Imagen de Portada

On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Xuetong, Gong, Mingming, Manton, Jonathan H., Aickelin, Uwe, Zhu, Jingge
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning Information Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

On the Generalization for Transfer Learning: An Information-Theoretic Analysis
por: Wu, Xuetong, et al.
Publicado: (2022)

Fast Rate Information-theoretic Bounds on Generalization Errors
por: Wu, Xuetong, et al.
Publicado: (2023)

Online Prediction of Stochastic Sequences with High Probability Regret Bounds
por: Frey, Matthias, et al.
Publicado: (2026)

Semi-Supervised Learning under General Causal Models
por: Moore, Archer, et al.
Publicado: (2025)

Beyond Identification: Computing Boolean Functions via Channels
por: Zhu, Jingge, et al.
Publicado: (2026)

A PAC-Bayesian Analysis of Channel-Induced Degradation in Edge Inference
por: He, Yangshuo, et al.
Publicado: (2026)

On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective
por: Dong, Zhiyi, et al.
Publicado: (2025)

Compute-Forward Multiple Access for Gaussian Fast Fading Channels
por: Zhang, Lanwei, et al.
Publicado: (2024)

Power Allocation for Compute-and-Forward over Fading Channels
por: Zhang, Lanwei, et al.
Publicado: (2024)

Compute-Forward Multiple Access for Gaussian MIMO Channels
por: Zhang, Lanwei, et al.
Publicado: (2024)

A DPI-PAC-Bayesian Framework for Generalization Bounds
por: Guan, Muhan, et al.
Publicado: (2025)

On Unified and Sharpened CMI Bounds for Generalization Errors
por: Lu, Yang, et al.
Publicado: (2026)

An Information-Theoretic Analysis of In-Context Learning
por: Jeon, Hong Jun, et al.
Publicado: (2024)

Simultaneous Computation and Communication over MAC
por: Frey, Matthias, et al.
Publicado: (2024)

Block-Sample MAC-Bayes Generalization Bounds
por: Frey, Matthias, et al.
Publicado: (2026)

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning
por: Wang, Zhongwei, et al.
Publicado: (2025)

Mutual Coupling in Holographic MIMO: Physical Modeling and Information-Theoretic Analysis
por: Pizzo, Andrea, et al.
Publicado: (2025)

Robustness in Wireless Distributed Learning: An Information-Theoretic Analysis
por: He, Yangshuo, et al.
Publicado: (2024)

GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning
por: Peng, Yubo, et al.
Publicado: (2024)

Information Theoretic Learning for Diffusion Models with Warm Start
por: Shen, Yirong, et al.
Publicado: (2025)

Besting Good--Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation
por: Han, Yanjun, et al.
Publicado: (2025)

GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks
por: Chen, Lili, et al.
Publicado: (2024)

Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes
por: Chen, Lili, et al.
Publicado: (2023)

Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks
por: Chen, Lili, et al.
Publicado: (2023)

An Information-Theoretic Analysis of Temporal GNNs
por: Farzaneh, Amirmohammad
Publicado: (2024)

An Information Theoretic Analysis of Ghost Modulation
por: Harman, Daniel, et al.
Publicado: (2024)

Efficient and Provably Convergent Computation of Information Bottleneck: A Semi-Relaxed Approach
por: Chen, Lingyi, et al.
Publicado: (2024)

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

Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression
por: Kim, Kwangho, et al.
Publicado: (2026)

Semi-Supervised Learning via Cross-Prediction-Powered Inference for Wireless Systems
por: Sifaou, Houssem, et al.
Publicado: (2024)

Information-Theoretic Analysis of Weak Measurements and Their Reversal
por: Palma, Luis D. Zambrano, et al.
Publicado: (2025)

Information Theoretic Perspective on Representation Learning
por: Pereg, Deborah, et al.
Publicado: (2026)

Multi-Source Peak Age of Information Optimization in Mobile Edge Computing Systems
por: Zhu, Jianhang, et al.
Publicado: (2025)

Optimizing Peak Age of Information in MEC Systems: Computing Preemption and Non-preemption
por: Zhu, Jianhang, et al.
Publicado: (2024)

The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy
por: Emadi, Seyed Morteza
Publicado: (2026)

Information-Energy Capacity Region for SLIPT Systems over Lognormal Fading Channels: A Theoretical and Learning-Based Analysis
por: Khalfet, Nizar, et al.
Publicado: (2025)

Information-Theoretic Limits of Integrated Sensing and Communication with Finite Learning Capacity
por: Ghadi, Farshad Rostami, et al.
Publicado: (2025)

Information Theoretic Analysis of PUF-Based Tamper Protection
por: Maringer, Georg, et al.
Publicado: (2025)

Order Optimal Cascaded Code Distributed Computing With Low Complexity and Improved Flexibility
por: Zhang, Mingming, et al.
Publicado: (2023)

Distributed Source Coding for Parametric and Non-Parametric Regression
por: Wei, Jiahui, et al.
Publicado: (2024)