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PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection.

, , , , and . AAAI, page 10238-10246. AAAI Press, (2022)

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Training Compressed Fully-Connected Networks with a Density-Diversity Penalty., , , and . ICLR (Poster), OpenReview.net, (2017)Faster and more accurate graphical model identification of tandem mass spectra using trellises., , , and . Bioinform., 32 (12): 322-331 (2016)Statistical Models for Empirical Search-Based Performance Tuning., , and . Int. J. High Perform. Comput. Appl., 18 (1): 65-94 (2004)The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking., and . CoRR, (2014)Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation., , , , and . CoRR, (2015)Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009), and . CoRR, (2012)Optimizing Matrix Multiply Using PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology., , , and . International Conference on Supercomputing, page 340-347. ACM, (1997)On the Relationship between DNA Periodicity and Local Chromatin Structure., , and . RECOMB, volume 5541 of Lecture Notes in Computer Science, page 434-450. Springer, (2009)Online Submodular Minimization for Combinatorial Structures., and . ICML, page 345-352. Omnipress, (2011)Simultaneous Learning and Covering with Adversarial Noise., and . ICML, page 369-376. Omnipress, (2011)