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Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity., , , , , и . J. Artif. Intell. Res., (2018)Classification of Bone Tumor on CT Images Using Deep Convolutional Neural Network., , , , , и . ICANN (2), том 11140 из Lecture Notes in Computer Science, стр. 127-136. Springer, (2018)Guaranteed Sparse Recovery under Linear Transformation., , и . ICML (3), том 28 из JMLR Workshop and Conference Proceedings, стр. 91-99. JMLR.org, (2013)GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework., , , , и . ECCV (4), том 12349 из Lecture Notes in Computer Science, стр. 54-73. Springer, (2020)Single-Epoch Decimeter-Level Precise Point Positioning with a Galileo Five-Frequency Ionosphere-Reduced Combination., , , , , и . Remote. Sens., 15 (14): 3562 (июля 2023)Pansharpening by Combining Enhanced Spatial-Spectral Fidelity and Gradient-Domain Guided Filtering., , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression., , , и . CoRR, (2019)A Private and Finite-Time Algorithm for Solving a Distributed System of Linear Equations., , и . CoRR, (2020)Resilient Distributed Optimization., , , и . CoRR, (2022)Stochastic communication-efficient distributed algorithms for solving linear algebraic equations., , и . CCA, стр. 380-385. IEEE, (2016)