sensitivity analysis

LAVA: Data Valuation without Pre-Specified Learning Algorithms ICLR 2023 Non-parametric identifiability and sensitivity analysis of synthetic control models CLeaR 2023 Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model NeurIPS 2023 Partial identification of dose responses with hidden confounders UAI 2023 Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning ICCV 2023 Sensitivity-Free Gradient Descent Algorithms JMLR 2023 Sharp Bounds for Generalized Causal Sensitivity Analysis NeurIPS 2023 Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions ACL 2023 The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data NeurIPS 2023 Why Out-of-Distribution detection experiments are not reliable - subtle experimental details muddle the OOD detector rankings UAI 2023 Zero-Shot Model Diagnosis CVPR 2023 Feature Collapsing for Gaussian Process Variable Ranking AISTATS 2022 Kantorovich Mechanism for Pufferfish Privacy AISTATS 2022 Measuring the robustness of Gaussian processes to kernel choice AISTATS 2022 On the Sensitivity and Stability of Model Interpretations in NLP ACL 2022 Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NeurIPS 2022 Second-Order Sensitivity Analysis for Bilevel Optimization AISTATS 2022 Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate AAAI 2022 Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach ICML 2022 You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks PGM 2022 Catformer: Designing Stable Transformers via Sensitivity Analysis ICML 2021 Exploiting Equality Constraints in Causal Inference AISTATS 2021 Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering NeurIPS 2021 Influence Decompositions For Neural Network Attribution AISTATS 2021 Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis NeurIPS 2021