causal inference

A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020 A/B Testing in Dense Large-Scale Networks: Design and Inference NeurIPS 2020 A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments AAAI 2020 A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations AAAI 2020 A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model MLHC 2020 A causal view of compositional zero-shot recognition NeurIPS 2020 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 Adapting Text Embeddings for Causal Inference UAI 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 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 Anchored Causal Inference in the Presence of Measurement Error UAI 2020 A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network ACML 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 Bayesian network structure learning with causal effects in the presence of latent variables PGM 2020 Bridging Causality and Learning: How Do They Benefit from Each Other? IJCAI 2020 Causal Bayesian Optimization AISTATS 2020 Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets AAAI 2020