sensitivity analysis

A Neural Framework for Generalized Causal Sensitivity Analysis ICLR 2024 Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models CVPR 2024 Causal Dependence Plots NeurIPS 2024 Computing epidemic metrics with edge differential privacy AISTATS 2024 Conditional Bayesian Quadrature UAI 2024 COPAL: Continual Pruning in Large Language Generative Models ICML 2024 Differentially Private Topological Data Analysis JMLR 2024 Hacking predictors means hacking cars: Using sensitivity analysis to identify trajectory prediction vulnerabilities for autonomous driving security L4DC 2024 Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024 Learning relevant contextual variables within Bayesian optimization UAI 2024 Mapping the Multiverse of Latent Representations ICML 2024 Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models ICML 2024 Not all distributional shifts are equal: Fine-grained robust conformal inference ICML 2024 Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference IJCAI 2024 Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting ICLR 2024 Some Constructions of Private, Efficient, and Optimal K-Norm and Elliptic Gaussian Noise COLT 2024 Surrogate Active Subspaces for Jump-Discontinuous Functions AISTATS 2024 The Relative Gaussian Mechanism and its Application to Private Gradient Descent AISTATS 2024 Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models AAAI 2024 Zero Inflation as a Missing Data Problem: a Proxy-based Approach UAI 2024 Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping AAAI 2023 COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP ACL 2023 Computing Approximate ℓ_p Sensitivities NeurIPS 2023 Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023 Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023