Cover Image

Additive-Effect Assisted Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jiawei, Yang, Yuhong, Ding, Jie
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Model Privacy: A Unified Framework for Understanding Model Stealing Attacks and Defenses
by: Wang, Ganghua, et al.
Published: (2025)

Assisted Learning for Organizations with Limited Imbalanced Data
by: Chen, Cheng, et al.
Published: (2021)

Skill-based Safe Reinforcement Learning with Risk Planning
by: Zhang, Hanping, et al.
Published: (2025)

Skill-Enhanced Reinforcement Learning Acceleration from Heterogeneous Demonstrations
by: Zhang, Hanping, et al.
Published: (2024)

Multi-Level Additive Modeling for Structured Non-IID Federated Learning
by: Chen, Shutong, et al.
Published: (2024)

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning
by: Zhang, Hanping, et al.
Published: (2025)

Safety Modulation: Enhancing Safety in Reinforcement Learning through Cost-Modulated Rewards
by: Zhang, Hanping, et al.
Published: (2025)

Bridging Dynamics Gaps via Diffusion Schrödinger Bridge for Cross-Domain Reinforcement Learning
by: Zhang, Hanping, et al.
Published: (2026)

Golden Ratio-Based Sufficient Dimension Reduction
by: Yang, Wenjing, et al.
Published: (2024)

Reinforcement Learning-Guided Semi-Supervised Learning
by: Heidari, Marzi, et al.
Published: (2024)

Scalable and Efficient Temporal Graph Representation Learning via Forward Recent Sampling
by: Luo, Yuhong, et al.
Published: (2024)

Learning to Clean: Reinforcement Learning for Noisy Label Correction
by: Heidari, Marzi, et al.
Published: (2025)

Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
by: Kekić, Armin, et al.
Published: (2025)

Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion
by: Alchihabi, Abdullah, et al.
Published: (2024)

Minimax rates of convergence for nonparametric regression under adversarial attacks
by: Peng, Jingfu, et al.
Published: (2024)

On damage of interpolation to adversarial robustness in regression
by: Peng, Jingfu, et al.
Published: (2026)

On the Cone Effect in the Learning Dynamics
by: Zhou, Zhanpeng, et al.
Published: (2025)

Machine Learning-Assisted High-Dimensional Matrix Estimation
by: Tian, Wan, et al.
Published: (2026)

Diffusion Modulation via Environment Mechanism Modeling for Planning
by: Zhang, Hanping, et al.
Published: (2026)

Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
by: Peng, Jingfu, et al.
Published: (2025)

Conformal Prediction Assessment: A Framework for Conditional Coverage Evaluation and Selection
by: Zhou, Zheng, et al.
Published: (2026)

Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity
by: Salih, Ahmed M
Published: (2024)

Single Domain Generalization with Model-aware Parametric Batch-wise Mixup
by: Heidari, Marzi, et al.
Published: (2025)

Review of Machine Learning Methods for Additive Manufacturing of Functionally Graded Materials
by: Karimzadeh, Mohammad, et al.
Published: (2023)

Analyze Additive and Interaction Effects via Collaborative Trees
by: Chi, Chien-Ming
Published: (2024)

Jointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning
by: Jiang, Jiawei, et al.
Published: (2024)

Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representations
by: Alchihabi, Abdullah, et al.
Published: (2024)

Co-data Learning for Bayesian Additive Regression Trees
by: Goedhart, Jeroen M., et al.
Published: (2023)

LocalGCL: Local-aware Contrastive Learning for Graphs
by: Jiang, Haojun, et al.
Published: (2024)

Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies
by: Yu, Jiajie, et al.
Published: (2024)

Higher-Order Causal Structure Learning with Additive Models
by: Enouen, James, et al.
Published: (2025)

Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data
by: Wang, Feifei, et al.
Published: (2023)

Identification of Average Causal Effects in Confounded Additive Noise Models
by: Elahi, Muhammad Qasim, et al.
Published: (2024)

Meta Additive Model: Interpretable Sparse Learning With Auto Weighting
by: Zhang, Xuelin, et al.
Published: (2026)

Multi-Agent Deep Reinforcement Learning for Safe Autonomous Driving with RICS-Assisted MEC
by: Zhang, Xueyao, et al.
Published: (2025)

Neural Additive Experts: Context-Gated Experts for Controllable Model Additivity
by: Xiong, Guangzhi, et al.
Published: (2026)

A Bayesian Additive Regression Tree Model for Learning Conditional Average Treatment Effects in Regression Discontinuity Designs
by: Alcantara, Rafael, et al.
Published: (2025)

Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning
by: Heidari, Marzi, et al.
Published: (2024)

Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints
by: Zhang, Huiling, et al.
Published: (2024)

Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model
by: Yan, Hao, et al.
Published: (2024)