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Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning., , , , , , , and . CoRR, (2023)Compressive Sensing with Low Precision Data Representation: Radio Astronomy and Beyond., , , and . CoRR, (2018)An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation., , , , , and . CoRR, (2019)Compressive Sensing Using Iterative Hard Thresholding With Low Precision Data Representation: Theory and Applications., , , , , , , and . IEEE Trans. Signal Process., (2020)Advancing Cost Efficiency and Robustness of Machine Learning through the Lens of Data.. ETH Zurich, Zürich, Switzerland, (2022)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/550217).Towards More Accurate Radio Telescope Images.. CVPR Workshops, page 1902-1904. Computer Vision Foundation / IEEE Computer Society, (2018)COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits., , , and . CoRR, (2024)Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions., , , , , , and . Proc. VLDB Endow., 14 (3): 255-267 (2020)DeGNN: Improving Graph Neural Networks with Graph Decomposition., , , , , , , , , and 10 other author(s). KDD, page 1223-1233. ACM, (2021)Online Active Model Selection for Pre-trained Classifiers., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 307-315. PMLR, (2021)