Causal Inference

Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NeurIPS 2021 Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions NeurIPS 2021 Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals AAAI 2021 Sensitivity Analysis for Causal Mediation through Text: an Application to Political Polarization EMNLP 2021 Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders NeurIPS 2021 SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data NeurIPS 2021 Testing Independence Between Linear Combinations for Causal Discovery AAAI 2021 Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects EMNLP 2021 The Blessings of Unlabeled Background in Untrimmed Videos CVPR 2021 Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021 Treatment Effect Estimation with Disentangled Latent Factors AAAI 2021 Uncertain Decisions Facilitate Better Preference Learning NeurIPS 2021 Uncovering Latent Biases in Text: Method and Application to Peer Review AAAI 2021 Uncovering Main Causalities for Long-tailed Information Extraction EMNLP 2021 User Retention: A Causal Approach with Triple Task Modeling IJCAI 2021 Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects AISTATS 2021 A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020 A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments AAAI 2020 Active Invariant Causal Prediction: Experiment Selection through Stability NeurIPS 2020 Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation UAI 2020 Adversarial Counterfactual Learning and Evaluation for Recommender System NeurIPS 2020 Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract) AAAI 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