado: (2026)

Spectrum-Adaptive Generalization Bounds for Trained Deep Transformers
por: Sakai, Mana, et al.
Publicado: (2026)

Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds
por: Chen, Edward, et al.
Publicado: (2025)

Convergence of Adam in Deep ReLU Networks via Directional Complexity and Kakeya Bounds
por: Sridhar, Anupama, et al.
Publicado: (2025)

From Low Intrinsic Dimensionality to Non-Vacuous Generalization Bounds in Deep Multi-Task Learning
por: Zakerinia, Hossein, et al.
Publicado: (2025)

Sample Complexity Bounds for Linear Constrained MDPs with a Generative Model
por: Liu, Xingtu, et al.
Publicado: (2025)

Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model
por: Tarbouriech, Jean, et al.
Publicado: (2026)

A General Constructive Upper Bound on Shallow Neural Nets Complexity
por: Hakl, Frantisek, et al.
Publicado: (2025)

On The Sample Complexity Bounds In Bilevel Reinforcement Learning
por: Gaur, Mudit, et al.
Publicado: (2025)

Improved Generalization Bounds for Transductive Learning by Transductive Local Complexity and Its Applications
por: Yang, Yingzhen
Publicado: (2023)

Rademacher learning rates for iterated random functions
por: Sandrić, Nikola
Publicado: (2025)

Stability-based Generalization Bounds for Variational Inference
por: Wei, Yadi, et al.
Publicado: (2025)

Decoding Motor Behavior Using Deep Learning and Reservoir Computing
por: Lan, Tian
Publicado: (2025)

Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
por: Viallard, Paul, et al.
Publicado: (2024)

Lower Bounds for the Algorithmic Complexity of Learned Indexes
por: Croquevielle, Luis Alberto, et al.
Publicado: (2026)

Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning
por: Barnes, L. P., et al.
Publicado: (2022)

Interpretability and Generalization Bounds for Learning Spatial Physics
por: Queiruga, Alejandro Francisco, et al.
Publicado: (2025)