Saved in:
| Main Authors: | Wang, Jialiang, Bao, Xueyan, Wu, Hao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.16277 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Model
by: Wang, Jialiang, et al.
Published: (2024)
by: Wang, Jialiang, et al.
Published: (2024)
PSLF: A PID Controller-incorporated Second-order Latent Factor Analysis Model for Recommender System
by: Wang, Jialiang, et al.
Published: (2024)
by: Wang, Jialiang, et al.
Published: (2024)
Adaptive Cubic Regularized Second-Order Latent Factor Analysis Model
by: Wang, Jialiang, et al.
Published: (2025)
by: Wang, Jialiang, et al.
Published: (2025)
DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
SASSHA: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation
by: Shin, Dahun, et al.
Published: (2025)
by: Shin, Dahun, et al.
Published: (2025)
Sharpness-aware Federated Graph Learning
by: Li, Ruiyu, et al.
Published: (2025)
by: Li, Ruiyu, et al.
Published: (2025)
Latent Tensor Factorization with Nonlinear PID Control for Missing Data Recovery in Non-Intrusive Load Monitoring
by: Wang, Yiran, et al.
Published: (2025)
by: Wang, Yiran, et al.
Published: (2025)
Solving High-dimensional Inverse Problems Using Amortized Likelihood-free Inference with Noisy and Incomplete Data
by: Zeng, Jice, et al.
Published: (2024)
by: Zeng, Jice, et al.
Published: (2024)
D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data
by: Shu, Hai
Published: (2024)
by: Shu, Hai
Published: (2024)
Water Quality Data Imputation via A Fast Latent Factorization of Tensors with PID-based Optimizer
by: Liu, Qian, et al.
Published: (2025)
by: Liu, Qian, et al.
Published: (2025)
Learning Coupled System Dynamics under Incomplete Physical Constraints and Missing Data
by: Saha, Esha, et al.
Published: (2025)
by: Saha, Esha, et al.
Published: (2025)
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy
by: Tan, Chengli, et al.
Published: (2024)
by: Tan, Chengli, et al.
Published: (2024)
Incomplete Graph Learning: A Comprehensive Survey
by: Xia, Riting, et al.
Published: (2025)
by: Xia, Riting, et al.
Published: (2025)
SAMPa: Sharpness-aware Minimization Parallelized
by: Xie, Wanyun, et al.
Published: (2024)
by: Xie, Wanyun, et al.
Published: (2024)
A Double-Norm Aggregated Tensor Latent Factorization Model for Temporal-Aware Traffic Speed Imputation
by: Hou, Jiawen, et al.
Published: (2025)
by: Hou, Jiawen, et al.
Published: (2025)
Learning Nonlinear Factor Models with Unknown Monotone Links from Incomplete and Noisy Data
by: Chao, Yutong, et al.
Published: (2026)
by: Chao, Yutong, et al.
Published: (2026)
Class-aware and Augmentation-free Contrastive Learning from Label Proportion
by: Wang, Jialiang, et al.
Published: (2024)
by: Wang, Jialiang, et al.
Published: (2024)
Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds
by: Zhang, Shuhai, et al.
Published: (2024)
by: Zhang, Shuhai, et al.
Published: (2024)
Critical Influence of Overparameterization on Sharpness-aware Minimization
by: Shin, Sungbin, et al.
Published: (2023)
by: Shin, Sungbin, et al.
Published: (2023)
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation
by: Long, Junfeng, et al.
Published: (2024)
by: Long, Junfeng, et al.
Published: (2024)
Factored Latent Action World Models
by: Wang, Zizhao, et al.
Published: (2026)
by: Wang, Zizhao, et al.
Published: (2026)
FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling
by: Wang, Haixin, et al.
Published: (2025)
by: Wang, Haixin, et al.
Published: (2025)
Incomplete Data, Complete Dynamics: A Diffusion Approach
by: Zhou, Zihan, et al.
Published: (2025)
by: Zhou, Zihan, et al.
Published: (2025)
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling
by: Jiao, Ruochen, et al.
Published: (2023)
by: Jiao, Ruochen, et al.
Published: (2023)
Learning Cyclic Causal Models from Incomplete Data
by: Sethuraman, Muralikrishnna G., et al.
Published: (2024)
by: Sethuraman, Muralikrishnna G., et al.
Published: (2024)
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities
by: Liu, Yi, et al.
Published: (2025)
by: Liu, Yi, et al.
Published: (2025)
FSRF: Factorization-guided Semantic Recovery for Incomplete Multimodal Sentiment Analysis
by: Liu, Ziyang, et al.
Published: (2025)
by: Liu, Ziyang, et al.
Published: (2025)
CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning
by: Lin, Ronghao, et al.
Published: (2026)
by: Lin, Ronghao, et al.
Published: (2026)
Neural Parameter Estimation with Incomplete Data
by: Sainsbury-Dale, Matthew, et al.
Published: (2025)
by: Sainsbury-Dale, Matthew, et al.
Published: (2025)
Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data
by: Zhang, Anru, et al.
Published: (2018)
by: Zhang, Anru, et al.
Published: (2018)
Conditional Multidimensional Scaling with Incomplete Conditioning Data
by: Bui, Anh Tuan
Published: (2025)
by: Bui, Anh Tuan
Published: (2025)
Kernel Representation and Similarity Measure for Incomplete Data
by: Cao, Yang, et al.
Published: (2025)
by: Cao, Yang, et al.
Published: (2025)
Learning Staged Trees from Incomplete Data
by: Carter, Jack Storror, et al.
Published: (2024)
by: Carter, Jack Storror, et al.
Published: (2024)
Towards Better Performance in Incomplete LDL: Addressing Data Imbalance
by: Kou, Zhiqiang, et al.
Published: (2024)
by: Kou, Zhiqiang, et al.
Published: (2024)
Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data
by: Tian, Ye, et al.
Published: (2024)
by: Tian, Ye, et al.
Published: (2024)
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations
by: Qu, Linhao, et al.
Published: (2024)
by: Qu, Linhao, et al.
Published: (2024)
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
by: Bing, Xin, et al.
Published: (2022)
by: Bing, Xin, et al.
Published: (2022)
Recovering Latent Confounders from High-dimensional Proxy Variables
by: Mankovich, Nathan, et al.
Published: (2024)
by: Mankovich, Nathan, et al.
Published: (2024)
MARIA: a Multimodal Transformer Model for Incomplete Healthcare Data
by: Caruso, Camillo Maria, et al.
Published: (2024)
by: Caruso, Camillo Maria, et al.
Published: (2024)
Sharpness of Minima in Deep Matrix Factorization
by: Kamber, Anil, et al.
Published: (2025)
by: Kamber, Anil, et al.
Published: (2025)
Similar Items
-
Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Model
by: Wang, Jialiang, et al.
Published: (2024) -
PSLF: A PID Controller-incorporated Second-order Latent Factor Analysis Model for Recommender System
by: Wang, Jialiang, et al.
Published: (2024) -
Adaptive Cubic Regularized Second-Order Latent Factor Analysis Model
by: Wang, Jialiang, et al.
Published: (2025) -
DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction
by: Wu, Hao, et al.
Published: (2025) -
SASSHA: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation
by: Shin, Dahun, et al.
Published: (2025)