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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

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

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

Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty

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

Mean-Covariance Robust Risk Measurement

Machine Learning Security in Industry: A Quantitative Survey

Learning curves for the multi-class teacher-student perceptron