Cover Image

Glitches in Decision Tree Ensemble Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chandra, Satyankar, Gupta, Ashutosh, Mallik, Kaushik, Shankaranarayanan, Krishna, Varshney, Namrita
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data-Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles
by: Varshney, Namrita, et al.
Published: (2026)

Integrating Explanations in Learning LTL Specifications from Demonstrations
by: Gupta, Ashutosh, et al.
Published: (2024)

Auction-Based Online Policy Adaptation for Evolving Objectives
by: Shabadi, Guruprerana, et al.
Published: (2026)

Quantifying Sensitivity for Tree Ensembles: A symbolic and compositional approach
by: Akshay, S., et al.
Published: (2026)

Concept Drift Detection using Ensemble of Integrally Private Models
by: Varshney, Ayush K., et al.
Published: (2024)

Watermarking Decision Tree Ensembles
by: Calzavara, Stefano, et al.
Published: (2024)

Monitoring of Static Fairness
by: Henzinger, Thomas A., et al.
Published: (2025)

Geometry of Decision Making in Language Models
by: Joshi, Abhinav, et al.
Published: (2025)

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

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

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
by: Shukla, Divyaksh, et al.
Published: (2026)

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

Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles
by: Arrighi, Leonardo, et al.
Published: (2024)

MAIDS: Malicious Agent Identification-based Data Security Model for Cloud Environments
by: Gupta, Kishu, et al.
Published: (2024)

Model Ensembling for Constrained Optimization
by: Globus-Harris, Ira, et al.
Published: (2024)

A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
by: Monea, Giovanni, et al.
Published: (2023)

Efficient Dynamic Shielding for Parametric Safety Specifications
by: Corsi, Davide, et al.
Published: (2025)

Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation
by: Biebert, Daniel, et al.
Published: (2024)

Woodelf++: A Fast and Unified Partial Dependence Plot Algorithm for Decision Tree Ensembles
by: Wettenstein, Ron, et al.
Published: (2026)

QGAPHEnsemble : Combining Hybrid QLSTM Network Ensemble via Adaptive Weighting for Short Term Weather Forecasting
by: Sen, Anuvab, et al.
Published: (2025)

Channel Estimation by Infinite Width Convolutional Networks
by: Mallik, Mohammed, et al.
Published: (2025)

Accelerated Smoothing: A Scalable Approach to Randomized Smoothing
by: Bhardwaj, Devansh, et al.
Published: (2024)

AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts
by: Ghosh, Shaona, et al.
Published: (2024)

2D-ThermAl: Physics-Informed Framework for Thermal Analysis of Circuits using Generative AI
by: Chandra, Soumyadeep, et al.
Published: (2025)

A Comprehensively Adaptive Architectural Optimization-Ingrained Quantum Neural Network Model for Cloud Workloads Prediction
by: Kumar, Jitendra, et al.
Published: (2025)

High-resolution Multi-spectral Image Guided DEM Super-resolution using Sinkhorn Regularized Adversarial Network
by: Paul, Subhajit, et al.
Published: (2023)

Causal and Federated Multimodal Learning for Cardiovascular Risk Prediction under Heterogeneous Populations
by: Kaushik, Rohit, et al.
Published: (2026)

Spatially Constrained Transformer with Efficient Global Relation Modelling for Spatio-Temporal Prediction
by: Sao, Ashutosh, et al.
Published: (2024)

Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
by: Du, Xin, et al.
Published: (2021)

A Global Medical Data Security and Privacy Preserving Standards Identification Framework for Electronic Healthcare Consumers
by: Mishra, Vinaytosh, et al.
Published: (2024)

Convex Distillation: Efficient Compression of Deep Networks via Convex Optimization
by: Varshney, Prateek, et al.
Published: (2024)

Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes
by: Hanqing, Liu, et al.
Published: (2026)

When do complex-valued neural networks help? A study of representation, geometry, and optimization
by: Kumar, Ashutosh
Published: (2026)

Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making
by: Kozak, Anna, et al.
Published: (2024)

A Multilateral Attention-enhanced Deep Neural Network for Disease Outbreak Forecasting: A Case Study on COVID-19
by: Anshul, Ashutosh, et al.
Published: (2024)

An RKHS Perspective on Tree Ensembles
by: Dagdoug, Mehdi, et al.
Published: (2025)

Ensembles of Probabilistic Regression Trees
by: Seiller, Alexandre, et al.
Published: (2024)

(Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models
by: Kirsch, Andreas
Published: (2024)

ACAR: Adaptive Complexity Routing for Multi-Model Ensembles with Auditable Decision Traces
by: Kumaresan, Ramchand
Published: (2026)

GLIP: Electromagnetic Field Exposure Map Completion by Deep Generative Networks
by: Mallik, Mohammed, et al.
Published: (2024)