perturbation bound

Efficient Robustness Evaluation via Constraint Relaxation AAAI 2025 Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness AISTATS 2025 Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study AAAI 2024 Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective COLT 2023 CARBEN: Composite Adversarial Robustness Benchmark IJCAI 2022 On the Effectiveness of Iterative Learning Control L4DC 2022 A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration JMLR 2021 Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems NeurIPS 2021 Towards a Dimension-Free Understanding of Adaptive Linear Control COLT 2021 Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning JMLR 2020 Proper Network Interpretability Helps Adversarial Robustness in Classification ICML 2020 Certainty Equivalence is Efficient for Linear Quadratic Control NeurIPS 2019 Cost-Sensitive Robustness against Adversarial Examples ICLR 2019 Fault Tolerance in Iterative-Convergent Machine Learning ICML 2019 An ℓ_∞ Eigenvector Perturbation Bound and Its Application JMLR 2018 Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope ICML 2018 R-SVM+: Robust Learning with Privileged Information IJCAI 2018 Tensor Decomposition via Joint Matrix Schur Decomposition ICML 2016 Fast Exact Matrix Completion with Finite Samples COLT 2015