Causal Inference

Neural Markov Random Field for Stereo Matching CVPR 2024 Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs NeurIPS 2024 Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations NeurIPS 2024 No Free Delivery Service: Epistemic limits of passive data collection in complex social systems NeurIPS 2024 Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients NeurIPS 2024 Not all distributional shifts are equal: Fine-grained robust conformal inference ICML 2024 NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling ICLR 2024 Object centric architectures enable efficient causal representation learning ICLR 2024 Octopi: Object Property Reasoning with Large Tactile-Language Models RSS 2024 ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference ICLR 2024 Offline Policy Evaluation and Optimization Under Confounding AISTATS 2024 Off-policy estimation with adaptively collected data: the power of online learning NeurIPS 2024 On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models JMLR 2024 On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression JMLR 2024 Online Learning of Capacity-Based Preference Models IJCAI 2024 On Positivity Condition for Causal Inference ICML 2024 On Statistical Learning Theory for Distributional Inputs ICML 2024 On the Actionability of Outcome Prediction AAAI 2024 On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation NeurIPS 2024 On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function NeurIPS 2024 On the Identifiability of Switching Dynamical Systems ICML 2024 On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and Necessity Criteria in Explainable AI CLeaR 2024 On the Misspecification of Linear Assumptions in Synthetic Controls AISTATS 2024 On the Parameter Identifiability of Partially Observed Linear Causal Models NeurIPS 2024 On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data ICML 2024