Saved in:
| Main Authors: | Xu, Haijie, Zhang, Chen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.01887 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Quickest Causal Change Point Detection by Adaptive Intervention
by: Xu, Haijie, et al.
Published: (2025)
by: Xu, Haijie, et al.
Published: (2025)
Functional-Edged Network Modeling
by: Xu, Haijie, et al.
Published: (2024)
by: Xu, Haijie, et al.
Published: (2024)
Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region
by: Xu, Haijie, et al.
Published: (2024)
by: Xu, Haijie, et al.
Published: (2024)
Function-on-Function Bayesian Optimization
by: Huang, Jingru, et al.
Published: (2025)
by: Huang, Jingru, et al.
Published: (2025)
Combinatorial Bandit Bayesian Optimization for Tensor Outputs
by: Huang, Jingru, et al.
Published: (2026)
by: Huang, Jingru, et al.
Published: (2026)
Modeling and Discovering Direct Causes for Predictive Models
by: Chen, Yizuo, et al.
Published: (2024)
by: Chen, Yizuo, et al.
Published: (2024)
Discovering Physical Directions in Weight Space: Composing Neural PDE Experts
by: Wang, Pengkai, et al.
Published: (2026)
by: Wang, Pengkai, et al.
Published: (2026)
Discovering Invariant Neighborhood Patterns for Heterophilic Graphs
by: Yang, Jinluan, et al.
Published: (2024)
by: Yang, Jinluan, et al.
Published: (2024)
Discovering Latent Causal Graphs from Spatiotemporal Data
by: Wang, Kun, et al.
Published: (2024)
by: Wang, Kun, et al.
Published: (2024)
Graph Partial Label Learning with Potential Cause Discovering
by: Gao, Hang, et al.
Published: (2024)
by: Gao, Hang, et al.
Published: (2024)
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization
by: Kang, Haidong, et al.
Published: (2025)
by: Kang, Haidong, et al.
Published: (2025)
Temporal Query Network for Efficient Multivariate Time Series Forecasting
by: Lin, Shengsheng, et al.
Published: (2025)
by: Lin, Shengsheng, et al.
Published: (2025)
Directed Homophily-Aware Graph Neural Network
by: Zhang, Aihu, et al.
Published: (2025)
by: Zhang, Aihu, et al.
Published: (2025)
Discovering the Representation Bottleneck of Graph Neural Networks
by: Wu, Fang, et al.
Published: (2022)
by: Wu, Fang, et al.
Published: (2022)
Discovering Universal Activation Directions for PII Leakage in Language Models
by: Marchyok, Leo, et al.
Published: (2026)
by: Marchyok, Leo, et al.
Published: (2026)
A Benchmark on Directed Graph Representation Learning in Hardware Designs
by: Wang, Haoyu, et al.
Published: (2024)
by: Wang, Haoyu, et al.
Published: (2024)
Towards Fine-Grained and Verifiable Concept Bottleneck Models
by: Fang, Yingying, et al.
Published: (2026)
by: Fang, Yingying, et al.
Published: (2026)
Discovering Heterogeneous Treatment Effects in Regression Discontinuity Designs
by: Reguly, Ágoston
Published: (2021)
by: Reguly, Ágoston
Published: (2021)
Decision-Focused Sequential Experimental Design: A Directional Uncertainty-Guided Approach
by: Wan, Beichen, et al.
Published: (2026)
by: Wan, Beichen, et al.
Published: (2026)
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph
by: Zhang, Zhaoyang, et al.
Published: (2024)
by: Zhang, Zhaoyang, et al.
Published: (2024)
RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search
by: Xiong, Jinglong, et al.
Published: (2026)
by: Xiong, Jinglong, et al.
Published: (2026)
Discovering Transmission Dynamics of COVID-19 in China
by: Yang, Zhou, et al.
Published: (2025)
by: Yang, Zhou, et al.
Published: (2025)
Discovering Common Information in Multi-view Data
by: Zhang, Qi, et al.
Published: (2024)
by: Zhang, Qi, et al.
Published: (2024)
Discovering the Precursors of Traffic Breakdowns Using Spatiotemporal Graph Attribution Networks
by: Mo, Zhaobin, et al.
Published: (2025)
by: Mo, Zhaobin, et al.
Published: (2025)
HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
by: Guo, Xingche, et al.
Published: (2024)
by: Guo, Xingche, et al.
Published: (2024)
Mixed Supervised Graph Contrastive Learning for Recommendation
by: Zhang, Weizhi, et al.
Published: (2024)
by: Zhang, Weizhi, et al.
Published: (2024)
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
by: Haas, René, et al.
Published: (2023)
by: Haas, René, et al.
Published: (2023)
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection
by: Xu, Fan, et al.
Published: (2024)
by: Xu, Fan, et al.
Published: (2024)
Graph-Eq: Discovering Mathematical Equations using Graph Generative Models
by: Ranasinghe, Nisal, et al.
Published: (2025)
by: Ranasinghe, Nisal, et al.
Published: (2025)
DPERC: Direct Parameter Estimation for Mixed Data
by: Vo, Tuan L., et al.
Published: (2025)
by: Vo, Tuan L., et al.
Published: (2025)
Policy-Aware Design of Large-Scale Factorial Experiments
by: Wen, Xin, et al.
Published: (2026)
by: Wen, Xin, et al.
Published: (2026)
Discovering Intersectional Bias via Directional Alignment in Face Recognition Embeddings
by: Serna, Ignacio
Published: (2025)
by: Serna, Ignacio
Published: (2025)
Directed Graph Grammars for Sequence-based Learning
by: Sun, Michael, et al.
Published: (2025)
by: Sun, Michael, et al.
Published: (2025)
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
by: Imai, Kosuke, et al.
Published: (2022)
by: Imai, Kosuke, et al.
Published: (2022)
Transformers Discover Molecular Structure Without Graph Priors
by: Kreiman, Tobias, et al.
Published: (2025)
by: Kreiman, Tobias, et al.
Published: (2025)
Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering
by: Varshney, Payal, et al.
Published: (2025)
by: Varshney, Payal, et al.
Published: (2025)
Learning Directed Acyclic Graphs from Partial Orderings
by: Shojaie, Ali, et al.
Published: (2024)
by: Shojaie, Ali, et al.
Published: (2024)
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
by: Fu, Xingbo, et al.
Published: (2025)
by: Fu, Xingbo, et al.
Published: (2025)
Contextual Directed Acyclic Graphs
by: Thompson, Ryan, et al.
Published: (2023)
by: Thompson, Ryan, et al.
Published: (2023)
DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
by: Ke, Zhaoru, et al.
Published: (2024)
by: Ke, Zhaoru, et al.
Published: (2024)
Similar Items
-
Quickest Causal Change Point Detection by Adaptive Intervention
by: Xu, Haijie, et al.
Published: (2025) -
Functional-Edged Network Modeling
by: Xu, Haijie, et al.
Published: (2024) -
Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region
by: Xu, Haijie, et al.
Published: (2024) -
Function-on-Function Bayesian Optimization
by: Huang, Jingru, et al.
Published: (2025) -
Combinatorial Bandit Bayesian Optimization for Tensor Outputs
by: Huang, Jingru, et al.
Published: (2026)