Robust linear classification from limited training data

DOI10.1007/s10994-021-06093-5OpenAlexW3216836637MaRDI QIDQ2163210

Deepayan Chakrabarti

Publication date: 10 August 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2110.01648

zbMATH Keywords

classificationmaximum entropyrobust optimizationprincipal components

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• ROME

Cites Work

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• Data-driven chance constrained stochastic program
• Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations
• A framework for optimization under ambiguity
• Ambiguous chance constrained problems and robust optimization
• Robust classification and regression using support vector machines
• Distributionally Robust Convex Optimization
• Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems
• Distributionally Robust Optimization and Its Tractable Approximations
• Robust Solutions to Least-Squares Problems with Uncertain Data
• Portfolio Construction by Mitigating Error Amplification: The Bounded-Noise Portfolio
• Regularization via Mass Transportation
• A useful variant of the Davis–Kahan theorem for statisticians
• Robust Regression and Lasso
• DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES
• The Rotation of Eigenvectors by a Perturbation. III
• Robust estimation in the logistic regression model