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  "Title": "Nonparametric Estimation by the Method of Sieves",
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  "Author": "Tianyu Zhang",
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  "Description": "Performs multivariate nonparametric\nregression/classification by the method of sieves (using\northogonal basis). The method is suitable for moderate\nhigh-dimensional features (dimension < 100). The l1-penalized\nsieve estimator, a nonparametric generalization of Lasso, is\nadaptive to the feature dimension with provable theoretical\nguarantees. We also include a nonparametric stochastic gradient\ndescent estimator, Sieve-SGD, for online or large scale batch\nproblems. Details of the methods can be found in:\n<arXiv:2206.02994> <arXiv:2104.00846><arXiv:2310.12140>.",
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      "title": "Nonparametric Estimation by the Method of Sieves",
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        "Sieve"
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