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Adversarial Analytics

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Adversarial Analytics

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A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

Regularization for distributionally robust state estimation and prediction

Machine Learning Security in Industry: A Quantitative Survey

Learning curves for the multi-class teacher-student perceptron

Regularization for distributionally robust state estimation and prediction

Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation

Multi-Level Monte Carlo Methods for Uncertainty Quantification and Risk-Averse Optimisation

Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty

Mean-Covariance Robust Risk Measurement

System and methods for real time noninvasive estimation of cardiovascular parameters

Regularization for distributionally robust state estimation and prediction

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

Regularization for distributionally robust state estimation and prediction

Machine Learning Security in Industry: A Quantitative Survey

Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation

Learning curves for the multi-class teacher-student perceptron

Multi-Level Monte Carlo Methods for Uncertainty Quantification and Risk-Averse Optimisation

Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty

Mean-Covariance Robust Risk Measurement

System and methods for real time noninvasive estimation of cardiovascular parameters