Gradient Boosted Decision Tree

Follow this topic Ask about this topic

Momentum

1 paper in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 35

All topics

HiER-BLS: A Hierarchy-Guided and Error-Correcting Robust Incremental Broad Learning System
Oct 5, 2026Gongli Zhang, C. L. Philip Chen, Zhulin LiuLearnability Gradient Boosted Decision Tree
Guangdong Provincial Key Laboratory of Computational AI Models and Cognitive Intelligence, the School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China, also with the Pazhou Lab, Guangzhou 510335, China, and also with the Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human, Guangzhou 510641, China
Estimating Pedestrian Volumes from GIS-Derived Built-Environment Features: A Machine Learning Framework
Sep 14, 2026Bahareh Golchin, Banafsheh Rekabdar, Sirisha Kothuri +1Urban Environments Gradient Boosted Decision Tree
Department of Computer Science, Portland State University Portland, Oregon, USA · Dept. of Civil and Environmental Engineering, Portland State University Portland, Oregon, USA · Transportation Research and Education Center (TREC), Portland State University Portland, Oregon, USA
Double Descent in Gradient Boosting Decision Trees via Split-Candidate Scaling
Aug 4, 2026Ryuichi KanohGradient Boosted Decision Tree Decision Trees
1The University of Electro-Communications · 2National Institute of Informatics
Conditioning Tree-Based Diffusions and Flows for Probabilistic Tabular Regression
Jul 30, 2026Silas KoemenGradient Boosted Decision Tree Diffusion Models
Independent Researcher
Detection, Attribution, Narration: An End-to-End Pipeline for Explainable Money Mule Identification
Jul 20, 2026Yuge Zhang, Yuanxing Zhang, Yichao Jin +7Fraud Detection Artificial Intelligence Detection
OCBC, Singapore
Investigation of Polycystic Ovary Syndrome (PCOS) Diagnosis Using Machine Learning Approaches
Jul 18, 2026Al Zadid Sultan Bin Habib, Md Asif Bin Syed, Md. Ekramul Islam +1Gradient Boosted Decision Tree Diagnosis
Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA · Department of Industrial and Management Systems Engineering, West Virginia University, Morgantown, WV 26506, USA · Department of Computer Science & Engineering, Stamford University Bangladesh, Dhaka-1217, Bangladesh +1
Parallel gradient boosting for flexible estimation of conditional distributions
Jul 15, 2026Rémy Chapelle, Nicolas Vayatis, Bruno Falissard +1Multi-Quantile Regression Conditional Distribution
CESP, CB, EVDG · Université Paris-Saclay, UVSQ, Inserm, CESP, 94807, Villejuif, France · CB +2
Physically Consistent Parameter Inference: Transparent Machine Learning Emulation in High Energy Physics and Cosmology
Jul 14, 2026Jorge Alda, Jacobo Asorey, Alejandro Mir +1Gradient Boosted Decision Tree Cosmology
Dipartimento di Fisica e Astronomia “Galileo Galilei”, Universit`a degli Studi di Padova & INFN Sezione di Padova, via Marzolo 8, 35131 Padova, Italy · Centro de Astropart´ıculas y F´ısica de Altas Energ´ıas (CAPA), Pedro Cerbuna 12 50009 Zaragoza, Spain · Departamento de F´ısica Te´orica, Facultad de Ciencias, Universidad de Zaragoza, Pedro Cerbuna 12, E-50009 Zaragoza, Spain
TabLoRA: Parameter-Efficient Low-Rank Ensemble Learning for Large-Scale Tabular Data
Jul 11, 2026Jiaqi Luo, Shixin XuTabular Learning Gradient Boosted Decision Tree
School of Mathematical Sciences, Soochow University, No.1 Shizi Street, Suzhou, 215006, Jiangsu Province, China · Digital innovation research center, Duke Kunshan University, No.8 Duke Avenue, Kunshan, 215000, Jiangsu Province, China
Spectrally Deconfounded Gradient Boosting
Jul 10, 2026Andrea Nava, Peter Bühlmann, Fabio SigristGradient Boosted Decision Tree Latent Confounders
Seminar for Statistics, ETH Zürich, Zürich, Switzerland · IFZ, Lucerne University of Applied Sciences and Arts, Rotkreuz, Switzerland
path_boost: A Python Package for Interpretable Graph-Level Prediction using Path-Based Gradient Boosting
Jul 8, 2026Claudio Meggio, Johan Pensar, Riccardo De BinGraph Representation Learning Graph Neural Networks
Department of Mathematics, University of Oslo, Oslo, 0371, Oslo, Norway.
K-ABENA: K-Adaptive Backpropagation with Error-based N-exclusion Algorithm : (Compensated Loss-Based Sample Exclusion with Unbiased Gradient Estimation)
Jul 7, 2026Jean-Francois BonbhelGradient Boosted Decision Tree Backpropagation
NeuroSoft IA, Qu´ebec City, Canada · YekoElite University, Brazzaville, Republic of Congo
Gradient boosting with vector-valued leafs
Jun 28, 2026David CortesGradient Boosted Decision Tree Decision Trees
EMA-FS: Accelerating GBDT Training via Gain-Informed Feature Screening
Jun 24, 2026Yan SongGradient Boosted Decision Tree Feature Selection
PayPal, Inc.
Gradient boosting for extremes: sampling theory and application to insurance
Jun 12, 2026Stéphane Lhaut, Olivier LopezGradient Boosted Decision Tree Empirical Risk Minimization
1CREST, CNRS, Ecole polytechnique, Groupe ENSAE-ENSAI, ENSAE Paris, Institut Polytechnique de Paris, Palaiseau, France
ScoreStop: Gradient-based early stopping using functional score tests
Jun 1, 2026Oliver J. Hines, Christian L. HinesEarly Stopping Gradient Boosted Decision Tree
Columbia University, NY, USA · Alan Turing Institute, London, UK
Conformal Risk Prediction for Non-Alcoholic Fatty Liver Disease Using Gradient Boosting with Distribution-Free Coverages
May 31, 2026Xinze ZhangCholangiocarcinoma Risk Stratification
University of Southern California, Los Angeles, CA 90007, USA
High Performance, Low Reliability: Uncertainty Benchmarking for Tabular Foundation Models
May 27, 2026José Lucas De Melo Costa, Fabrice Popineau, Arpad Rimmel +1Tabular Foundation Models Uncertainty Quantification
CentraleSup´elec, Universit´e Paris-Saclay Gif-sur-Yvette - France
Practical Anonymous Two-Party Gradient Boosting Decision Tree
May 26, 2026Chenyu Huang, Fan Zhang, Minxin Du +6Privacy-Preserving Machine Learning Homomorphic Encryption
Tencent · Hong Kong Polytechnic University · Chinese University of Hong Kong +1
SepsisAI Orchestrator: A Containerized and Scalable Platform for Deploying AI Models and Real-Time Monitoring in Early Sepsis Detection
May 21, 2026Santiago Ospitia, John Sanabria, John Garcia-HenaoSepsis Artificial Intelligence Deployment
School of Systems Engineering and Computing, University of Valle, Cali, Colombia · Digital Medicine Unit, Balgrist University Hospital, Zurich, Switzerland · Nucleus-AI Research, Medellin, Colombia
When Does $\ell_2$ -Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias
May 7, 2026Ye Su, Jian Li, Yong LiuOverfitting Empirical Risk Minimization
Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055, China · School of Artificial Intelligence Beijing Normal University Beijing, 100875, China · Gaoling School of Artificial Intelligence Renmin University of China Beijing 100872, China
BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification
May 7, 2026Yi-Siang Wang, Kuan-Yu Chen, Yu-Chen Den +1Large Language Model Fine-Tuning Gradient Boosted Decision Tree
SinoPac Holdings
ITBoost: Information-Theoretic Trust for Robust Boosting
May 6, 2026Ye Su, Longlong Zhao, Diego Garcia-Gil +4Noisy Labels Gradient Boosted Decision Tree
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences · University of Chinese Academy of Sciences · Department of Software Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada +1
Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models
May 5, 2026Melika Baghi, Xiao Liu, Kamran PaynabarReduced-Order Models Gradient Boosted Decision Tree
Georgia Institute of Technology, Atlanta, GA 30332, USA
Gradient Boosted Risk Scores
May 4, 2026Costa Georgantas, Jonas RichiardiRisk Stratification Gradient Boosted Decision Tree
†Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland
Improving Model Safety by Targeted Error Correction
May 4, 2026Abolfazl Mohammadi-Seif, Ricardo Baeza-YatesGradient Boosted Decision Tree Large Language Model Safety
Universitat Pompeu Fabra, Barcelona, Spain · KTH Royal Institute of Technology, Stockholm, Sweden
Benchmarking LightGBM and BiLSTM for Sentiment Analysis on Indonesian E-Commerce Reviews
May 2, 2026Lidia Natasyah Marpaung, Vania Claresta, Iqfina Haula Halika +3Sentiment Indonesian E-Commerce Reviews
Department of Data Science Institut Teknologi Sumatera · Institut Teknologi Sumatera · Department of Informatics Institut Teknologi Sumatera
Gradient Regularized Newton Boosting Trees with Global Convergence
May 1, 2026Nikita Zozoulenko, Daniel Falkowski, Thomas Cass +1Gradient Boosted Decision Tree Convex Loss
Department of Mathematics, Imperial College London, UK · Department of Mathematics, Stockholm University, Sweden · School of Computer Science, University of St. Gallen, Switzerland
BoostLoRA: Growing Effective Rank by Boosting Adapters
Apr 30, 2026Raviteja Anantha, Nick Levato, Layne C. PriceParameter-Efficient Fine-Tuning Methods Multi-Lora
Amazon
Multiple Additive Neural Networks for Structured and Unstructured Data
Apr 29, 2026Janis Mohr, Jörg FrochteConvolutional Neural Networks Neural Network
Interdisciplinary Institute for Applied Artificial Intelligence and Data Science Ruhr Bochum University of Applied Sciences 42579 Heiligenhaus, Germany
Electricity price forecasting across Norway's five bidding zones in the post-crisis era
Apr 29, 2026My Thi Diem Phan, Trung Tuyen Truong, Hoai Phuong Ha +1Electricity Price Forecasting Electricity Markets
Independent researcher · Department of Mathematics, University of Oslo · Department of Computer Science, The Arctic University of Norway +1
Path-Based Gradient Boosting for Graph-Level Prediction
Apr 26, 2026Claudio Meggio, Johan Pensar, Riccardo De BinGradient Boosted Decision Tree
Department of Mathematics, University of Oslo, Oslo, Norway
Selecting Hyperparameters for Tree-Boosting
Feb 5, 2026Floris Jan Koster, Fabio SigristGradient Boosted Decision Tree General Grid Search Framework
Seminar for Statistics, ETH Zurich, Switzerland
Multi-Objective Hyperparameter Search via Damped Gauss--Newton Optimization
Jan 7, 2024Qinwu Xu, Yifan JiangGeneral Grid Search Framework Gradient Boosted Decision Tree
Unveiling the Unborn: Advancing Fetal Health Classification through Machine Learning
Sep 30, 2023Sujith K MandalaGradient Boosted Decision Tree Feature Selection

Oct 5, 2026, cs.LGJ/K move · Enter open · S save

HiER-BLS: A Hierarchy-Guided and Error-Correcting Robust Incremental Broad Learning System

Gongli Zhang, C. L. Philip Chen, Zhulin Liu

Guangdong Provincial Key Laboratory of Computational AI Models and Cognitive Intelligence, the School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China, also with the Pazhou Lab, Guangzhou 510335, China, and also with the Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human, Guangzhou 510641, China

Learnability Gradient Boosted Decision Tree

Open paper AskPDF arXiv

Broad Learning System (BLS) supports analytical training and incremental expansion, but its growth needs guidance on which inputs new blocks should learn from. Weight errors pose a further challenge by displacing learned outputs across class boundaries. We propose HiER-BLS to couple hierarchy-guided representation growth with error-correcting learning. Successive blocks focus on inputs selected by feature importance and correlation while preserving earlier representations. The evolving branch guides encoded learners through subspace size and sample confidence, so its learning experience informs both their feature views and supervision. For finite broad readouts, we show how codeword correlations transform fitted class scores. Prediction preservation depends on the distance from the actual output to the nearest decoding boundary relative to the model's sensitivity to weight errors. Experiments on five image and five tabular datasets demonstrate improved classification performance over representative BLS variants. Component studies show that hierarchy guidance benefits the encoded branch even when the guiding branch has lower standalone accuracy, with further gains from combining their scores. Longer codes continue to improve accuracy under stronger Gaussian weight errors after clean accuracy has largely saturated.

Momentum

Related topics

Latest papers 35