Co-occurring keywords · papers mentioning both
Papers
Counterfactual Predictions under Runtime Confounding
NeurIPS 2020
Counterfactual Vision and Language Learning
CVPR 2020
CREDICI: A Java Library for Causal Inference by Credal Networks
PGM 2020
De-Biased Court’s View Generation with Causality
EMNLP 2020
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training
ICML 2020
Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals
UAI 2020
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach
ICML 2020
Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies
AAAI 2020
Distributionally Robust Counterfactual Risk Minimization
AAAI 2020
Domain Adaptation as a Problem of Inference on Graphical Models
NeurIPS 2020
Dynamical Systems Theory for Causal Inference with Application to Synthetic Control Methods
AISTATS 2020
Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models
JMLR 2020
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning
NeurIPS 2020
Efficient Policy Learning from Surrogate-Loss Classification Reductions
ICML 2020
Entropic Causal Inference: Identifiability and Finite Sample Results
NeurIPS 2020
Estimating counterfactual treatment outcomes over time through adversarially balanced representations
ICLR 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
NeurIPS 2020
Estimation of Bounds on Potential Outcomes For Decision Making
ICML 2020
Estimation Rates for Sparse Linear Cyclic Causal Models
UAI 2020
Evaluation of Causal Structure Learning Algorithms via Risk Estimation
UAI 2020
Event-Driven Continuous Time Bayesian Networks
AAAI 2020
Explainable Agency in Reinforcement Learning Agents
AAAI 2020
Explainable Reinforcement Learning through a Causal Lens
AAAI 2020
Exploring Logically Dependent Multi-task Learning with Causal Inference
EMNLP 2020
Fair Data Adaptation with Quantile Preservation
JMLR 2020