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self-concordant loss

3 papers

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Co-occurring keywords · papers mentioning both

kernel methods (2) orthogonal statistical learning (1) fast convergence rate (1) regularized empirical risk minimization (1) partially linear model (1) iterative regularization (1) tikhonov regularization (1) nuisance parameter (1) fast rate (1) double machine learning (1)

Papers

Orthogonal Statistical Learning with Self-Concordant Loss COLT 2022 Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization NeurIPS 2021 Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance COLT 2019