Causal Inference

Neural Methods for Logical Reasoning over Knowledge Graphs ICLR 2022 Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling L4DC 2022 Neural score matching for high-dimensional causal inference AISTATS 2022 Neural-Symbolic Entangled Framework for Complex Query Answering NeurIPS 2022 Neuron Dependency Graphs: A Causal Abstraction of Neural Networks ICML 2022 Non-parametric Inference Adaptive to Intrinsic Dimension CLeaR 2022 Non-parametric inference of relational dependence UAI 2022 Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling EMNLP 2022 Obtaining Causal Information by Merging Datasets with MAXENT AISTATS 2022 Offer a Different Perspective: Modeling the Belief Alignment of Arguments in Multi-party Debates EMNLP 2022 Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models NeurIPS 2022 Off-Policy Evaluation with Policy-Dependent Optimization Response NeurIPS 2022 On Causally Disentangled Representations AAAI 2022 On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning ICLR 2022 On Instrumental Variable Regression for Deep Offline Policy Evaluation JMLR 2022 Online Balanced Experimental Design ICML 2022 Online Inverse Reinforcement Learning with Learned Observation Model CoRL 2022 Online Reinforcement Learning for Mixed Policy Scopes NeurIPS 2022 On Measuring Causal Contributions via do-interventions ICML 2022 On Paraconsistent Belief Revision in LP AAAI 2022 On testability of the front-door model via Verma constraints UAI 2022 On Testing for Discrimination Using Causal Models AAAI 2022 On the Fairness of Causal Algorithmic Recourse AAAI 2022 Optimal Training of Fair Predictive Models CLeaR 2022 Optimal Transport for Causal Discovery ICLR 2022