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Causal Inference

3310 directly classified papers

Papers per year

Papers

RISE: Robust Individualized Decision Learning with Sensitive Variables NIPS 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings NIPS 2022
Generative multitask learning mitigates target-causing confounding NIPS 2022
Latent Hierarchical Causal Structure Discovery with Rank Constraints NIPS 2022
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NIPS 2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty NIPS 2022
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation NIPS 2022
Verification and search algorithms for causal DAGs NIPS 2022
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NIPS 2022
Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery NIPS 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior NIPS 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts NIPS 2022
Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base NAACL 2022
Interactive rank testing by betting CLEAR 2022
Non-parametric Inference Adaptive to Intrinsic Dimension CLEAR 2022
Causal Bandits without prior knowledge using separating sets CLEAR 2022
Environment Diversification with Multi-head Neural Network for Invariant Learning NIPS 2022
Cluster Randomized Designs for One-Sided Bipartite Experiments NIPS 2022
Counterfactual harm NIPS 2022
Learning from Stochastically Revealed Preference NIPS 2022
Doubly Robust Counterfactual Classification NIPS 2022
Finding and Listing Front-door Adjustment Sets NIPS 2022
Performative Power NIPS 2022
Adaptively Exploiting d-Separators with Causal Bandits NIPS 2022
Truncated Matrix Power Iteration for Differentiable DAG Learning NIPS 2022