 Data Selection for ERMsAnnual Conference Computational Learning Theory (COLT), 2025 |
 Does Training with Synthetic Data Truly Protect Privacy?International Conference on Learning Representations (ICLR), 2025 |
 Decomposed Distribution Matching in Dataset CondensationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 |
 Theoretically Grounded Pruning of Large Ground Sets for Constrained,
Discrete OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
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 Unknown Domain Inconsistency Minimization for Domain GeneralizationInternational Conference on Learning Representations (ICLR), 2024 |
 Simple, Scalable and Effective Clustering via One-Dimensional
ProjectionsNeural Information Processing Systems (NeurIPS), 2023 |
 Coreset selection can accelerate quantum machine learning models with
provable generalizationPhysical Review Applied (Phys. Rev. Appl.), 2023 |
 Anchor Points: Benchmarking Models with Much Fewer ExamplesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
 Improved Distribution Matching for Dataset CondensationComputer Vision and Pattern Recognition (CVPR), 2023 |
 Visual DNA: Representing and Comparing Images using Distributions of
Neuron ActivationsComputer Vision and Pattern Recognition (CVPR), 2023 |
 Dataset Distillation: A Comprehensive ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 |
 Training Data Influence Analysis and Estimation: A SurveyMachine-mediated learning (ML), 2022 |
 Adversarial Coreset Selection for Efficient Robust TrainingInternational Journal of Computer Vision (IJCV), 2022 |
 One-pass additive-error subset selection for subspace
approximationInternational Colloquium on Automata, Languages and Programming (ICALP), 2022 |
 CAFE: Learning to Condense Dataset by Aligning FeaturesComputer Vision and Pattern Recognition (CVPR), 2022 |
 A Unified Approach to Coreset LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 |
 Coresets for Time Series ClusteringNeural Information Processing Systems (NeurIPS), 2021 |
 Data Summarization via Bilevel OptimizationJournal of machine learning research (JMLR), 2021 |
 Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning
(With Outliers) ProblemsNeural Information Processing Systems (NeurIPS), 2021 |
 Adversarial Robustness of Streaming Algorithms through Importance
SamplingNeural Information Processing Systems (NeurIPS), 2021 |
