conftrace_

sensitivity analysis

80 papers

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Co-occurring keywords

causal inference (1630) differential privacy (1016) neural network (6616) bayesian inference (1907) gaussian process (1200) unobserved confounding (23) uncertainty quantification (1393) transformer model (1996) partial identification (16) feature attribution (280)

Papers

Non-parametric identifiability and sensitivity analysis of synthetic control models CLEAR 2023
Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping AAAI 2023
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions ACL 2023
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning ICCV 2023
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP ACL 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis NIPS 2023
Why Out-of-Distribution detection experiments are not reliable - subtle experimental details muddle the OOD detector rankings UAI 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model NIPS 2023
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach ICML 2022
Measuring the robustness of Gaussian processes to kernel choice AISTATS 2022
Kantorovich Mechanism for Pufferfish Privacy AISTATS 2022
Feature Collapsing for Gaussian Process Variable Ranking AISTATS 2022
Second-Order Sensitivity Analysis for Bilevel Optimization AISTATS 2022
You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks PGM 2022
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NIPS 2022
On the Sensitivity and Stability of Model Interpretations in NLP ACL 2022
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate AAAI 2022
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding ICML 2021
Catformer: Designing Stable Transformers via Sensitivity Analysis ICML 2021
Sensitivity Analysis for Causal Mediation through Text: an Application to Political Polarization EMNLP 2021
Exploiting Equality Constraints in Causal Inference AISTATS 2021
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis NIPS 2021
Influence Decompositions For Neural Network Attribution AISTATS 2021