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

Uncertainty-aware sensitivity analysis using Rényi divergences UAI 2021
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering NIPS 2021
Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions JMLR 2020
Fairness Evaluation in Presence of Biased Noisy Labels AISTATS 2020
SAM: The Sensitivity of Attribution Methods to Hyperparameters CVPR 2020
Coresets for Regressions with Panel Data NIPS 2020
The Discrete Gaussian for Differential Privacy NIPS 2020
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding NIPS 2020
Monte Carlo Gradient Estimation in Machine Learning JMLR 2020
Learning Sensitivity of RCPSP by Analyzing the Search Process IJCAI 2020
Towards practical differentially private causal graph discovery NIPS 2020
Evaluating and Aggregating Feature-based Model Explanations IJCAI 2020
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution AISTATS 2019
Active Manifolds: A non-linear analogue to Active Subspaces ICML 2019
Sensitivity Analysis of Linear Structural Causal Models ICML 2019
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds NIPS 2019
Sensitivity Analysis of Deep Neural Networks AAAI 2019
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding UAI 2019
Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis IJCAI 2019
A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing RSS 2018
INSPECTRE: Privately Estimating the Unseen ICML 2018
Confounding-Robust Policy Improvement NIPS 2018
Differential Privacy for Bayesian Inference through Posterior Sampling JMLR 2017
A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification IJCNLP 2017