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high-dimensional model

6 papers

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Co-occurring keywords · papers mentioning both

high-dimensional regression (2) irrepresentable condition (1) geometrically decomposable penalties (1) sublinear communication (1) regularized model (1) support function (1) penalized estimator (1) statistical error bound (1) filtering and smoothing (1) tensor regression (1)

Papers

Representer Point Selection for Explaining Regularized High-dimensional Models ICML 2023 Exploiting locality in high-dimensional Factorial hidden Markov models JMLR 2022 Distributed Learning with Sublinear Communication ICML 2019 Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression JMLR 2019 On model selection consistency of penalized M-estimators: a geometric theory NeurIPS 2013 A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers NeurIPS 2009