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On the Size and the Approximability of Minimum Temporally Connected Subgraphs., and . ICALP, volume 55 of LIPIcs, page 149:1-149:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2016)Decomposable Submodular Function Minimization via Maximum Flow., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 446-456. PMLR, (2021)Sparse Convex Optimization via Adaptively Regularized Hard Thresholding., and . ICML, volume 119 of Proceedings of Machine Learning Research, page 452-462. PMLR, (2020)Circulation Control for Faster Minimum Cost Flow in Unit-Capacity Graphs., , and . FOCS, page 93-104. IEEE, (2020)Greedy PIG: Adaptive Integrated Gradients., , , , and . CoRR, (2023)Local Search Algorithms for Rank-Constrained Convex Optimization., and . ICLR, OpenReview.net, (2021)Flows, Submodularity, Sparsity, and Beyond: Continuous Optimization Insights for Discrete Problems. MIT, USA, (2022)Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond., , , , , , , and . ICML, OpenReview.net, (2024)Faster Sparse Minimum Cost Flow by Electrical Flow Localization., , and . FOCS, page 528-539. IEEE, (2021)Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime., and . ICML, volume 162 of Proceedings of Machine Learning Research, page 1175-1197. PMLR, (2022)