Imagen de Portada

InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tang, Shiqin, Yu, Shujian
Formato:	Preprint
Publicado:	2025
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

Deep Dynamic Probabilistic Canonical Correlation Analysis
por: Tang, Shiqin, et al.
Publicado: (2025)

Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs
por: Huang, Dong, et al.
Publicado: (2024)

Cauchy-Schwarz Divergence Information Bottleneck for Regression
por: Yu, Shujian, et al.
Publicado: (2024)

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

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

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

An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics
por: Liu, Wenliang, et al.
Publicado: (2024)

Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection
por: Beck, Nathan, et al.
Publicado: (2024)

OVA-IB: One vs All Information Bottleneck for Multi-Modal Alignment
por: Li, Tianchao, et al.
Publicado: (2026)

Information-Theoretic Discrete Diffusion
por: Jeon, Moongyu, et al.
Publicado: (2025)

On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models
por: Wu, Xuetong, et al.
Publicado: (2022)

The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
por: Yu, Shujian, et al.
Publicado: (2023)

Information-Theoretic Proofs for Diffusion Sampling
por: Reeves, Galen, et al.
Publicado: (2025)

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

An Information Theoretic Perspective on Conformal Prediction
por: Correia, Alvaro H. C., et al.
Publicado: (2024)

On the Generalization of Knowledge Distillation: An Information-Theoretic View
por: Li, Bingying, et al.
Publicado: (2026)

Directed Information $γ$-covering: An Information-Theoretic Framework for Context Engineering
por: Huang, Hai
Publicado: (2025)

A Unified Probabilistic Framework for Dictionary Learning with Parsimonious Activation
por: Zhao, Zihui, et al.
Publicado: (2025)

Information-Theoretic Framework for Understanding Modern Machine-Learning
por: Feder, Meir, et al.
Publicado: (2025)

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

Unifying Information-Theoretic and Pair-Counting Clustering Similarity
por: Gates, Alexander J.
Publicado: (2025)

Information-Theoretic Measures on Lattices for High-Order Interactions
por: Liu, Zhaolu, et al.
Publicado: (2024)

Information-Theoretic Generalization Bounds for Deep Neural Networks
por: He, Haiyun, et al.
Publicado: (2024)

Information Theoretic Guarantees For Policy Alignment In Large Language Models
por: Mroueh, Youssef
Publicado: (2024)

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

Forecastability as an Information-Theoretic Limit on Prediction
por: Catt, Peter Maurice
Publicado: (2026)

Rethinking KV Cache Eviction via a Unified Information-Theoretic Objective
por: Yang, Jiaming, et al.
Publicado: (2026)

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

Information-Theoretic Progress Measures reveal Grokking is an Emergent Phase Transition
por: Clauw, Kenzo, et al.
Publicado: (2024)

Analyzing Multimodal Integration in the Variational Autoencoder from an Information-Theoretic Perspective
por: Langer, Carlotta, et al.
Publicado: (2024)

Information-Theoretic Minimax Regret Bounds for Reinforcement Learning based on Duality
por: Bongole, Raghav, et al.
Publicado: (2024)

InfoChess: A Game of Adversarial Inference and a Laboratory for Quantifiable Information Control
por: Murphy, Kieran A.
Publicado: (2026)

Information-Theoretic Generative Clustering of Documents
por: Du, Xin, et al.
Publicado: (2024)

Citation Recommendation using Deep Canonical Correlation Analysis
por: McNamara, Conor, et al.
Publicado: (2025)

Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits
por: Khisti, Ashish, et al.
Publicado: (2024)

An Information-Theoretic Approach to Understanding Transformers' In-Context Learning of Variable-Order Markov Chains
por: Zhou, Ruida, et al.
Publicado: (2024)

Tighter Information-Theoretic Generalization Bounds via a Novel Class of Change of Measure Inequalities
por: Liu, Yanxiao, et al.
Publicado: (2026)

ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
por: Bhattacharya, Sagnik, et al.
Publicado: (2025)

Machine Unlearning via Information Theoretic Regularization
por: Xu, Shizhou, et al.
Publicado: (2025)

An Effective Information Theoretic Framework for Channel Pruning
por: Chen, Yihao, et al.
Publicado: (2024)