Co-occurring keywords · papers mentioning both
Papers
Fair Multiple Decision Making Through Soft Interventions
NeurIPS 2020
FairyTED: A Fair Rating Predictor for TED Talk Data
AAAI 2020
Feature relevance quantification in explainable AI: A causal problem
AISTATS 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer
ICML 2020
General Control Functions for Causal Effect Estimation from IVs
NeurIPS 2020
General Identification of Dynamic Treatment Regimes Under Interference
AISTATS 2020
Generalized Optimal Matching Methods for Causal Inference
JMLR 2020
General Transportability of Soft Interventions: Completeness Results
NeurIPS 2020
General Transportability – Synthesizing Observations and Experiments from Heterogeneous Domains
AAAI 2020
Generative causal explanations of black-box classifiers
NeurIPS 2020
GLUCOSE: GeneraLized and COntextualized Story Explanations
EMNLP 2020
Gradient Regularized V-Learning for Dynamic Treatment Regimes
NeurIPS 2020
How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines
IJCAI 2020
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
NeurIPS 2020
Identification and Estimation of Causal Effects Defined by Shift Interventions
UAI 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
NeurIPS 2020
Identifying Causal Relationships Between Behavior and Local Brain Activity During Natural Conversation
Interspeech 2020
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
IJCAI 2020
Interventional Few-Shot Learning
NeurIPS 2020
Invariant Causal Prediction for Block MDPs
ICML 2020
Ivy: Instrumental Variable Synthesis for Causal Inference
AISTATS 2020
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments
ICML 2020
Learning and Sampling of Atomic Interventions from Observations
ICML 2020
Learning Causal Effects via Weighted Empirical Risk Minimization
NeurIPS 2020
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
AAAI 2020