Causal Inference

[CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue ACL 2022 CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation CoRL 2022 Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models CoNLL 2022 Causal Bandits without prior knowledge using separating sets CLeaR 2022 CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning CLeaR 2022 Causal Classification: Treatment Effect Estimation vs. Outcome Prediction JMLR 2022 Causal Contextual Bandits with Targeted Interventions ICLR 2022 Causal Discovery and Reinforcement Learning: A Synergistic Integration PGM 2022 Causal Discovery for Linear Mixed Data CLeaR 2022 Causal Discovery in Hawkes Processes by Minimum Description Length AAAI 2022 Causal Discovery in Linear Latent Variable Models Subject to Measurement Error NeurIPS 2022 Causal Discovery in Linear Structural Causal Models with Deterministic Relations CLeaR 2022 Causal discovery under a confounder blanket UAI 2022 Causal Distillation for Language Models NAACL 2022 Causal Dynamics Learning for Task-Independent State Abstraction ICML 2022 Causal Effect Identification with Context-specific Independence Relations of Control Variables AISTATS 2022 Causal Explanations and XAI CLeaR 2022 Causal forecasting: generalization bounds for autoregressive models UAI 2022 CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting AAAI 2022 Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness NeurIPS 2022 Causal Imitation Learning under Temporally Correlated Noise ICML 2022 Causal Imputation via Synthetic Interventions CLeaR 2022 Causal Inference Through the Structural Causal Marginal Problem ICML 2022 Causal Inference with Non-IID Data using Linear Graphical Models NeurIPS 2022 Causal inference with treatment measurement error: a nonparametric instrumental variable approach UAI 2022