Saved in:
| Main Authors: | Li, Chunna, Song, Yiwei, Shao, Yuanhai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.15593 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
by: Zhang, Qingyue, et al.
Published: (2025)
by: Zhang, Qingyue, et al.
Published: (2025)
Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework
by: Zhang, Qingyue, et al.
Published: (2026)
by: Zhang, Qingyue, et al.
Published: (2026)
Option Pricing Using Ensemble Learning
by: Li, Zeyuan, et al.
Published: (2025)
by: Li, Zeyuan, et al.
Published: (2025)
Parameter-Efficient Transfer Learning for Music Foundation Models
by: Ding, Yiwei, et al.
Published: (2024)
by: Ding, Yiwei, et al.
Published: (2024)
Embedding Compression for Teacher-to-Student Knowledge Transfer
by: Ding, Yiwei, et al.
Published: (2024)
by: Ding, Yiwei, et al.
Published: (2024)
Statistical Learning Guarantees for Group-Invariant Barron Functions
by: Yang, Yahong, et al.
Published: (2025)
by: Yang, Yahong, et al.
Published: (2025)
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
by: Montasser, Omar, et al.
Published: (2024)
by: Montasser, Omar, et al.
Published: (2024)
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble
by: Luo, Fan-Ming, et al.
Published: (2022)
by: Luo, Fan-Ming, et al.
Published: (2022)
Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning
by: Wang, Sijia, et al.
Published: (2025)
by: Wang, Sijia, et al.
Published: (2025)
Stochastic Voronoi Ensembles for Anomaly Detection
by: Cao, Yang, et al.
Published: (2026)
by: Cao, Yang, et al.
Published: (2026)
eipy: An Open-Source Python Package for Multi-modal Data Integration using Heterogeneous Ensembles
by: Bennett, Jamie J. R., et al.
Published: (2024)
by: Bennett, Jamie J. R., et al.
Published: (2024)
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning
by: Xu, Ke, et al.
Published: (2024)
by: Xu, Ke, et al.
Published: (2024)
Selection, Ensemble, and Adaptation: Advancing Multi-Source-Free Domain Adaptation via Architecture Zoo
by: Pei, Jiangbo, et al.
Published: (2024)
by: Pei, Jiangbo, et al.
Published: (2024)
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize
by: Li, Chris Junchi
Published: (2024)
by: Li, Chris Junchi
Published: (2024)
Characterization of Transfer Using Multi-task Learning Curves
by: Millinghoffer, András, et al.
Published: (2025)
by: Millinghoffer, András, et al.
Published: (2025)
MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments
by: Du, Honghui, et al.
Published: (2025)
by: Du, Honghui, et al.
Published: (2025)
Learning Compositional Transferability of Time Series for Source-Free Domain Adaptation
by: Sun, Hankang, et al.
Published: (2025)
by: Sun, Hankang, et al.
Published: (2025)
Stochastic Schrödinger Diffusion Models for Pure-State Ensemble Generation
by: Xu, Jian, et al.
Published: (2026)
by: Xu, Jian, et al.
Published: (2026)
Supervised Stochastic Gradient Algorithms for Multi-Trial Source Separation
by: Mehta, Ronak, et al.
Published: (2025)
by: Mehta, Ronak, et al.
Published: (2025)
Physics-Informed Neural Networks for Methane Sorption: Cross-Gas Transfer Learning, Ensemble Collapse Under Physics Constraints, and Monte Carlo Dropout Uncertainty Quantification
by: Nooraiepour, Mohammad, et al.
Published: (2026)
by: Nooraiepour, Mohammad, et al.
Published: (2026)
HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning
by: Hu, Huawen, et al.
Published: (2024)
by: Hu, Huawen, et al.
Published: (2024)
Maximizing Information in Domain-Invariant Representation Improves Transfer Learning
by: Li, Adrian Shuai, et al.
Published: (2023)
by: Li, Adrian Shuai, et al.
Published: (2023)
Monotonic Transformation Invariant Multi-task Learning
by: Murthy, Surya, et al.
Published: (2025)
by: Murthy, Surya, et al.
Published: (2025)
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning
by: Sadrtdinov, Ildus, et al.
Published: (2023)
by: Sadrtdinov, Ildus, et al.
Published: (2023)
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
by: Hu, Kun, et al.
Published: (2025)
by: Hu, Kun, et al.
Published: (2025)
Decomposing Ensemble Spread in Lorenz '96 With Learned Stochastic Parameterizations
by: Kühbacher, Birgit, et al.
Published: (2026)
by: Kühbacher, Birgit, et al.
Published: (2026)
Ensemble Machine Learning and Statistical Procedures for Dynamic Predictions of Time-to-Event Outcomes
by: van Gerwen, Nina, et al.
Published: (2026)
by: van Gerwen, Nina, et al.
Published: (2026)
Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning
by: Shi, Ruxue, et al.
Published: (2025)
by: Shi, Ruxue, et al.
Published: (2025)
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
by: Li, Dong, et al.
Published: (2024)
by: Li, Dong, et al.
Published: (2024)
Post-Transfer Learning Statistical Inference in High-Dimensional Regression
by: Tam, Nguyen Vu Khai, et al.
Published: (2025)
by: Tam, Nguyen Vu Khai, et al.
Published: (2025)
Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
by: Li, Jiaqi, et al.
Published: (2025)
by: Li, Jiaqi, et al.
Published: (2025)
Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling
by: Shen, Xu, et al.
Published: (2025)
by: Shen, Xu, et al.
Published: (2025)
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits
by: Cassel, Asaf, et al.
Published: (2024)
by: Cassel, Asaf, et al.
Published: (2024)
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation
by: Gong, Chenqi, et al.
Published: (2025)
by: Gong, Chenqi, et al.
Published: (2025)
Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
by: Sousa, Rita T., et al.
Published: (2025)
by: Sousa, Rita T., et al.
Published: (2025)
Robust Transfer Learning with Unreliable Source Data
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
An Empirical Study on Ensemble-Based Transfer Learning Bayesian Optimisation with Mixed Variable Types
by: Trinkle, Natasha, et al.
Published: (2026)
by: Trinkle, Natasha, et al.
Published: (2026)
Fractional-order Jacobian Matrix Differentiation and Its Application in Artificial Neural Networks
by: zhou, Xiaojun, et al.
Published: (2025)
by: zhou, Xiaojun, et al.
Published: (2025)
SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning
by: Sun, Jingruo, et al.
Published: (2025)
by: Sun, Jingruo, et al.
Published: (2025)
Sufficient Invariant Learning for Distribution Shift
by: Kim, Taero, et al.
Published: (2022)
by: Kim, Taero, et al.
Published: (2022)
Similar Items
-
A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
by: Zhang, Qingyue, et al.
Published: (2025) -
Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework
by: Zhang, Qingyue, et al.
Published: (2026) -
Option Pricing Using Ensemble Learning
by: Li, Zeyuan, et al.
Published: (2025) -
Parameter-Efficient Transfer Learning for Music Foundation Models
by: Ding, Yiwei, et al.
Published: (2024) -
Embedding Compression for Teacher-to-Student Knowledge Transfer
by: Ding, Yiwei, et al.
Published: (2024)