Causal Inference

BiQuAD: Towards QA based on deeper text understanding ACL 2021 Bounding Causal Effects on Continuous Outcome AAAI 2021 Bridging Perception, Memory, and Inference through Semantic Relations EMNLP 2021 Budgeted and Non-Budgeted Causal Bandits AISTATS 2021 Budgeted Heterogeneous Treatment Effect Estimation ICML 2021 Can Sequence-to-Sequence Models Crack Substitution Ciphers? ACL 2021 Cardinality-Regularized Hawkes-Granger Model NeurIPS 2021 Causal Abstractions of Neural Networks NeurIPS 2021 Causal additive models with unobserved variables UAI 2021 Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models ACL 2021 Causal and interventional Markov boundaries UAI 2021 Causal Attention for Unbiased Visual Recognition ICCV 2021 Causal Attention for Vision-Language Tasks CVPR 2021 Causal Augmentation for Causal Sentence Classification EMNLP 2021 Causal Autoregressive Flows AISTATS 2021 Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NeurIPS 2021 Causal Bandits with Unknown Graph Structure NeurIPS 2021 Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning ICML 2021 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP EMNLP 2021 Causal Discovery with Multi-Domain LiNGAM for Latent Factors IJCAI 2021 Causal Effect Inference for Structured Treatments NeurIPS 2021 Causal Effects of Linguistic Properties NAACL 2021 Causal Hidden Markov Model for Time Series Disease Forecasting CVPR 2021 Causal Identification with Matrix Equations NeurIPS 2021 Causal Inference for Event Pairs in Multivariate Point Processes NeurIPS 2021