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High-dimensional classification by sparse logistic regression

26 June 2017

Papers citing "High-dimensional classification by sparse logistic regression"

31 / 31 papers shown

Title
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models Tien Mai FedML 93 0 0 14 Apr 2025
High-dimensional prediction for count response via sparse exponential weights The Tien Mai 69 0 0 20 Oct 2024
Misclassification excess risk bounds for PAC-Bayesian classification via convexified loss The Tien Mai 84 0 0 16 Aug 2024
ERM-Lasso classification algorithm for Multivariate Hawkes Processes paths Charlotte Dion‐Blanc Christophe Denis Laure Sansonnet Romain E Lacoste 71 1 0 16 Jul 2024
Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance The Tien Mai 66 0 0 29 May 2024
On high-dimensional classification by sparse generalized Bayesian logistic regression The Tien Mai 73 2 0 19 Mar 2024
Misclassification excess risk bounds for 1-bit matrix completion The Tien Mai 52 0 0 20 Dec 2023
Statistical learning by sparse deep neural networks Felix Abramovich BDL 77 1 0 15 Nov 2023
$Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with $\ell_0$-constraints$ Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with $\ell_0$ -constraints Weifeng Yang Wenwen Min 29 0 0 17 Sep 2023
On Regularized Sparse Logistic Regression Mengyuan Zhang Kai-Chun Liu 74 1 0 12 Sep 2023
Structured Low-Rank Tensors for Generalized Linear Models Batoul Taki Anand D. Sarwate W. Bajwa 56 2 0 05 Aug 2023
Weak pattern convergence for SLOPE and its robust versions Ivan Hejný J. Wallin M. Bogdan 88 1 0 20 Mar 2023
$Tight bounds for maximum $\ell_1$-margin classifiers$ Tight bounds for maximum $\ell_1$ -margin classifiers Stefan Stojanovic Konstantin Donhauser Fanny Yang 76 0 0 07 Dec 2022
Classification by sparse generalized additive models F. Abramovich 95 5 0 04 Dec 2022
Blessing of Class Diversity in Pre-training Yulai Zhao Jianshu Chen S. Du AI4CE 77 3 0 07 Sep 2022
Generalization Error Bounds for Multiclass Sparse Linear Classifiers Tomer Levy F. Abramovich 74 5 0 13 Apr 2022
Pattern recovery by SLOPE M. Bogdan Xavier Dupuis P. Graczyk Bartosz Kołodziejek T. Skalski P. Tardivel Maciej Wilczyñski 90 8 0 22 Mar 2022
Stability and Risk Bounds of Iterative Hard Thresholding Xiao-Tong Yuan P. Li 61 12 0 17 Mar 2022
Fast Rates for Noisy Interpolation Require Rethinking the Effects of Inductive Bias Konstantin Donhauser Nicolò Ruggeri Stefan Stojanovic Fanny Yang 92 22 0 07 Mar 2022
Leveraging Time Irreversibility with Order-Contrastive Pre-training Monica Agrawal Hunter Lang M. Offin L. Gazit David Sontag 56 7 0 04 Nov 2021
A note on sharp oracle bounds for Slope and Lasso Zhiyong Zhou 47 0 0 23 Jul 2021
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression Batoul Taki Mohsen Ghassemi Anand D. Sarwate W. Bajwa 44 3 0 31 May 2021
On robust learning in the canonical change point problem under heavy tailed errors in finite and growing dimensions Debarghya Mukherjee Moulinath Banerjee Yaácov Ritov 23 3 0 25 May 2021
Large Scale Prediction with Decision Trees Jason M. Klusowski Peter M. Tian 68 46 0 28 Apr 2021
Meta-Learning with Network Pruning Hongduan Tian Bo Liu Xiaotong Yuan Qingshan Liu 58 27 0 07 Jul 2020
Multiclass classification by sparse multinomial logistic regression F. Abramovich V. Grinshtein Tomer Levy 71 25 0 04 Mar 2020
Generalization Bounds for High-dimensional M-estimation under Sparsity Constraint Xiao-Tong Yuan Ping Li 78 2 0 20 Jan 2020
On the asymptotic properties of SLOPE Michał Kos M. Bogdan 54 19 0 23 Aug 2019
Optimal Linear Discriminators For The Discrete Choice Model In Growing Dimensions Debarghya Mukherjee Moulinath Banerjee Yaácov Ritov 42 8 0 24 Mar 2019
$High Dimensional Classification through $\ell_0$-Penalized Empirical Risk Minimization$ High Dimensional Classification through $\ell_0$ -Penalized Empirical Risk Minimization Le‐Yu Chen S. Lee 13 3 0 23 Nov 2018
Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models Rong Ma T. Tony Cai Hongzhe Li 71 67 0 17 May 2018