Gradient boosting (XGBoost)

area: Machine learning · 10 papers in the last 7 days

\mathcal{L} = \sum_i l(y_i, \hat y_i) + \sum_k \Omega(f_k),\quad \Omega(f) = \gamma T + \tfrac{1}{2}\lambda \lVert w \rVert^2

Adds trees one at a time, each fitted to the errors of the ensemble so far, with a penalty on tree complexity.

LaTeX: \mathcal{L} = \sum_i l(y_i, \hat y_i) + \sum_k \Omega(f_k),\quad \Omega(f) = \gamma T + \tfrac{1}{2}\lambda \lVert w \rVert^2

Names searched for: XGBoost, gradient boosting, LightGBM, CatBoost, GBDT

Key findings

Gradient boosting (XGBoost) was mentioned in 68 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #13 of the 104 equations and models mentioned.
By journal category: AI (28), Finance (13), Economics (11), Management (10), Operations Research (5) and Accounting (1).
Most of them appeared in Future Business Journal (6), Neural Computing and Applications (6) and Applied Intelligence (5).
Often mentioned together with Random forest (36), Support vector machine (SVM) (25) and Long short-term memory (LSTM) (23).
Datasets named in the same papers: OR-Library (17), Kaggle (4) and S&P 500 (3).
From Apr 2024 to Sep 2026, 445 archived papers mentioned Gradient boosting (XGBoost) in their title, abstract or keywords, most of them in Jun 2025 (31).

Mentions over 30 months

Papers mentioning it by publication month, Apr 2024 to Sep 2026 (titles, abstracts and keywords)
Trend	Apr 24–Sep 24	Oct 24–Sep 25	Oct 25–Sep 26	30 months
	104	295	46	445

Papers mentioning Gradient boosting (XGBoost), newest first. Newest 50 of 68 papers; all of them are in /data/papers.json.
Date	Title	Journal	Authors	Affiliations
2026-10-24	A priority-aware dual-channel feature fusion method for urban rail service traffic classification	Applied Intelligence	Xinpeng Liu, Junhui Zhao, Zhengyuan Wu et al.	Beijing Jiaotong University
2026-10-23	Dynamic prediction of loss given default in Norwegian retail credit card debt: advanced machine learning versus statistical models	Digital Finance	Cathy Ho, Isabel A. C. Sandersen, Espen Selliken et al.	Norwegian University of Science and Technology
2026-10-23	Evaluating machine learning and econometric models for inflation forecasting: evidence from a Sub-Saharan African panel	Future Business Journal	Baffour Osei, Abigail Boatemaa, Isaac Nyame et al.	University of Skills Training and Entrepreneurial Development; University of Bradford; Kwame Nkrumah University of Science and Technology; …
2026-10-23	Learning Dominant States in Elementary Resource Constrained Shortest Path Problems	Annals of Operations Research	Saverio Basso, Alessandro Minoli, Matteo Salani	Dalle Molle Institute for Artificial Intelligence Research
2026-10-22	Research on the spatiotemporal prediction of supply chain finance risk contagion based on a dynamic graph attention diffusion mechanism	Financial Innovation	Yulong Zhang, Yulong Zhang, Yaqing Zhang et al.	Hengshui University; Columbia University
2026-10-22	Hybrid Econometric-Machine Learning Forecasts of a Daily Variance Proxy with Block-Conformal Prediction Bands	Computational Economics	Çağlar Sözen	Giresun University
2026-10-22	The location logic of informal retail: dual-scale evidence from street food vendors in Hangzhou	Journal of Retailing and Consumer Services	Kechen Xu, 陈妤凡, Yong He et al.	Zhejiang A & F University; Zhejiang University of Technology; Zhejiang University
2026-10-21	Leveraging Machine Learning for Profit Forecasting and Cost Optimization Using Public Financial Data	Computational Economics	Bilal Ahmad, Abdu Salam, Mian Abdulbasit et al.	University of Peshawar; Abdul Wali Khan University Mardan; Yeungnam University; …
2026-10-21	Do platform and seller cues improve price prediction? A study on online food delivery platforms using machine learning	Journal of Retailing and Consumer Services	Hai-Dung Do, Nam Tien Duong	Ming Chi University of Technology; University of Economics Ho Chi Minh City; Ho Chi Minh City International University
2026-10-21	Leveraging machine learning in balancing inventories and analyzing market trends: a comprehensive systematic review	Artificial Intelligence Review	Md. Sakhawat Hossain, Md. Sadman Haque, Zobaer Ibn Razzaque et al.	United International University; Dhaka International University
2026-10-17	LLM application in digital asset assessments: mixed methods research	Knowledge and Information Systems	Yann Thorens, Martin Angerer, Pejman Ebrahimi et al.	University of Liechtenstein
2026-10-17	Attention state recognition in intelligent language learning environments using affective computing and eye tracking	Applied Intelligence	Yang Yang, Yongmei Chi, Yongmei Chi et al.	Chongqing Vocational and Technical University of Mechatronics; Chongqing Vocational Institute of Engineering; National University of Malaysia
2026-10-17	Multi-Perspective explainability in traffic prediction: A neuro-symbolic approach using CNN-LSTMs and concept lattices	Applied Intelligence	Suraya Syazwani Mohamad Yusof, Hadhrami Ab Ghani, Nurul Izrin Md Saleh et al.	Universiti Malaysia Kelantan; Universiti Teknikal Malaysia Melaka; University of Technology Malaysia
2026-10-16	Generative deep learning for class imbalance in credit risk modeling: comparative evaluation of synthetic oversampling methods and an elastic oversampling extension	Financial Innovation	Tae Yeon Kwon	Hankuk University of Foreign Studies
2026-10-16	Public technical disclosure of AI implementation in finance: Python-framed evidence from 253 NYSE-listed financial companies	Financial Innovation	Veliota Drakopoulou	Embry–Riddle Aeronautical University
2026-10-16	The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation	Machine Learning	Damian Machlanski, Spyridon Samothrakis, Paul Clarke	University of Edinburgh; University of Essex; Institute for Social and Economic Research
2026-10-15	An interpretable stacked ensemble fault diagnosis model for electric drive systems in new energy vehicles	Expert Systems with Applications	Jiayin Tang, Mingxing Zhao, Guo Sha et al.	Southwest Jiaotong University; West Anhui University; Xiangtan University
2026-10-15	Understanding Financial Text Signals for Sentiment and Portfolio Behavior	Computational Economics	Pradeep Kumar Roy
2026-10-15	Prediction of polyurethane foam density using hybrid feature screening and comparative hyperparameter optimization of machine learning models	Knowledge-Based Systems	Oluwayomi Joel Oyejide, Faiz Ahmad, Joseph Achebo et al.	Universiti Teknologi Petronas; Federal University of Petroleum Resource Effurun; University of Benin; …
2026-10-14	Expected investment and stock returns: A machine learning approach	Journal of Empirical Finance	Yuan Tian	Northern Illinois University
2026-10-13	Intelligent classification of bonding status for building external thermal insulation layers using signal-driven multi-module fusion with ground-penetrating radar	Expert Systems with Applications	Yuhan Li, Changjun Wang, Zihang Jiang et al.	Beijing Institute of Technology; Beijing Building Construction Research Institute (China)
2026-10-10	U.S. sanctions and firm offshore activities: A firm-country analysis using natural language processing	Journal of Accounting and Public Policy	Ling Tuo, Weiwei Wang, Joseph H. Zhang	Old Dominion University; Weber State University; Bowling Green State University
2026-10-10	Decision-Aware and Explainable Credit-Default Prediction: A Reproducible Computational Benchmark of Machine-Learning Models	Computational Economics	Shimaa M. Abd-Elsalam, Ahmed Abdelhafeez	National Research Centre; Applied Science Private University
2026-10-10	Too little too late? Nationwide carbon trading in China	Journal of Public Economics	Shuang Zhang, Douglas Almond	Centre for Economic Policy Research; Imperial College London; National Bureau of Economic Research; …
2026-10-09	How digital intelligence drives corporate green innovation: Evidence from China	Structural Change and Economic Dynamics	Tong Feng, Xiaomin Wang, Tianxin Wang et al.	Tianjin University of Finance and Economics; Qingdao Technical College
2026-10-09	Capturing time-varying uncertainty: Does hyperparameter retuning frequency matter? Evidence from China’s high-frequency data	Pacific-Basin Finance Journal	Lingbing Feng, Wuyan Tao, Haochen Li et al.	Jiangxi University of Finance and Economics
2026-10-09	The naive–power law blend as a robust baseline for bitcoin price forecasting	Digital Finance	Carlos Baquero, Daniel Tinoco	INESC TEC
2026-10-08	A novel graph-based patient embedding method for the diagnosis of Alzheimer’s disease from microRNA expression data	Data Mining and Knowledge Discovery	Veronica Buttaro, Antonio Pellicani, Gianvito Pio et al.	University of Bari Aldo Moro; Consorzio Interuniversitario Nazionale per l'Informatica; National Research Council; …
2026-10-08	Entrepreneurship development, corruption perception, and sustainable development outcomes in emerging economies: the moderating role of digital financial inclusion	Future Business Journal	Seun Adebowale Adebanjo
2026-10-07	Artificial intelligence technologies, skills demand and employment: Evidence from linked job ads	Labour Economics	Lennert Peede, Michael Stops	Institut für Arbeitsmarkt und Berufsforschung
2026-10-07	The conditional value relevance of ESG and innovation disclosures: a multi-method analysis of European firms combining panel econometrics and machine learning	Annals of Operations Research	Andreas Errikos Delegkos, Evangelia Arsenou, Dionisis Cavouras et al.	University of West Attica; University College Dublin
2026-10-07	Bayesian Black-Litterman under Nonlinear Dependence: A Hybrid Framework with GARCH-EVT Marginals, R-Vine Copulas, and Reinforcement Learning for Tactical Portfolio Allocation	Computational Economics	Felipe Mora, Werner Kristjanpoller	Universidad Técnica Federico Santa María
2026-10-07	Discovering session-level demand patterns for reinforcement learning-based dynamic inventory allocation in live-streaming e-commerce	Knowledge and Information Systems	Thi-Linh Ho, Hiep Pham, Hoang Quan Dinh et al.	Ton Duc Thang University; RMIT Vietnam; University of Dubai; …
2026-10-07	Decoding Working Memory Capacity from Gaze and Arousal Dynamics using Machine Learning	Cognitive Computation	Saurabh Sharma, Atif Hassan, Rajlakshmi Guha	Indian Institute of Technology Kharagpur
2026-10-05	Transparent forecasting with XAI: Improving accuracy and trust in electricity demand prediction	Knowledge-Based Systems	Somya Bansal, Vaibhav Baldeva, Asmit Cajla et al.	Thapar Institute of Engineering & Technology; Torrens University Australia; Norwegian University of Science and Technology
2026-10-05	An innovative approach to stock forecasting: combining LSTM, VMD, and artificial rabbit optimization	Future Business Journal	Homa Mehtarizadeh, Najme Mansouri, Behnam Mohammad Hasani Zade et al.	Shahid Bahonar University of Kerman
2026-10-03	An intelligent cybersecurity framework for banking systems: integrating neural networks, large language models, and federated learning for anti-money laundering and fraud detection	Future Business Journal	Tanvir Sajid, Sajida Hafeez	National Textile University
2026-10-03	Does gender predict trader popularity in copy trading?	Journal of Behavioral and Experimental Economics	Mohammadehsan ESLAHI	Audencia Business School
2026-10-03	National digitalization proxies and banking system nonperforming loan ratio forecasts	Finance research letters	Feng Xu, Yuhan Lei	Guizhou University of Finance and Economics
2026-10-03	AI-enabled marketing analytics for SMEs: multimethod evidence on application potential and adoption conditions	Journal of Marketing Analytics	Anita Talitha Parsegyan, Manuel Muth, Michael Lingenfelder	Philipps University of Marburg; Reutlingen University
2026-10-03	Sparse oblique rule boosting for simpler additive rule ensembles	Data Mining and Knowledge Discovery	Shahrzad Behzadimanesh, Pierre Le Bodic, Geoffrey I. Webb et al.	Monash University; University of Haifa
2026-10-01	MCA-DiTGBNet: Attention-Enabled Distributed Transformer-Based LightGBM for Anomaly Detection in IoT Network	Knowledge-Based Systems	Zeeshan Ahmed Mohammed, Mujahedullah Syed, Abdul Junaid Mohammed et al.
2026-10-01	Financial contagion of climate risk: evidence from cross-industry complex networks and machine learning	Energy Economics	Xiao-Li Gong, Zhang Xiu-chao, Xiong Xiong	Qingdao University; Tianjin University
2026-10-01	A self-monitoring explainable AI decision-support architecture for pre-publication content decisions in public-sector communication	Knowledge-Based Systems	Sebastian Paul, Arne Johannssen	Harz University of Applied Sciences
2026-10-01	A machine learning model for the prediction of the US news & world report ranking of the mechanical engineering graduate programs in the United States	Neural Computing and Applications	Faeze Khademi, Nikith Rachakonda, Matias Salazar Ismodes et al.	University of Illinois Chicago
2026-10-01	From Prediction to Decision: A Closed-Loop Decision-Aware Predictive-Prescriptive Framework for Anticipatory Humanitarian Logistics	Socio-Economic Planning Sciences	Leonardo Sanches de Carvalho, Carlos César Ribeiro Santos	Universidade Federal da Bahia; Serviço Nacional de Aprendizagem Industrial
2026-10-01	India VIX regime-conditional directional prediction of bank nifty: a stacking ensemble approach	Neural Computing and Applications	Prakash Ukhalkar, Ravikant Zirmite, Manasi Bhate
2026-10-01	A machine learning framework for prediction and inverse design of micro-hole diameters in titanium drilled by µEDM	Neural Computing and Applications	Anshul Agrawal, Yash Yalamalli, Siddhartha Kar et al.	Ramaiah Institute of Technology
2026-10-01	Patient-independent EEG seizure detection using channel attention and dual-branch time–frequency features	Neural Computing and Applications	Hrishikesh Tiwary, Arnav Bhavsar, H Muralikrishna	Indian Institute of Technology Mandi; Manipal Academy of Higher Education
2026-10-01	Grid-based Decision Tree Learning	Machine Learning	Qin-Cheng Zheng, Shao-Qun Zhang, Shen-Huan Lyu et al.	Nanjing University; Hohai University

Cite this page

Scholar4AI. (2026). Gradient boosting (XGBoost). Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/equations/gradient-boosting-xgboost

@misc{scholar4ai-equations-gradient-boosting-xgboost,
  author = {{Scholar4AI}},
  title = {Gradient boosting (XGBoost)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/equations/gradient-boosting-xgboost}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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