Imagen de Portada

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Vo, Vy, Le, Trung, Vuong, Tung-Long, Zhao, He, Bonilla, Edwin, Phung, Dinh
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Social and Information Networks
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Optimal Transport for Structure Learning Under Missing Data
por: Vo, Vy, et al.
Publicado: (2024)

Ordering-based Causal Discovery via Generalized Score Matching
por: Vo, Vy, et al.
Publicado: (2026)

Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
por: Bui, Anh, et al.
Publicado: (2024)

Why Domain Generalization Fail? A View of Necessity and Sufficiency
por: Vuong, Long-Tung, et al.
Publicado: (2025)

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
por: Vuong, Tung-Long, et al.
Publicado: (2025)

GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
por: Cheng, Le, et al.
Publicado: (2024)

A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation
por: Nguyen, Tuan, et al.
Publicado: (2024)

Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
por: Kim, Junghun, et al.
Publicado: (2024)

Joint Optimal Transport and Embedding for Network Alignment
por: Yu, Qi, et al.
Publicado: (2025)

Diffusion-based Negative Sampling on Graphs for Link Prediction
por: Nguyen, Trung-Kien, et al.
Publicado: (2024)

Optimizing Specific and Shared Parameters for Efficient Parameter Tuning
por: Nguyen, Van-Anh, et al.
Publicado: (2025)

HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
por: Liu, Yanbei, et al.
Publicado: (2025)

Model-Agnostic Fairness Regularization for GNNs with Incomplete Sensitive Information
por: Kejani, Mahdi Tavassoli, et al.
Publicado: (2025)

Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
por: Bui, Anh, et al.
Publicado: (2024)

Silent Abandonment in Contact Centers: Estimating Customer Patience from Uncertain Data
por: Castellanos, Antonio, et al.
Publicado: (2023)

Quantum Intelligence Meets BD-RIS-Enabled AmBC: Challenges, Opportunities, and Practical Insights
por: Khan, Abd Ullah, et al.
Publicado: (2025)

Efficient and Privacy-Preserved Link Prediction via Condensed Graphs
por: Long, Yunbo, et al.
Publicado: (2025)

Securing SIM-Assisted Wireless Networks via Quantum Reinforcement Learning
por: Hoang, Le-Hung, et al.
Publicado: (2026)

Hypergraph Diffusion for High-Order Recommender Systems
por: Sakong, Darnbi, et al.
Publicado: (2025)

Robust Ante-hoc Graph Explainer using Bilevel Optimization
por: Luong, Kha-Dinh, et al.
Publicado: (2023)

Structure-Centric Graph Foundation Model via Geometric Bases
por: He, Xiaodong, et al.
Publicado: (2026)

Heterogeneous Hypergraph Embedding for Recommendation Systems
por: Sakong, Darnbi, et al.
Publicado: (2024)

Efficient Heterogeneous Graph Learning via Random Projection
por: Hu, Jun, et al.
Publicado: (2023)

Connective Viewpoints of Signal-to-Noise Diffusion Models
por: Doan, Khanh, et al.
Publicado: (2024)

Cloned Identity Detection in Social-Sensor Clouds based on Incomplete Profiles
por: Alharbi, Ahmed, et al.
Publicado: (2024)

CORE: Data Augmentation for Link Prediction via Information Bottleneck
por: Dong, Kaiwen, et al.
Publicado: (2024)

Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
por: Doan, Khanh, et al.
Publicado: (2023)

Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
por: Luo, Haocheng, et al.
Publicado: (2025)

H$^2$GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs
por: Nguyen, Trung-Kien, et al.
Publicado: (2025)

Task-Driven Discrete Representation Learning
por: Vuong, Tung-Long
Publicado: (2025)

Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise
por: Luo, Haocheng, et al.
Publicado: (2025)

Optimal Inference in Contextual Stochastic Block Models
por: Duranthon, O., et al.
Publicado: (2023)

Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-training
por: He, Yufei, et al.
Publicado: (2024)

Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models
por: Liu, Kay, et al.
Publicado: (2023)

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval
por: Trung, Quang Hoang, et al.
Publicado: (2024)

Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System
por: Roantree, Mark, et al.
Publicado: (2024)

Communication-Constrained Private Decentralized Online Personalized Mean Estimation
por: Yakimenka, Yauhen, et al.
Publicado: (2025)

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them
por: Bui, Anh, et al.
Publicado: (2025)

Pure Message Passing Can Estimate Common Neighbor for Link Prediction
por: Dong, Kaiwen, et al.
Publicado: (2023)

VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
por: Braun, Guillaume, et al.
Publicado: (2024)