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High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso

, , , и . CoRR, (2012)

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Masashi Urabe

Akane Sugiyama

Masashi Egawa

Masashi Haneda

 

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Active Learning with Model Selection in Linear Regression., и . SDM, стр. 518-529. SIAM, (2008)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)On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution., , и . ICML, стр. 497-504. Omnipress, (2011)Density Ratio Estimation: A New Versatile Tool for Machine Learning.. ACML, том 5828 из Lecture Notes in Computer Science, стр. 6-9. Springer, (2009)Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios., , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 204-212. PMLR, (2017)Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence., , , , , и . AISTATS, том 33 из JMLR Workshop and Conference Proceedings, стр. 669-677. JMLR.org, (2014)Learning Discrete Representations via Information Maximizing Self-Augmented Training., , , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 1558-1567. PMLR, (2017)Mutual information approximation via maximum likelihood estimation of density ratio., , и . ISIT, стр. 463-467. IEEE, (2009)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)