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Hierarchical Deep Reinforcement Learning For Robotics and Data Science.. University of California, Berkeley, USA, (2018)base-search.net (ftcdlib:qt9m67h5x2).PALM: Machine Learning Explanations For Iterative Debugging., and . HILDA@SIGMOD, page 4:1-4:6. ACM, (2017)Towards reliable interactive data cleaning: a user survey and recommendations., , , and . HILDA@SIGMOD, page 9. ACM, (2016)Automating Planar Object Singulation by Linear Pushing with Single-point and Multi-point Contacts., , , , , and . CASE, page 1429-1436. IEEE, (2019)Learning 2D Surgical Camera Motion From Demonstrations., , , , and . CASE, page 35-42. IEEE, (2018)DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations., , , and . CoRL, volume 78 of Proceedings of Machine Learning Research, page 418-437. PMLR, (2017)Selectivity Estimation with Deep Likelihood Models., , , , , , , , , and . CoRR, (2019)ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models., , , , and . CoRR, (2016)SPRK: A Low-Cost Stewart Platform For Motion Study In Surgical Robotics., , , and . CoRR, (2017)Band-limited Training and Inference for Convolutional Neural Networks., , , , and . CoRR, (2019)