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Causal Inference

3,333 papers

Papers per year

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15
28
277
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Papers

NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics NIPS 2024
Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations NIPS 2024
Abductive Reasoning in Logical Credal Networks NIPS 2024
Consistency of Neural Causal Partial Identification NIPS 2024
Bias Detection via Signaling NIPS 2024
Qualitative Mechanism Independence NIPS 2024
Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data NIPS 2024
Improving Generalization of Dynamic Graph Learning via Environment Prompt NIPS 2024
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NIPS 2024
Marrying Causal Representation Learning with Dynamical Systems for Science NIPS 2024
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NIPS 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NIPS 2024
Testing Semantic Importance via Betting NIPS 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition NIPS 2024
End-To-End Causal Effect Estimation from Unstructured Natural Language Data NIPS 2024
Covariate Shift Corrected Conditional Randomization Test NIPS 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024
Dissecting the Failure of Invariant Learning on Graphs NIPS 2024
Higher-Order Causal Message Passing for Experimentation with Complex Interference NIPS 2024
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm NIPS 2024
Achievable distributional robustness when the robust risk is only partially identified NIPS 2024
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making NIPS 2024
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NIPS 2024
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NIPS 2024
Interventional Causal Discovery in a Mixture of DAGs NIPS 2024