Finite-sample analysis of M-estimators using self-concordance

16 October 2018

Papers citing "Finite-sample analysis of M-estimators using self-concordance"

10 / 10 papers shown

Title
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization Lukas Gruber Markus Holzleitner Johannes Lehner Sepp Hochreiter Werner Zellinger 51 1 0 21 Feb 2024
The SSL Interplay: Augmentations, Inductive Bias, and Generalization Vivien A. Cabannes B. Kiani Randall Balestriero Yann LeCun A. Bietti SSL 19 31 0 06 Feb 2023
Orthogonal Statistical Learning with Self-Concordant Loss Lang Liu Carlos Cinelli Zaïd Harchaoui 12 2 0 30 Apr 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption Lihu Xu Fang Yao Qiuran Yao Huiming Zhang 38 10 0 10 Jan 2022
SCORE: Approximating Curvature Information under Self-Concordant Regularization Adeyemi Damilare Adeoye Alberto Bemporad 20 4 0 14 Dec 2021
Differentially private inference via noisy optimization Marco Avella-Medina Casey Bradshaw Po-Ling Loh FedML 40 29 0 19 Mar 2021
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization Deyi Liu V. Cevher Quoc Tran-Dinh 34 15 0 17 Feb 2020
Self-Concordant Analysis of Frank-Wolfe Algorithms Pavel Dvurechensky P. Ostroukhov K. Safin Shimrit Shtern Mathias Staudigl 19 24 0 11 Feb 2020
$A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts$ A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts Ezequiel Smucler A. Rotnitzky J. M. Robins CML 24 76 0 07 Apr 2019
$On Verifiable Sufficient Conditions for Sparse Signal Recovery via $\ell_1$ Minimization$ On Verifiable Sufficient Conditions for Sparse Signal Recovery via $\ell_1$ Minimization A. Juditsky A. Nemirovski 106 142 0 16 Sep 2008