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Causal Inference

3310 directly classified papers

Papers per year

Papers

RoPINN: Region Optimized Physics-Informed Neural Networks NIPS 2024

Linear Causal Representation Learning from Unknown Multi-node Interventions NIPS 2024

Learning diverse causally emergent representations from time series data NIPS 2024

Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems NIPS 2024

Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs NIPS 2024

Learning Identifiable Factorized Causal Representations of Cellular Responses NIPS 2024

Towards Understanding Extrapolation: a Causal Lens NIPS 2024

Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations NIPS 2024

Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention NIPS 2024

Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation NIPS 2024

Inference of Neural Dynamics Using Switching Recurrent Neural Networks NIPS 2024

PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation NIPS 2024

Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients NIPS 2024

Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation NIPS 2024

Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators NIPS 2024

Diffusion Twigs with Loop Guidance for Conditional Graph Generation NIPS 2024

Partial Transportability for Domain Generalization NIPS 2024

Propensity Score Alignment of Unpaired Multimodal Data NIPS 2024

No Free Delivery Service: Epistemic limits of passive data collection in complex social systems NIPS 2024

Discovery of the Hidden World with Large Language Models NIPS 2024

Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding NIPS 2024

Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models NIPS 2024

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance NIPS 2024

MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations NIPS 2024

Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments NIPS 2024