Causal Inference

Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction ICML 2021 Qualitative Spatial and Temporal Reasoning: Current Status and Future Challenges IJCAI 2021 Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding ICML 2021 Randomized Deep Structured Prediction for Discourse-Level Processing EACL 2021 Recovering Latent Causal Factor for Generalization to Distributional Shifts NeurIPS 2021 Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias NeurIPS 2021 Regression Discontinuity Design under Self-selection AISTATS 2021 Regret Minimization for Causal Inference on Large Treatment Space AISTATS 2021 Regret-Optimal Filtering AISTATS 2021 Regularizing towards Causal Invariance: Linear Models with Proxies ICML 2021 Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions NeurIPS 2021 Reliable Decisions with Threshold Calibration NeurIPS 2021 Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience NeurIPS 2021 Representation Learning via Invariant Causal Mechanisms ICLR 2021 Responsibility Attribution in Parameterized Markovian Models AAAI 2021 Reward Identification in Inverse Reinforcement Learning ICML 2021 Robust Imitation Learning from Noisy Demonstrations AISTATS 2021 Robust Testing and Estimation under Manipulation Attacks ICML 2021 Scalable Intervention Target Estimation in Linear Models NeurIPS 2021 Scalable Quasi-Bayesian Inference for Instrumental Variable Regression NeurIPS 2021 Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs ACL 2021 Selecting Data Augmentation for Simulating Interventions ICML 2021 Sensitivity Analysis for Causal Mediation through Text: an Application to Political Polarization EMNLP 2021 Sequential Causal Imitation Learning with Unobserved Confounders NeurIPS 2021 Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics IJCAI 2021