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gradient boosting

147 papers

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Also known as

GB

Co-occurring keywords

ensemble learning (1274) text classification (6793) random forest (326) decision tree (322) feature engineering (226) lexical complexity (96) ensemble method (564) word embedding (1764) regression tree (32) gradient boosting decision tree (17)

Papers

MTL782_IITD at CMCL 2021 Shared Task: Prediction of Eye-Tracking Features Using BERT Embeddings and Linguistic Features NAACL 2021
Margins are Insufficient for Explaining Gradient Boosting NIPS 2020
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains AAAI 2020
Exploiting Categorical Structure Using Tree-Based Methods AISTATS 2020
SnapBoost: A Heterogeneous Boosting Machine NIPS 2020
Smooth And Consistent Probabilistic Regression Trees NIPS 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks NIPS 2020
LAST at SemEval-2020 Task 10: Finding Tokens to Emphasise in Short Written Texts with Precomputed Embedding Models and LightGBM SEMEVAL 2020
StochasticRank: Global Optimization of Scale-Free Discrete Functions ICML 2020
Ferryman at SemEval-2020 Task 7: Ensemble Model for Assessing Humor in Edited News Headlines COLING 2020
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates ICML 2020
MultiVitaminBooster at PARSEME Shared Task 2020: Combining Window- and Dependency-Based Features with Multilingual Contextualised Word Embeddings for VMWE Detection COLING 2020
NGBoost: Natural Gradient Boosting for Probabilistic Prediction ICML 2020
Optimistic Bounds for Multi-output Learning ICML 2020
Gradient Boosted Normalizing Flows NIPS 2020
Nova-Wang at SemEval-2020 Task 12: OffensEmblert: An Ensemble ofOffensive Language Classifiers SEMEVAL 2020
Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes AAAI 2020
Boosted Histogram Transform for Regression ICML 2020
DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards AAAI 2020
Discriminative Non-Parametric Learning of Arithmetic Circuits PGM 2020
Accelerating Gradient Boosting Machines AISTATS 2020
ThunderGBM: Fast GBDTs and Random Forests on GPUs JMLR 2020
Functional Gradient Boosting for Learning Residual-like Networks with Statistical Guarantees AISTATS 2020
Learning from Aggregate Observations NIPS 2020
Verifying Robustness of Gradient Boosted Models AAAI 2019