Fundamental barriers to high-dimensional regression with convex penalties
Annals of Statistics, 2022Andrea Montanari
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Variable selection in convex quantile regression: L1-norm or L0-norm regularization?
European Journal of Operational Research, 2023Sheng Dai
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A Smoothing Proximal Gradient Algorithm for Nonsmooth Convex Regression with Cardinality Penalty
SIAM Journal on Numerical Analysis, 2020Xiaojun Chen, Wei Bian
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Non-convex isotonic regression via the Myersonian approach
Statistics and Probability Letters, 2021Chihoon Lee +2 more
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A Computational Framework for Multivariate Convex Regression and Its Variants
Journal of the American Statistical Association, 2019Garud Iyengar, , Rahul Mazumder
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Convex regularization for high-dimensional multiresponse tensor regression
Annals of Statistics, 2019Ming Yuan
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Real-time fuzzy regression analysis: A convex hull approach
European Journal of Operational Research, 2011Azizul Azhar Ramli
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The limiting behavior of isotonic and convex regression estimators when the model is misspecified
Electronic Journal of Statistics, 2020Eunji Lim
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Large-scale regression with non-convex loss and penalty
Applied Numerical Mathematics, 2020Marco Donatelli +2 more
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Consistency and robustness of kernel-based regression in convex risk minimization
Bernoulli, 2007Ingo Steinwart, Andreas Christmann
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