Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Shengcai, Ou-yang, Hui, Wang, Zhiyuan, Chen, Cheng, Cai, Qijun, Ong, Yew-Soon, Tang, Ke |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
by: Lu, Ning, et al.
Published: (2025)
by: Lu, Ning, et al.
Published: (2025)
Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization
by: Wang, Hongxu, et al.
Published: (2025)
by: Wang, Hongxu, et al.
Published: (2025)
Large Language Models can be Guided to Evade AI-Generated Text Detection
by: Lu, Ning, et al.
Published: (2023)
by: Lu, Ning, et al.
Published: (2023)
Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
by: Jiang, Xia, et al.
Published: (2026)
by: Jiang, Xia, et al.
Published: (2026)
Possibilistic Predictive Uncertainty for Deep Learning
by: Ni, Yao, et al.
Published: (2026)
by: Ni, Yao, et al.
Published: (2026)
A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
by: Wei, Zhao, et al.
Published: (2025)
by: Wei, Zhao, et al.
Published: (2025)
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
by: Chen, Mengmeng, et al.
Published: (2025)
by: Chen, Mengmeng, et al.
Published: (2025)
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
by: Li, Zhilong, et al.
Published: (2024)
by: Li, Zhilong, et al.
Published: (2024)
Multi-Task Learning with Multi-Task Optimization
by: Bai, Lu, et al.
Published: (2024)
by: Bai, Lu, et al.
Published: (2024)
Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization
by: Liu, Shengcai, et al.
Published: (2024)
by: Liu, Shengcai, et al.
Published: (2024)
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs
by: Fan, Flint Xiaofeng, et al.
Published: (2025)
by: Fan, Flint Xiaofeng, et al.
Published: (2025)
Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
by: Tan, Kim Yong, et al.
Published: (2026)
by: Tan, Kim Yong, et al.
Published: (2026)
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)
by: Tan, Kim Yong, et al.
Published: (2025)
Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)
by: Tan, Kim Yong, et al.
Published: (2025)
Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage
by: Cao, Ben, et al.
Published: (2024)
by: Cao, Ben, et al.
Published: (2024)
Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction
by: Chiu, Pao-Hsiung, et al.
Published: (2026)
by: Chiu, Pao-Hsiung, et al.
Published: (2026)
Automated Large-scale CVRP Solver Design via LLM-assisted Flexible MCTS
by: Guo, Tong, et al.
Published: (2026)
by: Guo, Tong, et al.
Published: (2026)
RLBayes: a Bayesian Network Structure Learning Algorithm via Reinforcement Learning-Based Search Strategy
by: Wang, Mingcan, et al.
Published: (2025)
by: Wang, Mingcan, et al.
Published: (2025)
SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture Search
by: Zhou, Yuyang, et al.
Published: (2025)
by: Zhou, Yuyang, et al.
Published: (2025)
Meta-Inverse Physics-Informed Neural Networks for High-Dimensional Ordinary Differential Equations
by: Wei, Zhao, et al.
Published: (2026)
by: Wei, Zhao, et al.
Published: (2026)
Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models
by: Cheng, Hailing, et al.
Published: (2026)
by: Cheng, Hailing, et al.
Published: (2026)
Co-Learning Bayesian Optimization
by: Guo, Zhendong, et al.
Published: (2025)
by: Guo, Zhendong, et al.
Published: (2025)
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs
by: Fang, Lanting, et al.
Published: (2024)
by: Fang, Lanting, et al.
Published: (2024)
Out-of-Distribution Generalization for Neural Physics Solvers
by: Wei, Zhao, et al.
Published: (2026)
by: Wei, Zhao, et al.
Published: (2026)
Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals
by: Wang, Li Rong, et al.
Published: (2025)
by: Wang, Li Rong, et al.
Published: (2025)
Policy Dispersion in Non-Markovian Environment
by: Qu, Bohao, et al.
Published: (2023)
by: Qu, Bohao, et al.
Published: (2023)
A Simple Yet Effective Approach for Diversified Session-Based Recommendation
by: Yin, Qing, et al.
Published: (2024)
by: Yin, Qing, et al.
Published: (2024)
Hierarchically Robust Zero-shot Vision-language Models
by: Dong, Junhao, et al.
Published: (2026)
by: Dong, Junhao, et al.
Published: (2026)
Scalable Learning in Structured Recurrent Spiking Neural Networks without Backpropagation
by: Tang, Bo, et al.
Published: (2026)
by: Tang, Bo, et al.
Published: (2026)
Adaptive In-Context Learning with Large Language Models for Bundle Generation
by: Sun, Zhu, et al.
Published: (2023)
by: Sun, Zhu, et al.
Published: (2023)
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
by: Xie, Jiahao, et al.
Published: (2023)
by: Xie, Jiahao, et al.
Published: (2023)
Bridging the Gap Between Bayesian Deep Learning and Ensemble Weather Forecasts
by: Xiong, Xinlei, et al.
Published: (2025)
by: Xiong, Xinlei, et al.
Published: (2025)
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
by: Cao, Xiaofeng, et al.
Published: (2025)
by: Cao, Xiaofeng, et al.
Published: (2025)
Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
by: He, Xin, et al.
Published: (2025)
by: He, Xin, et al.
Published: (2025)
A Real-time Multimodal Transformer Neural Network-powered Wildfire Forecasting System
by: Chen, Qijun, et al.
Published: (2025)
by: Chen, Qijun, et al.
Published: (2025)
Evolvable Conditional Diffusion
by: Wei, Zhao, et al.
Published: (2025)
by: Wei, Zhao, et al.
Published: (2025)
Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening
by: Yang, Zhangfan, et al.
Published: (2024)
by: Yang, Zhangfan, et al.
Published: (2024)
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation
by: Feng, Shanshan, et al.
Published: (2024)
by: Feng, Shanshan, et al.
Published: (2024)
Mitigating Prior Errors in Causal Structure Learning: A Resilient Approach via Bayesian Networks
by: Chen, Lyuzhou, et al.
Published: (2023)
by: Chen, Lyuzhou, et al.
Published: (2023)
Generalization Performance of Ensemble Clustering: From Theory to Algorithm
by: Zhang, Xu, et al.
Published: (2025)
by: Zhang, Xu, et al.
Published: (2025)
Similar Items
-
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
by: Lu, Ning, et al.
Published: (2025) -
Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization
by: Wang, Hongxu, et al.
Published: (2025) -
Large Language Models can be Guided to Evade AI-Generated Text Detection
by: Lu, Ning, et al.
Published: (2023) -
Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
by: Jiang, Xia, et al.
Published: (2026) -
Possibilistic Predictive Uncertainty for Deep Learning
by: Ni, Yao, et al.
Published: (2026)