Saved in:
| Main Authors: | Xia, Weichun, Jiang, Jiaxin, Shi, Lei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.14539 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spectral Algorithms on Manifolds through Diffusion
by: Xia, Weichun, et al.
Published: (2024)
by: Xia, Weichun, et al.
Published: (2024)
Mirror Descent on Riemannian Manifolds
by: Jiang, Jiaxin, et al.
Published: (2026)
by: Jiang, Jiaxin, et al.
Published: (2026)
Semi-supervised Fréchet Regression
by: Qiu, Rui, et al.
Published: (2024)
by: Qiu, Rui, et al.
Published: (2024)
Spectral Manifold Harmonization for Graph Imbalanced Regression
by: Nogueira, Brenda, et al.
Published: (2025)
by: Nogueira, Brenda, et al.
Published: (2025)
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)
Toward Robust Semi-supervised Regression via Dual-stream Knowledge Distillation
by: Su, Ye, et al.
Published: (2025)
by: Su, Ye, et al.
Published: (2025)
Graph Neural Diffusion Networks for Semi-supervised Learning
by: Ye, Wei, et al.
Published: (2022)
by: Ye, Wei, et al.
Published: (2022)
Semi-supervised learning for linear extremile regression
by: Jiang, Rong, et al.
Published: (2025)
by: Jiang, Rong, et al.
Published: (2025)
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
by: Duan, Yue, et al.
Published: (2025)
by: Duan, Yue, et al.
Published: (2025)
Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis
by: Jiang, Yicong, et al.
Published: (2025)
by: Jiang, Yicong, et al.
Published: (2025)
Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift
by: Liu, Ren-Rui, et al.
Published: (2025)
by: Liu, Ren-Rui, et al.
Published: (2025)
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression
by: Liu, Jiading, et al.
Published: (2022)
by: Liu, Jiading, et al.
Published: (2022)
Auto-Regressive Moving Diffusion Models for Time Series Forecasting
by: Gao, Jiaxin, et al.
Published: (2024)
by: Gao, Jiaxin, et al.
Published: (2024)
Intrinsic Gaussian Process Regression Modeling for Manifold-valued Response Variable
by: Wang, Zhanfeng, et al.
Published: (2024)
by: Wang, Zhanfeng, et al.
Published: (2024)
Vector Quantile Regression on Manifolds
by: Pegoraro, Marco, et al.
Published: (2023)
by: Pegoraro, Marco, et al.
Published: (2023)
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
by: Yang, Yang, et al.
Published: (2024)
by: Yang, Yang, et al.
Published: (2024)
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
by: Wang, Linshanshan, et al.
Published: (2025)
by: Wang, Linshanshan, et al.
Published: (2025)
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2024)
by: Ma, Qinghe, et al.
Published: (2024)
Contrastive Learning for Semi-Supervised Deep Regression with Generalized Ordinal Rankings from Spectral Seriation
by: Wang, Ce, et al.
Published: (2025)
by: Wang, Ce, et al.
Published: (2025)
Implicit Manifold Gaussian Process Regression
by: Fichera, Bernardo, et al.
Published: (2023)
by: Fichera, Bernardo, et al.
Published: (2023)
Semi-parametric Functional Classification via Path Signatures Logistic Regression
by: Zeng, Pengcheng, et al.
Published: (2025)
by: Zeng, Pengcheng, et al.
Published: (2025)
Demystifying Diffusion Objectives: Reweighted Losses are Better Variational Bounds
by: Shi, Jiaxin, et al.
Published: (2025)
by: Shi, Jiaxin, et al.
Published: (2025)
Semi-Supervised Laplace Learning on Stiefel Manifolds
by: Holtz, Chester, et al.
Published: (2023)
by: Holtz, Chester, et al.
Published: (2023)
CANDI: Hybrid Discrete-Continuous Diffusion Models
by: Pynadath, Patrick, et al.
Published: (2025)
by: Pynadath, Patrick, et al.
Published: (2025)
Probability-density-aware Semi-supervised Learning
by: Liu, Shuyang, et al.
Published: (2024)
by: Liu, Shuyang, et al.
Published: (2024)
Generative Semi-supervised Graph Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2024)
by: Qiao, Hezhe, et al.
Published: (2024)
Incremental Self-training for Semi-supervised Learning
by: Guo, Jifeng, et al.
Published: (2024)
by: Guo, Jifeng, et al.
Published: (2024)
Exploring Probabilistic Models for Semi-supervised Learning
by: Wang, Jianfeng
Published: (2024)
by: Wang, Jianfeng
Published: (2024)
Feature Space Renormalization for Semi-supervised Learning
by: Sun, Jun, et al.
Published: (2023)
by: Sun, Jun, et al.
Published: (2023)
Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
by: Jiang, Zhangqi, et al.
Published: (2025)
by: Jiang, Zhangqi, et al.
Published: (2025)
Spectral Self-supervised Feature Selection
by: Segal, Daniel, et al.
Published: (2024)
by: Segal, Daniel, et al.
Published: (2024)
Spectral Algorithms under Covariate Shift
by: Fan, Jun, et al.
Published: (2025)
by: Fan, Jun, et al.
Published: (2025)
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes
by: Shen, Zhaiming, et al.
Published: (2022)
by: Shen, Zhaiming, et al.
Published: (2022)
Expressive Power of Deep Networks on Manifolds: Simultaneous Approximation
by: Zhou, Hanfei, et al.
Published: (2025)
by: Zhou, Hanfei, et al.
Published: (2025)
Fréchet Regression on the Bures-Wasserstein Manifold
by: Nguyen, Duc Toan, et al.
Published: (2026)
by: Nguyen, Duc Toan, et al.
Published: (2026)
Semi-supervised Batch Learning From Logged Data
by: Aminian, Gholamali, et al.
Published: (2022)
by: Aminian, Gholamali, et al.
Published: (2022)
Manifold Diffusion Fields
by: Elhag, Ahmed A., et al.
Published: (2023)
by: Elhag, Ahmed A., et al.
Published: (2023)
Semi-supervised Domain Adaptation in Graph Transfer Learning
by: Qiao, Ziyue, et al.
Published: (2023)
by: Qiao, Ziyue, et al.
Published: (2023)
Normality Calibration in Semi-supervised Graph Anomaly Detection
by: Zeng, Guolei, et al.
Published: (2025)
by: Zeng, Guolei, et al.
Published: (2025)
Semi-supervised learning with max-margin graph cuts
by: Kveton, Branislav, et al.
Published: (2026)
by: Kveton, Branislav, et al.
Published: (2026)
Similar Items
-
Spectral Algorithms on Manifolds through Diffusion
by: Xia, Weichun, et al.
Published: (2024) -
Mirror Descent on Riemannian Manifolds
by: Jiang, Jiaxin, et al.
Published: (2026) -
Semi-supervised Fréchet Regression
by: Qiu, Rui, et al.
Published: (2024) -
Spectral Manifold Harmonization for Graph Imbalanced Regression
by: Nogueira, Brenda, et al.
Published: (2025) -
Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data
by: Tian, Ye, et al.
Published: (2024)