:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Marton, Sascha, Schneider, Moritz
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2502.04052
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
di: Marton, Sascha, et al.
Pubblicazione: (2023)

Learning Tree-Based Models with Gradient Descent
di: Marton, Sascha
Pubblicazione: (2026)

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
di: Marton, Sascha, et al.
Pubblicazione: (2023)

Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
di: Marton, Sascha, et al.
Pubblicazione: (2024)

Vanilla Gradient Descent for Oblique Decision Trees
di: Panda, Subrat Prasad, et al.
Pubblicazione: (2024)

Gradient Boosting Decision Tree with LSTM for Investment Prediction
di: Yu, Chang, et al.
Pubblicazione: (2025)

Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
di: Alamdari, Parand A., et al.
Pubblicazione: (2023)

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

Decision-Focused Learning with Directional Gradients
di: Huang, Michael, et al.
Pubblicazione: (2024)

Improving Data Quality with Training Dynamics of Gradient Boosting Decision Trees
di: Ponti, Moacir Antonelli, et al.
Pubblicazione: (2022)

Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data
di: Yıldız, A. Yarkın, et al.
Pubblicazione: (2024)

S-BDT: Distributed Differentially Private Boosted Decision Trees
di: Peinemann, Thorsten, et al.
Pubblicazione: (2023)

Decision Machines: Congruent Decision Trees
di: Zhang, Jinxiong
Pubblicazione: (2021)

Policy Gradient Algorithms with Monte Carlo Tree Learning for Non-Markov Decision Processes
di: Morimura, Tetsuro, et al.
Pubblicazione: (2022)

Permutation Decision Trees
di: B, Harikrishnan N, et al.
Pubblicazione: (2023)

TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees
di: Li, Weida, et al.
Pubblicazione: (2026)

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
di: Liu, Zichuan, et al.
Pubblicazione: (2022)

Learning Decision Trees as Amortized Structure Inference
di: Mahfoud, Mohammed, et al.
Pubblicazione: (2025)

Learning Decision Trees and Forests with Algorithmic Recourse
di: Kanamori, Kentaro, et al.
Pubblicazione: (2024)

Online Learning of Decision Trees with Thompson Sampling
di: Chaouki, Ayman, et al.
Pubblicazione: (2024)

Decision Tree Learning on Product Spaces
di: Moakahr, Arshia Soltani, et al.
Pubblicazione: (2026)

Decision Tree Based Wrappers for Hearing Loss
di: Rabuge, Miguel, et al.
Pubblicazione: (2025)

Learning Memory Mechanisms for Decision Making through Demonstrations
di: Yue, William, et al.
Pubblicazione: (2024)

Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com
di: Krutikov, Sergei, et al.
Pubblicazione: (2024)

Optimal Decision Tree Policies for Markov Decision Processes
di: Vos, Daniël, et al.
Pubblicazione: (2023)

Output-Constrained Decision Trees
di: Tunç, Hüseyin, et al.
Pubblicazione: (2024)

Optimizing Interpretable Decision Tree Policies for Reinforcement Learning
di: Vos, Daniël, et al.
Pubblicazione: (2024)

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes
di: Montenegro, Alessandro, et al.
Pubblicazione: (2025)

Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks
di: Eisenbürger, Anita, et al.
Pubblicazione: (2024)

Boosting-Based Sequential Meta-Tree Ensemble Construction for Improved Decision Trees
di: Maniwa, Ryota, et al.
Pubblicazione: (2024)

Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
di: Yan, Kai, et al.
Pubblicazione: (2024)

Superconstant Inapproximability of Decision Tree Learning
di: Koch, Caleb, et al.
Pubblicazione: (2024)

Multi-Armed Bandits-Based Optimization of Decision Trees
di: Shanto, Hasibul Karim, et al.
Pubblicazione: (2025)

On the Efficiency of Training Robust Decision Trees
di: Gerlach, Benedict, et al.
Pubblicazione: (2025)

Decision Tree Embedding by Leaf-Means
di: Shen, Cencheng, et al.
Pubblicazione: (2025)

Glitches in Decision Tree Ensemble Models
di: Chandra, Satyankar, et al.
Pubblicazione: (2025)

Leveraging Predictive Equivalence in Decision Trees
di: McTavish, Hayden, et al.
Pubblicazione: (2025)

Superfast Selection for Decision Tree Algorithms
di: Wang, Huaduo, et al.
Pubblicazione: (2024)

A Rectification-Based Approach for Distilling Boosted Trees into Decision Trees
di: Audemard, Gilles, et al.
Pubblicazione: (2025)

Efficient Online Decision Tree Learning with Active Feature Acquisition
di: Rahbar, Arman, et al.
Pubblicazione: (2023)