Causal Inference

Counterfactuals uncover the modular structure of deep generative models ICLR 2020 Counterfactual Vision and Language Learning CVPR 2020 CREDICI: A Java Library for Causal Inference by Credal Networks PGM 2020 CREMA: A Java Library for Credal Network Inference PGM 2020 DeBayes: a Bayesian Method for Debiasing Network Embeddings ICML 2020 De-Biased Court’s View Generation with Causality EMNLP 2020 Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation IJCAI 2020 Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation AAAI 2020 DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training ICML 2020 Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions ICML 2020 Deep Structural Causal Models for Tractable Counterfactual Inference NeurIPS 2020 Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals UAI 2020 Detecting Stance in Media On Global Warming EMNLP 2020 Determining Inference Semantics for Disjunctive Logic Programs (Extended Abstract) IJCAI 2020 Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies AAAI 2020 Differentiable Causal Discovery from Interventional Data NeurIPS 2020 Directional Message Passing for Molecular Graphs ICLR 2020 Discovering cause-effect relationships in spatial systems with a known direction based on observational data PGM 2020 Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets UAI 2020 Discovering Human Interactions With Novel Objects via Zero-Shot Learning CVPR 2020 Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models IJCAI 2020 Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery ICML 2020 Distributionally Robust Counterfactual Risk Minimization AAAI 2020 Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making ICML 2020 Domain Adaptation as a Problem of Inference on Graphical Models NeurIPS 2020