Cover Image

Supervised Score-Based Modeling by Gradient Boosting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Changyuan, Du, Hongyang, Liu, Guangyuan, Niyato, Dusit
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diffusion-Modeled Reinforcement Learning for Carbon and Risk-Aware Microgrid Optimization
by: Zhao, Yunyi, et al.
Published: (2025)

The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles
by: Zhang, Hanwen, et al.
Published: (2024)

Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey
by: Chen, Jiayuan, et al.
Published: (2024)

Scalable Federated Unlearning via Isolated and Coded Sharding
by: Lin, Yijing, et al.
Published: (2024)

Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services
by: Liu, Zhang, et al.
Published: (2024)

Large Language Model (LLM)-enabled Reinforcement Learning for Wireless Network Optimization
by: Zheng, Jie, et al.
Published: (2026)

TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework
by: Zhao, Yang, et al.
Published: (2023)

Generative AI Enabled Matching for 6G Multiple Access
by: Wang, Xudong, et al.
Published: (2024)

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks
by: Du, Baoxia, et al.
Published: (2025)

Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization
by: Li, Yang, et al.
Published: (2025)

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction
by: Yu, Xi, et al.
Published: (2025)

An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models
by: Li, Jinbo, et al.
Published: (2025)

Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
by: Zhang, Hanwen, et al.
Published: (2025)

An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing
by: Zhang, Hanwen, et al.
Published: (2026)

XGrad: Boosting Gradient-Based Optimizers With Weight Prediction
by: Guan, Lei, et al.
Published: (2023)

UTBoost: Gradient Boosted Decision Trees for Uplift Modeling
by: Gao, Junjie, et al.
Published: (2023)

Gradient Boosting Reinforcement Learning
by: Fuhrer, Benjamin, et al.
Published: (2024)

Random Aggregate Beamforming for Over-the-Air Federated Learning in Large-Scale Networks
by: Xu, Chunmei, et al.
Published: (2024)

Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use
by: Liu, Hanbing, et al.
Published: (2026)

Federated Learning-Enabled Hybrid Language Models for Communication-Efficient Token Transmission
by: Solat, Faranaksadat, et al.
Published: (2025)

From Digital Twins to World Models:Opportunities, Challenges, and Applications for Mobile Edge General Intelligence
by: Zheng, Jie, et al.
Published: (2026)

Calibrated Credit Intelligence: Shift-Robust and Fair Risk Scoring with Bayesian Uncertainty and Gradient Boosting
by: Nayak, Srikumar
Published: (2026)

Federated Learning with New Knowledge: Fundamentals, Advances, and Futures
by: Wang, Lixu, et al.
Published: (2024)

Semantic Communications for Artificial Intelligence Generated Content (AIGC) Toward Effective Content Creation
by: Liu, Guangyuan, et al.
Published: (2023)

IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring
by: Cui, Xuan, et al.
Published: (2026)

AXIL: Exact Instance Attribution for Gradient Boosting
by: Geertsema, Paul, et al.
Published: (2023)

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
by: Zhang, Zhenshuo, et al.
Published: (2025)

Pocket Foundation Models: Distilling TFMs into CPU-Ready Gradient-Boosted Trees
by: Tanna, Aditya, et al.
Published: (2026)

Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification
by: Zhang, Xiaoxiong, et al.
Published: (2024)

FPBoost: Fully Parametric Gradient Boosting for Survival Analysis
by: Archetti, Alberto, et al.
Published: (2024)

Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving
by: Su, Wensheng, et al.
Published: (2024)

Gradient Boosting within a Single Attention Layer
by: Sargolzaei, Saleh
Published: (2026)

SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree
by: Fan, Tao, et al.
Published: (2021)

Score-based Integrated Gradient for Root Cause Explanations of Outliers
by: Nguyen, Phuoc, et al.
Published: (2026)

TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
by: Yang, Shenzhi, et al.
Published: (2025)

Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures
by: Abdisarabshali, Payam, et al.
Published: (2025)

Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
by: Silvestri, Mattia, et al.
Published: (2023)

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach
by: Fan, Junchao, et al.
Published: (2025)

Understanding Gradient Boosting Classifier: Training, Prediction, and the Role of $γ_j$
by: Chen, Hung-Hsuan
Published: (2024)

Multi-Agent DRL for V2X Resource Allocation: Disentangling Challenges and Benchmarking Solutions
by: Wang, Siyuan, et al.
Published: (2026)