Cover Image

Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Nang Hung, Nguyen, Phi Le, Truong, Thao Nguyen, Hoang, Trong Nghia, Sugiyama, Masashi
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Cross-Modal Fine-Tuning: Optimizing the Interaction Between Feature Alignment and Target Fitting
by: Tran, Trong Khiem, et al.
Published: (2026)

Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
by: Nguyen, Duong M., et al.
Published: (2025)

ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
by: Dao, Manh Cuong, et al.
Published: (2025)

Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques
by: Dao, Manh Cuong, et al.
Published: (2025)

Boosting Offline Optimizers with Surrogate Sensitivity
by: Dao, Manh Cuong, et al.
Published: (2025)

Variable-Agnostic Causal Exploration for Reinforcement Learning
by: Nguyen, Minh Hoang, et al.
Published: (2024)

Expressive and Scalable Quantum Fusion for Multimodal Learning
by: Nguyen, Tuyen, et al.
Published: (2025)

BRIDGE: Bundle Recommendation via Instruction-Driven Generation
by: Bui, Tuan-Nghia, et al.
Published: (2024)

Diffusion-Inspired Reconfiguration of Transformers for Uncertainty Calibration
by: Dao, Manh Cuong, et al.
Published: (2026)

Black-Box Optimization From Small Offline Datasets via Meta Learning with Synthetic Tasks
by: Fadhel, Azza, et al.
Published: (2026)

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
by: Nguyen, Huu Hiep, et al.
Published: (2026)

FedCert: Federated Accuracy Certification
by: Nguyen, Minh Hieu, et al.
Published: (2024)

Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing
by: Nguyen, Minh, et al.
Published: (2024)

Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)

Spectral Flattening Is All Muon Needs: How Orthogonalization Controls Learning Rate and Convergence
by: Nguyen, Tien-Phat, et al.
Published: (2026)

Sharpness-Aware Teleportation on Riemannian Manifolds
by: Truong, Tuan, et al.
Published: (2023)

Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
by: Weng, Pei-Yau, et al.
Published: (2025)

Revisiting Kernel Attention with Correlated Gaussian Process Representation
by: Bui, Long Minh, et al.
Published: (2025)

Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
by: Hoang, Minh, et al.
Published: (2025)

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience
by: Huynh, Thanh Trung, et al.
Published: (2024)

Hybrid Cross-domain Robust Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)

XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach
by: Nguyen, Truong Thanh Hung, et al.
Published: (2024)

VDInstruct: Zero-Shot Key Information Extraction via Content-Aware Vision Tokenization
by: Nguyen, Son, et al.
Published: (2025)

DANA: Domain-Aware Neurosymbolic Agents for Consistency and Accuracy
by: Luong, Vinh, et al.
Published: (2024)

A Survey of Machine Unlearning
by: Nguyen, Thanh Tam, et al.
Published: (2022)

Offline Model-Based Optimization via Policy-Guided Gradient Search
by: Chemingui, Yassine, et al.
Published: (2024)

FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization
by: Nguyen, Manh Duong, et al.
Published: (2024)

Scalable Variational Causal Discovery Unconstrained by Acyclicity
by: Hoang, Nu, et al.
Published: (2024)

DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)

Universal Multi-Domain Translation via Diffusion Routers
by: Kieu, Duc, et al.
Published: (2025)

BSO: Safety Alignment Is Density Ratio Matching
by: Nguyen, Tien-Phat, et al.
Published: (2026)

Variational Flow Models: Flowing in Your Style
by: Do, Kien, et al.
Published: (2024)

Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows
by: Hoang, Nu, et al.
Published: (2024)

TolerantECG: A Foundation Model for Imperfect Electrocardiogram
by: Nguyen, Huynh Dang, et al.
Published: (2025)

Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
by: Phung, Thu Hang, et al.
Published: (2026)

Dual-Branch HNSW Approach with Skip Bridges and LID-Driven Optimization
by: Nguyen, Hy, et al.
Published: (2025)

Generative Conditional Distributions by Neural (Entropic) Optimal Transport
by: Nguyen, Bao, et al.
Published: (2024)

Toward Cost-efficient Adaptive Clinical Trials in Knee Osteoarthritis with Reinforcement Learning
by: Nguyen, Khanh, et al.
Published: (2024)

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
by: Nguyen, Thanh Tam, et al.
Published: (2024)

SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
by: Do, Dai, et al.
Published: (2025)