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Active Learning with Model Selection in Linear Regression., и . SDM, стр. 518-529. SIAM, (2008)Efficient Reuse of Previous Experiences to Improve Policies in Real Environment., , , , , и . CoRR, (2014)Parametric Return Density Estimation for Reinforcement Learning., , , , и . UAI, стр. 368-375. AUAI Press, (2010)Variational Inference for Gaussian Processes with Panel Count Data., , , и . UAI, стр. 290-299. AUAI Press, (2018)On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution., , и . ICML, стр. 497-504. Omnipress, (2011)nu-support vector machine as conditional value-at-risk minimization., и . ICML, том 307 из ACM International Conference Proceeding Series, стр. 1056-1063. ACM, (2008)A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast., , и . CoRR, (2020)Pool-based active learning in approximate linear regression., и . Mach. Learn., 75 (3): 249-274 (2009)Binary Classification from Positive Data with Skewed Confidence., , и . IJCAI, стр. 3328-3334. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Density Ratio Estimation: A New Versatile Tool for Machine Learning.. ACML, том 5828 из Lecture Notes in Computer Science, стр. 6-9. Springer, (2009)