Causal Inference

A Causal View on Robustness of Neural Networks NeurIPS 2020 A Class of Algorithms for General Instrumental Variable Models NeurIPS 2020 Active Invariant Causal Prediction: Experiment Selection through Stability NeurIPS 2020 Active Structure Learning of Causal DAGs via Directed Clique Trees NeurIPS 2020 Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NeurIPS 2020 Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation UAI 2020 Adversarial Counterfactual Learning and Evaluation for Recommender System NeurIPS 2020 Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation AAAI 2020 Agreement Prediction of Arguments in Cyber Argumentation for Detecting Stance Polarity and Intensity ACL 2020 Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract) AAAI 2020 Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NeurIPS 2020 Alleviating Privacy Attacks via Causal Learning ICML 2020 Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference AISTATS 2020 A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms ICLR 2020 Analogous Process Structure Induction for Sub-event Sequence Prediction EMNLP 2020 An Analysis of Dataset Overlap on Winograd-Style Tasks COLING 2020 Anchored Causal Inference in the Presence of Measurement Error UAI 2020 A New Framework for Online Testing of Heterogeneous Treatment Effect AAAI 2020 A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network ACML 2020 A polynomial-time algorithm for learning nonparametric causal graphs NeurIPS 2020 Applications of Common Entropy for Causal Inference NeurIPS 2020 A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models AAAI 2020 Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability NeurIPS 2020 Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning EMNLP 2020 Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks NeurIPS 2020