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Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction., , , and . CoRR, (2015)Transferable Clean-Label Poisoning Attacks on Deep Neural Nets., , , , , , and . CoRR, (2019)An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning., , , , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 752-759. ACM, (2008)Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes., , , and . ICML, page 871-878. Omnipress, (2010)Visualizing the Loss Landscape of Neural Nets., , , and . CoRR, (2017)Hoaxing statistical features of the Voynich Manuscript., and . Cryptologia, 41 (3): 247-268 (2017)Introduction to the Symposium on AI and the Mitigation of Human Error., , , and . AAAI Spring Symposia, AAAI Press, (2016)Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning., , , and . SASO, page 43-51. IEEE, (2019)Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction., , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1151-1158. JMLR.org, (2016)An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 451-459. JMLR.org, (2014)