Causal Inference

A unified theory for the origin of grid cells through the lens of pattern formation NeurIPS 2019 A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains ACL 2019 Bacteria Biotope at BioNLP Open Shared Tasks 2019 EMNLP 2019 Belief Update without Compactness in Non-finitary Languages IJCAI 2019 Beyond Structural Causal Models: Causal Constraints Models UAI 2019 Blameworthiness in Strategic Games AAAI 2019 Building Causal Graphs from Medical Literature and Electronic Medical Records AAAI 2019 Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias UAI 2019 Causal Confusion in Imitation Learning NeurIPS 2019 Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models ICML 2019 Causal Discovery in the Presence of Missing Data AISTATS 2019 Causal Discovery with General Non-Linear Relationships using Non-Linear ICA UAI 2019 Causal Embeddings for Recommendation: An Extended Abstract IJCAI 2019 Causal Identification under Markov Equivalence: Completeness Results ICML 2019 Causal Inference Under Interference And Network Uncertainty UAI 2019 Causal Learning via Manifold Regularization JMLR 2019 Causal Regularization NeurIPS 2019 Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction JMLR 2019 Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions NeurIPS 2019 Classifying Treatment Responders Under Causal Effect Monotonicity ICML 2019 Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise AAAI 2019 Commonsense Knowledge Mining from Pretrained Models EMNLP 2019 Computational Ad Hominem Detection ACL 2019 Conditional Independence in Testing Bayesian Networks ICML 2019 Constraint-based Causal Structure Learning with Consistent Separating Sets NeurIPS 2019