 Coreset Spectral ClusteringInternational Conference on Learning Representations (ICLR), 2025 |
 A Tight VC-Dimension Analysis of Clustering Coresets with ApplicationsACM-SIAM Symposium on Discrete Algorithms (SODA), 2025 |
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 You Only Condense Once: Two Rules for Pruning Condensed DatasetsNeural Information Processing Systems (NeurIPS), 2023 |
 A Batch-to-Online Transformation under Random-Order ModelNeural Information Processing Systems (NeurIPS), 2023 |
 Near-Optimal Quantum Coreset Construction Algorithms for ClusteringInternational Conference on Machine Learning (ICML), 2023 |
 Sharper Bounds for Sensitivity SamplingInternational Conference on Machine Learning (ICML), 2023 |
 Universal Weak CoresetAAAI Conference on Artificial Intelligence (AAAI), 2023 |
 Parameterized Approximation Schemes for Clustering with General Norm
ObjectivesIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2023 |
 Provable Data Subset Selection For Efficient Neural Network TrainingInternational Conference on Machine Learning (ICML), 2023 |
 Coverage-centric Coreset Selection for High Pruning RatesInternational Conference on Learning Representations (ICLR), 2022 |
 Coresets for Vertical Federated Learning: Regularized Linear Regression
and -Means ClusteringNeural Information Processing Systems (NeurIPS), 2022 |
 An Empirical Evaluation of -Means CoresetsEmbedded Systems and Applications (ESA), 2022 |
 New Coresets for Projective Clustering and ApplicationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
 Towards Optimal Lower Bounds for k-median and k-means CoresetsSymposium on the Theory of Computing (STOC), 2022 |
 Coresets for Time Series ClusteringNeural Information Processing Systems (NeurIPS), 2021 |
 Adversarial Robustness of Streaming Algorithms through Importance
SamplingNeural Information Processing Systems (NeurIPS), 2021 |
 Coresets for Regressions with Panel DataNeural Information Processing Systems (NeurIPS), 2020 |
