Causal Inference

On Inductive Biases for Heterogeneous Treatment Effect Estimation NeurIPS 2021 Online Action Recognition AAAI 2021 On Locality of Local Explanation Models NeurIPS 2021 On Path Integration of Grid Cells: Group Representation and Isotropic Scaling NeurIPS 2021 On Recovering from Modeling Errors Using Testing Bayesian Networks ICML 2021 Ontology-Enriched Query Answering on Relational Databases AAAI 2021 Open World Compositional Zero-Shot Learning CVPR 2021 Operationalizing Complex Causes: A Pragmatic View of Mediation ICML 2021 Ordering-Based Causal Discovery with Reinforcement Learning IJCAI 2021 Out-of-Distribution Generalization via Risk Extrapolation (REx) ICML 2021 PAC Learning of Causal Trees with Latent Variables AAAI 2021 Partial Identifiability in Discrete Data with Measurement Error UAI 2021 Partisanship and Fear are Associated with Resistance to COVID-19 Directives EACL 2021 Path dependent structural equation models UAI 2021 Permutation Weighting ICML 2021 PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception AAAI 2021 Physically-Aware Generative Network for 3D Shape Modeling CVPR 2021 Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models AAAI 2021 PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components UAI 2021 Policy Analysis using Synthetic Controls in Continuous-Time ICML 2021 Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs AAAI 2021 Preferred Explanations for Ontology-Mediated Queries under Existential Rules AAAI 2021 Probabilistic Dependency Graphs AAAI 2021 Provable Guarantees on the Robustness of Decision Rules to Causal Interventions IJCAI 2021 Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NeurIPS 2021