Condensed Gradient Boosting
Fuente:
arXiv
Saved in:
| Main Authors: | Emami, Seyedsaman, Martínez-Muñoz, Gonzalo |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust-Multi-Task Gradient Boosting
by: Emami, Seyedsaman, et al.
Published: (2025)
by: Emami, Seyedsaman, et al.
Published: (2025)
Robust multi-task boosting using clustering and local ensembling
by: Emami, Seyedsaman, et al.
Published: (2026)
by: Emami, Seyedsaman, et al.
Published: (2026)
Evaluating Memory Condensation Strategies for Coding Agents in Data-Driven Scientific Discovery
by: Chintalapati, Renuka, et al.
Published: (2026)
by: Chintalapati, Renuka, et al.
Published: (2026)
ParamBoost: Gradient Boosted Piecewise Cubic Polynomials
by: Salvadé, Nicolas, et al.
Published: (2026)
by: Salvadé, Nicolas, et al.
Published: (2026)
Gradient Boosted Risk Scores
by: Georgantas, Costa, et al.
Published: (2026)
by: Georgantas, Costa, et al.
Published: (2026)
On the Convergence of Multicalibration Gradient Boosting
by: Haimovich, Daniel, et al.
Published: (2026)
by: Haimovich, Daniel, et al.
Published: (2026)
RieszBoost: Gradient Boosting for Riesz Regression
by: Lee, Kaitlyn J., et al.
Published: (2025)
by: Lee, Kaitlyn J., et al.
Published: (2025)
Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation
by: Shen, Lian, et al.
Published: (2025)
by: Shen, Lian, et al.
Published: (2025)
Gradient Boosted Filters For Signal Processing
by: Lopez, Jose A., et al.
Published: (2024)
by: Lopez, Jose A., et al.
Published: (2024)
Bonsai: Gradient-free Graph Condensation for Node Classification
by: Gupta, Mridul, et al.
Published: (2024)
by: Gupta, Mridul, et al.
Published: (2024)
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching
by: Zhang, Tianle, et al.
Published: (2024)
by: Zhang, Tianle, et al.
Published: (2024)
Simple Linear Neuron Boosting
by: Munoz, Daniel
Published: (2025)
by: Munoz, Daniel
Published: (2025)
MorphBoost: Self-Organizing Universal Gradient Boosting with Adaptive Tree Morphing
by: Kriuk, Boris
Published: (2025)
by: Kriuk, Boris
Published: (2025)
RUMBoost: Gradient Boosted Random Utility Models
by: Salvadé, Nicolas, et al.
Published: (2024)
by: Salvadé, Nicolas, et al.
Published: (2024)
Gradient Boosting Reinforcement Learning
by: Fuhrer, Benjamin, et al.
Published: (2024)
by: Fuhrer, Benjamin, et al.
Published: (2024)
LoBoost: Fast Model-Native Local Conformal Prediction for Gradient-Boosted Trees
by: Santos, Vagner, et al.
Published: (2026)
by: Santos, Vagner, et al.
Published: (2026)
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction
by: Patron, Anri, et al.
Published: (2024)
by: Patron, Anri, et al.
Published: (2024)
Boosting CVaR Policy Optimization with Quantile Gradients
by: Luo, Yudong, et al.
Published: (2026)
by: Luo, Yudong, et al.
Published: (2026)
Gradient Boosting Decision Tree with LSTM for Investment Prediction
by: Yu, Chang, et al.
Published: (2025)
by: Yu, Chang, et al.
Published: (2025)
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles
by: Yang, Fan, et al.
Published: (2024)
by: Yang, Fan, et al.
Published: (2024)
Path-Based Gradient Boosting for Graph-Level Prediction
by: Meggio, Claudio, et al.
Published: (2026)
by: Meggio, Claudio, et al.
Published: (2026)
Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks
by: Padmanabha, Govinda Anantha, et al.
Published: (2024)
by: Padmanabha, Govinda Anantha, et al.
Published: (2024)
Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models
by: Baghi, Melika, et al.
Published: (2026)
by: Baghi, Melika, et al.
Published: (2026)
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks
by: Graf, Peter, et al.
Published: (2024)
by: Graf, Peter, et al.
Published: (2024)
Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances
by: Balzer, Michael
Published: (2025)
by: Balzer, Michael
Published: (2025)
OGBoost: A Python Package for Ordinal Gradient Boosting
by: Sharabiani, Mansour T. A., et al.
Published: (2025)
by: Sharabiani, Mansour T. A., et al.
Published: (2025)
Statistical Inference for Gradient Boosting Regression
by: Fang, Haimo, et al.
Published: (2025)
by: Fang, Haimo, et al.
Published: (2025)
AXIL: Exact Instance Attribution for Gradient Boosting
by: Geertsema, Paul, et al.
Published: (2023)
by: Geertsema, Paul, et al.
Published: (2023)
Supervised Score-Based Modeling by Gradient Boosting
by: Zhao, Changyuan, et al.
Published: (2024)
by: Zhao, Changyuan, et al.
Published: (2024)
Enhanced Gradient Boosting for Zero-Inflated Insurance Claims and Comparative Analysis of CatBoost, XGBoost, and LightGBM
by: So, Banghee
Published: (2023)
by: So, Banghee
Published: (2023)
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
by: Emami, Patrick, et al.
Published: (2023)
by: Emami, Patrick, et al.
Published: (2023)
Improving Data Quality with Training Dynamics of Gradient Boosting Decision Trees
by: Ponti, Moacir Antonelli, et al.
Published: (2022)
by: Ponti, Moacir Antonelli, et al.
Published: (2022)
Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data
by: Yıldız, A. Yarkın, et al.
Published: (2024)
by: Yıldız, A. Yarkın, et al.
Published: (2024)
Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees
by: Beltran-Velez, Nicolas, et al.
Published: (2024)
by: Beltran-Velez, Nicolas, et al.
Published: (2024)
Gradient Boosting for Spatial Panel Models with Random and Fixed Effects
by: Balzer, Michael, et al.
Published: (2026)
by: Balzer, Michael, et al.
Published: (2026)
XGrad: Boosting Gradient-Based Optimizers With Weight Prediction
by: Guan, Lei, et al.
Published: (2023)
by: Guan, Lei, et al.
Published: (2023)
UTBoost: Gradient Boosted Decision Trees for Uplift Modeling
by: Gao, Junjie, et al.
Published: (2023)
by: Gao, Junjie, et al.
Published: (2023)
Gradient Boosting within a Single Attention Layer
by: Sargolzaei, Saleh
Published: (2026)
by: Sargolzaei, Saleh
Published: (2026)
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis
by: Archetti, Alberto, et al.
Published: (2024)
by: Archetti, Alberto, et al.
Published: (2024)
Gradient Regularized Newton Boosting Trees with Global Convergence
by: Zozoulenko, Nikita, et al.
Published: (2026)
by: Zozoulenko, Nikita, et al.
Published: (2026)
Similar Items
-
Robust-Multi-Task Gradient Boosting
by: Emami, Seyedsaman, et al.
Published: (2025) -
Robust multi-task boosting using clustering and local ensembling
by: Emami, Seyedsaman, et al.
Published: (2026) -
Evaluating Memory Condensation Strategies for Coding Agents in Data-Driven Scientific Discovery
by: Chintalapati, Renuka, et al.
Published: (2026) -
ParamBoost: Gradient Boosted Piecewise Cubic Polynomials
by: Salvadé, Nicolas, et al.
Published: (2026) -
Gradient Boosted Risk Scores
by: Georgantas, Costa, et al.
Published: (2026)