gradient boosting

Analyzing Hate Speech Amplification on Fringe Platforms ACL 2026 Bridging Machine Learning and Physics for Scalable Long-Term Building Temperature Prediction (Student Abstract) AAAI 2026 DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening AAAI 2026 Diagnosing Conformal Prediction Failures Under Distribution Shift: A COVID-19 Case Study UAI 2026 d-itlab at SemEval-2026 Task 12: Per-Option Surprisal and Multi-Stage Gating for Precision-Oriented Causal Reasoning SemEval 2026 MedHastra at SemEval-2026 Task 13: Stylometric Ensembles and Transformer Fine-Tuning for Robust AI Code Detection, Attribution, and Adversarial Analysis SemEval 2026 Model Agreement via Anchoring COLT 2026 Spatial Graph Attention Network Modeling for Neighborhood-Scale Lead Contamination Risk Prediction Using Publicly Available Data AAAI 2026 Angeliki Linardatou at SemEval-2025 Task 11: Multi-label Emotion Detection SemEval 2025 APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning AAAI 2025 CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization AAAI 2025 Depression Detection on Social Media with Large Language Models EMNLP 2025 Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs COLING 2025 Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles AAAI 2025 FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages NAACL 2025 Learning Robust XGBoost Ensembles for Regression Tasks UAI 2025 NRGBoost: Energy-Based Generative Boosted Trees ICLR 2025 Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems AAAI 2025 Reliable and Scalable Variable Importance Estimation via Warm-start and Early Stopping AISTATS 2025 Scalar_NITK at SHROOM-CAP: Multilingual Factual Hallucination and Fluency Error Detection in Scientific Publications Using Retrieval-Guided Evidence and Attention-Based Feature Fusion AACL 2025 Supervised Score-Based Modeling by Gradient Boosting AAAI 2025 Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks AISTATS 2025 Better by default: Strong pre-tuned MLPs and boosted trees on tabular data NeurIPS 2024 BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 2024 Boosted Conformal Prediction Intervals NeurIPS 2024