:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Geertsema, Paul, Lu, Helen
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2301.01864
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs
por: Li, Mengran, et al.
Publicado: (2025)

Gradient Boosting Reinforcement Learning
por: Fuhrer, Benjamin, et al.
Publicado: (2024)

Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes
por: Mohammadi, Majid, et al.
Publicado: (2025)

Supervised Score-Based Modeling by Gradient Boosting
por: Zhao, Changyuan, et al.
Publicado: (2024)

Integrated Gradient Correlation: a Dataset-wise Attribution Method
por: Lelièvre, Pierre, et al.
Publicado: (2024)

Probabilistic Stability Guarantees for Feature Attributions
por: Jin, Helen, et al.
Publicado: (2025)

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

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

Gradient Boosting within a Single Attention Layer
por: Sargolzaei, Saleh
Publicado: (2026)

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

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

GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
por: Hu, Pingbang, et al.
Publicado: (2025)

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

Sequential Policy Gradient for Adaptive Hyperparameter Optimization
por: Li, Zheng, et al.
Publicado: (2025)

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

X-SAM: Boosting Sharpness-Aware Minimization with Dominant-Eigenvector Gradient Correction
por: Duan, Hongru, et al.
Publicado: (2026)

Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
por: Jung, Jaehun, et al.
Publicado: (2025)

Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups
por: You, Weiqiu, et al.
Publicado: (2023)

Boosting Gradient Ascent for Continuous DR-submodular Maximization
por: Zhang, Qixin, et al.
Publicado: (2024)

Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects
por: Mosbach, Malte, et al.
Publicado: (2024)

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

Meta-Instance Selection. Instance Selection as a Classification Problem with Meta-Features
por: Blachnik, Marcin, et al.
Publicado: (2025)

Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space
por: Li, Hengli, et al.
Publicado: (2025)

Hidden Heroes and Gradient Bloats: Layer-Wise Redundancy Inverts Attribution in Transformers
por: Ye, Donald
Publicado: (2026)

GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
por: Sanderson, Jacob, et al.
Publicado: (2026)

Instance Discrimination for Link Prediction
por: Cuzin-Rambaud, Valentin, et al.
Publicado: (2026)

Near-Optimal Algorithms for Constrained k-Center Clustering with Instance-level Background Knowledge
por: Guo, Longkun, et al.
Publicado: (2024)

SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization
por: Gufran, Danish, et al.
Publicado: (2024)

GradientStabilizer:Fix the Norm, Not the Gradient
por: Huang, Tianjin, et al.
Publicado: (2025)

Learning Order Forest for Qualitative-Attribute Data Clustering
por: Zhao, Mingjie, et al.
Publicado: (2026)

A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF)
por: Delgado-Panadero, Ángel, et al.
Publicado: (2024)

AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer
por: Yuan, Jinhui, et al.
Publicado: (2024)

Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering
por: Zhang, Yiqun, et al.
Publicado: (2026)

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
por: Acero, Fernando, et al.
Publicado: (2024)

Source Attribution for Large Language Model-Generated Data
por: Wang, Jingtan, et al.
Publicado: (2023)

StylOch at PAN: Gradient-Boosted Trees with Frequency-Based Stylometric Features
por: Ochab, Jeremi K., et al.
Publicado: (2025)

Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration
por: Cheng, Chih-Hong, et al.
Publicado: (2024)

Where Did It Go Wrong? Attributing Undesirable LLM Behaviors via Representation Gradient Tracing
por: Li, Zhe, et al.
Publicado: (2025)

Exact Linear Attention
por: Ou, Weinuo
Publicado: (2026)

AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
por: Lu, Weigang, et al.
Publicado: (2024)