label complexity

Matched-Pair Experimental Design with Active Learning UAI 2026 Near-Polynomially Competitive Active Logistic Regression AISTATS 2025 Towards Fundamental Limits for Active Multi-distribution Learning COLT 2025 Active Learning of General Halfspaces: Label Queries vs Membership Queries NeurIPS 2024 Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach AISTATS 2024 Fast Co-Training under Weak Dependence via Stream-Based Active Learning ICML 2024 Fast Rates in Pool-Based Batch Active Learning JMLR 2024 Margin-Based Active Learning of Classifiers JMLR 2024 Mentored Learning: Improving Generalization and Convergence of Student Learner JMLR 2024 Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples ICML 2024 Agnostic Multi-Group Active Learning NeurIPS 2023 Achieving Minimax Rates in Pool-Based Batch Active Learning ICML 2022 Active Learning for Multiple Target Models NeurIPS 2022 Active Learning with Neural Networks: Insights from Nonparametric Statistics NeurIPS 2022 A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity NeurIPS 2022 Cross-Space Active Learning on Graph Convolutional Networks ICML 2022 Efficient Active Learning with Abstention NeurIPS 2022 Efficient PAC Learning from the Crowd with Pairwise Comparisons ICML 2022 Multi-class classification in nonparametric active learning AISTATS 2022 Active Covering ICML 2021 Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance ALT 2021 Batch Active Learning at Scale NeurIPS 2021 Fine-grained Generalization Analysis of Structured Output Prediction IJCAI 2021 Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise COLT 2021 Learning with Labeling Induced Abstentions NeurIPS 2021