data summarization

Deletion Robust Non-Monotone Submodular Maximization over Matroids JMLR 2025 Fair Submodular Cover ICLR 2025 Parameterized Approximation Algorithm for Doubly Constrained Fair Clustering IJCAI 2025 Data Summarization via Bilevel Optimization JMLR 2024 Black-box coreset variational inference NeurIPS 2022 Deletion Robust Submodular Maximization over Matroids ICML 2022 Fair and Fast k-Center Clustering for Data Summarization ICML 2022 Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers ICML 2021 Regularized Submodular Maximization at Scale ICML 2021 Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021 Submodular Span, with Applications to Conditional Data Summarization AAAI 2021 AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models JMLR 2020 apricot: Submodular selection for data summarization in Python JMLR 2020 Coresets via Bilevel Optimization for Continual Learning and Streaming NeurIPS 2020 Fair k-Centers via Maximum Matching ICML 2020 Streaming Submodular Maximization under a k-Set System Constraint ICML 2020 Differentially Private Distributed Data Summarization under Covariate Shift NeurIPS 2019 Fair k-Center Clustering for Data Summarization ICML 2019 Goal-Driven Sequential Data Abstraction ICCV 2019 Submodular Optimization over Streams with Inhomogeneous Decays AAAI 2019 Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity ICML 2019 A Practical Algorithm for Distributed Clustering and Outlier Detection NeurIPS 2018 Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams ICML 2018 Data Summarization at Scale: A Two-Stage Submodular Approach ICML 2018 Differentiable Submodular Maximization IJCAI 2018