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Causal Inference

3310 directly classified papers

Papers per year

Papers

Learning DAGs from Data with Few Root Causes NIPS 2023
A Cross-Moment Approach for Causal Effect Estimation NIPS 2023
Passive learning of active causal strategies in agents and language models NIPS 2023
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models NIPS 2023
Revisiting Dependency Length and Intervener Complexity Minimisation on a Parallel Corpus in 35 Languages EACL 2023
Estimating Propensity for Causality-based Recommendation without Exposure Data NIPS 2023
Combinatorial Causal Bandits AAAI 2023
Directed Acyclic Graph Structure Learning from Dynamic Graphs AAAI 2023
Zero-shot causal learning NIPS 2023
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation NIPS 2023
Branch-Price-and-Cut for Causal Discovery CLEAR 2023
Causal Learning through Deliberate Undersampling CLEAR 2023
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks NIPS 2023
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca NIPS 2023
Counterfactual Generation with Identifiability Guarantees NIPS 2023
Deductive Verification of Chain-of-Thought Reasoning NIPS 2023
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models NIPS 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics NIPS 2023
Reliable Off-Policy Learning for Dosage Combinations NIPS 2023
Non-parametric identifiability and sensitivity analysis of synthetic control models CLEAR 2023
Global Optimality in Bivariate Gradient-based DAG Learning NIPS 2023
D-Separation for Causal Self-Explanation NIPS 2023
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge NIPS 2023
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing NIPS 2023
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments NIPS 2023