Co-occurring keywords · papers mentioning both
Papers
Deep Structural Causal Models for Tractable Counterfactual Inference
NeurIPS 2020
Estimating counterfactual treatment outcomes over time through adversarially balanced representations
ICLR 2020
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems
NeurIPS 2019
Minimum Intervention Cover of a Causal Graph
AAAI 2019
Representation Learning for Treatment Effect Estimation from Observational Data
NeurIPS 2018
Unbiased Learning-to-Rank with Biased Feedback
IJCAI 2018
Learning Representations for Counterfactual Inference
ICML 2016