weak learner

Boosting with List-Decodable Codes COLT 2026 Neural Routed Boosting: Robust Learning against Heteroscedastic Noise UAI 2026 Boosting, Voting Classifiers and Randomized Sample Compression Schemes ALT 2025 Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners AISTATS 2025 Weak to Strong Learning from Aggregate Labels UAI 2025 How to Boost Any Loss Function NeurIPS 2024 Optimal Parallelization of Boosting NeurIPS 2024 Sample-Efficient Agnostic Boosting NeurIPS 2024 The Impossibility of Parallelizing Boosting ALT 2024 AdaBoost is not an Optimal Weak to Strong Learner ICML 2023 Language Models are Weak Learners NeurIPS 2023 Optimal Weak to Strong Learning NeurIPS 2022 Self-training Converts Weak Learners to Strong Learners in Mixture Models AISTATS 2022 Boosting in the Presence of Massart Noise COLT 2021 Knowledge-based Residual Learning IJCAI 2021 Multiclass Boosting and the Cost of Weak Learning NeurIPS 2021 Precision-based Boosting AAAI 2021 RaSE: Random Subspace Ensemble Classification JMLR 2021 Accelerating Gradient Boosting Machines AISTATS 2020 Functional Gradient Boosting for Learning Residual-like Networks with Statistical Guarantees AISTATS 2020 Generalized Boosting NeurIPS 2020 Online Agnostic Boosting via Regret Minimization NeurIPS 2020 Quantum Boosting ICML 2020 Online Multiclass Boosting with Bandit Feedback AISTATS 2019 Sample Compression for Real-Valued Learners ALT 2019