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Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization.

, , and . CoRR, (2014)

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nu-support vector machine as conditional value-at-risk minimization., and . ICML, volume 307 of ACM International Conference Proceeding Series, page 1056-1063. ACM, (2008)On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution., , and . ICML, page 497-504. Omnipress, (2011)Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios., , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 204-212. PMLR, (2017)Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence., , , , , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 669-677. JMLR.org, (2014)Learning Discrete Representations via Information Maximizing Self-Augmented Training., , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1558-1567. PMLR, (2017)In Search of Non-Gaussian Components of a High-Dimensional Distribution., , , , and . J. Mach. Learn. Res., (2006)Density Ratio Estimation: A New Versatile Tool for Machine Learning.. ACML, volume 5828 of Lecture Notes in Computer Science, page 6-9. Springer, (2009)Classification from Triplet Comparison Data., , , and . CoRR, (2019)Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics., , , and . CoRR, (2019)A unified view of likelihood ratio and reparameterization gradients and an optimal importance sampling scheme., and . CoRR, (2019)