Saved in:
| Main Authors: | Heng, Pei, Sun, Yi, Guo, Jianhua |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.08236 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural Networks Perform Sufficient Dimension Reduction
by: Xu, Shuntuo, et al.
Published: (2024)
by: Xu, Shuntuo, et al.
Published: (2024)
Dimension Reduction with Locally Adjusted Graphs
by: Wang, Yingfan, et al.
Published: (2024)
by: Wang, Yingfan, et al.
Published: (2024)
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization
by: Hu, Shouri, et al.
Published: (2024)
by: Hu, Shouri, et al.
Published: (2024)
BMRS: Bayesian Model Reduction for Structured Pruning
by: Wright, Dustin, et al.
Published: (2024)
by: Wright, Dustin, et al.
Published: (2024)
Supervised Dynamic Dimension Reduction with Deep Neural Network
by: Luo, Zhanye, et al.
Published: (2025)
by: Luo, Zhanye, et al.
Published: (2025)
Dimension Reduction for Symbolic Regression
by: Kahlmeyer, Paul, et al.
Published: (2025)
by: Kahlmeyer, Paul, et al.
Published: (2025)
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
by: Hung, Yu-Heng, et al.
Published: (2025)
by: Hung, Yu-Heng, et al.
Published: (2025)
Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction
by: Tang, Yin, et al.
Published: (2024)
by: Tang, Yin, et al.
Published: (2024)
Order-Preserving Dimension Reduction for Multimodal Semantic Embedding
by: Gong, Chengyu, et al.
Published: (2024)
by: Gong, Chengyu, et al.
Published: (2024)
Riemannian Stochastic Optimization for Sufficient Dimension Reduction
by: Pautrel, Thibault, et al.
Published: (2026)
by: Pautrel, Thibault, et al.
Published: (2026)
Dimension Reduction with Prior Information for Knowledge Discovery
by: Bui, Anh Tuan
Published: (2021)
by: Bui, Anh Tuan
Published: (2021)
On Probabilistic Embeddings in Optimal Dimension Reduction
by: Murray, Ryan, et al.
Published: (2024)
by: Murray, Ryan, et al.
Published: (2024)
Golden Ratio-Based Sufficient Dimension Reduction
by: Yang, Wenjing, et al.
Published: (2024)
by: Yang, Wenjing, et al.
Published: (2024)
Structure-Preserving Nonlinear Sufficient Dimension Reduction for Tensors
by: Lin, Dianjun, et al.
Published: (2025)
by: Lin, Dianjun, et al.
Published: (2025)
Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: A Bayesian Deep Learning Approach
by: Xi, Pei, et al.
Published: (2024)
by: Xi, Pei, et al.
Published: (2024)
Deep Adaptive Dimension Reduction for Bayesian Inference in Inverse Problems
by: Wang, Yueyang, et al.
Published: (2026)
by: Wang, Yueyang, et al.
Published: (2026)
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
by: Gao, Shangqian, et al.
Published: (2024)
by: Gao, Shangqian, et al.
Published: (2024)
Rethinking Trust Region Bayesian Optimization in High Dimensions
by: Tang, Wei-Ting, et al.
Published: (2026)
by: Tang, Wei-Ting, et al.
Published: (2026)
Vanilla Bayesian Optimization Performs Great in High Dimensions
by: Hvarfner, Carl, et al.
Published: (2024)
by: Hvarfner, Carl, et al.
Published: (2024)
Structured Partial Stochasticity in Bayesian Neural Networks
by: Rochussen, Tommy
Published: (2024)
by: Rochussen, Tommy
Published: (2024)
Learning Functional Graphs with Nonlinear Sufficient Dimension Reduction
by: Kim, Kyongwon, et al.
Published: (2026)
by: Kim, Kyongwon, et al.
Published: (2026)
Enhancing Sufficient Dimension Reduction via Hellinger Correlation
by: Hong, Seungbeom, et al.
Published: (2024)
by: Hong, Seungbeom, et al.
Published: (2024)
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
by: Park, Giseung, et al.
Published: (2025)
by: Park, Giseung, et al.
Published: (2025)
On Conditional Stochastic Interpolation for Generative Nonlinear Sufficient Dimension Reduction
by: Xu, Shuntuo, et al.
Published: (2025)
by: Xu, Shuntuo, et al.
Published: (2025)
TOAST: Task-Oriented Adaptive Semantic Transmission over Dynamic Wireless Environments
by: Yun, Sheng, et al.
Published: (2025)
by: Yun, Sheng, et al.
Published: (2025)
The Impact of Variable Ordering on Bayesian Network Structure Learning
by: Kitson, Neville K, et al.
Published: (2022)
by: Kitson, Neville K, et al.
Published: (2022)
Differentially Private and Federated Structure Learning in Bayesian Networks
by: Fehri, Ghita Fassy El, et al.
Published: (2025)
by: Fehri, Ghita Fassy El, et al.
Published: (2025)
Graph Structure Learning with Interpretable Bayesian Neural Networks
by: Wasserman, Max, et al.
Published: (2024)
by: Wasserman, Max, et al.
Published: (2024)
An Efficient Procedure for Computing Bayesian Network Structure Learning
by: Huang, Hongming, et al.
Published: (2024)
by: Huang, Hongming, et al.
Published: (2024)
Topology-Aware PAC-Bayesian Generalization Analysis for Graph Neural Networks
by: Yi, Xinping
Published: (2026)
by: Yi, Xinping
Published: (2026)
Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction
by: Dharmakeerthi, Kulunu, et al.
Published: (2024)
by: Dharmakeerthi, Kulunu, et al.
Published: (2024)
EMFusion: An Uncertainty-Aware Conditional Diffusion Framework for Frequency-Selective EMF Forecasting in Wireless Networks
by: Yan, Zijiang, et al.
Published: (2025)
by: Yan, Zijiang, et al.
Published: (2025)
The Benefit of Being Bayesian in Online Conformal Prediction
by: Zhang, Zhiyu, et al.
Published: (2024)
by: Zhang, Zhiyu, et al.
Published: (2024)
Structure Maintained Representation Learning Neural Network for Causal Inference
by: Sun, Yang, et al.
Published: (2025)
by: Sun, Yang, et al.
Published: (2025)
Bayesian Network Structure Discovery Using Large Language Models
by: Zhang, Yinghuan, et al.
Published: (2025)
by: Zhang, Yinghuan, et al.
Published: (2025)
An efficient recursive decomposition algorithm for undirected graphs
by: Heng, Pei, et al.
Published: (2026)
by: Heng, Pei, et al.
Published: (2026)
FlowSDR: Sufficient Dimension Reduction via Conditional Normalizing Flows
by: Dong, Yuexiao, et al.
Published: (2026)
by: Dong, Yuexiao, et al.
Published: (2026)
TensorProjection Layer: A Tensor-Based Dimension Reduction Method in Deep Neural Networks
by: Morimoto, Toshinari, et al.
Published: (2020)
by: Morimoto, Toshinari, et al.
Published: (2020)
Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical Uncertainties
by: Pei, Jianhua, et al.
Published: (2023)
by: Pei, Jianhua, et al.
Published: (2023)
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR
by: Taguchi, Yasunori, et al.
Published: (2024)
by: Taguchi, Yasunori, et al.
Published: (2024)
Similar Items
-
Neural Networks Perform Sufficient Dimension Reduction
by: Xu, Shuntuo, et al.
Published: (2024) -
Dimension Reduction with Locally Adjusted Graphs
by: Wang, Yingfan, et al.
Published: (2024) -
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization
by: Hu, Shouri, et al.
Published: (2024) -
BMRS: Bayesian Model Reduction for Structured Pruning
by: Wright, Dustin, et al.
Published: (2024) -
Supervised Dynamic Dimension Reduction with Deep Neural Network
by: Luo, Zhanye, et al.
Published: (2025)