coreset construction

On Coresets for End-to-end Learning from Crowds AAAI 2026 HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning AAAI 2025 Data Summarization via Bilevel Optimization JMLR 2024 Small coresets via negative dependence: DPPs, linear statistics, and concentration NeurIPS 2024 Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning CVPR 2024 Supervised Kernel Thinning NeurIPS 2024 The Space Complexity of Approximating Logistic Loss NeurIPS 2024 A Batch-to-Online Transformation under Random-Order Model NeurIPS 2023 AutoCoreset: An Automatic Practical Coreset Construction Framework ICML 2023 Core-sets for Fair and Diverse Data Summarization NeurIPS 2023 Near-Optimal k-Clustering in the Sliding Window Model NeurIPS 2023 Near-optimal Coresets for Robust Clustering ICLR 2023 Near-Optimal Quantum Coreset Construction Algorithms for Clustering ICML 2023 Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023 Simple, Scalable and Effective Clustering via One-Dimensional Projections NeurIPS 2023 Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering NeurIPS 2022 Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more ICML 2022 New Coresets for Projective Clustering and Applications AISTATS 2022 p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets AISTATS 2022 Adversarial Robustness of Streaming Algorithms through Importance Sampling NeurIPS 2021 Coresets for Time Series Clustering NeurIPS 2021 Dimensionality Reduction for the Sum-of-Distances Metric ICML 2021 Efficient Coreset Constructions via Sensitivity Sampling ACML 2021 Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems NeurIPS 2021 Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis EMNLP 2021