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Causal Inference

3310 directly classified papers

Papers per year

Papers

Teaching Probabilistic Logical Reasoning to Transformers EACL 2024
Align and Augment: Generative Data Augmentation for Compositional Generalization EACL 2024
Language Models Still Struggle to Zero-shot Reason about Time Series EMNLP 2024
Dual Likelihood for Causal Inference under Structure Uncertainty CLEAR 2024
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens CLEAR 2024
$\texttt{causalAssembly}$: Generating Realistic Production Data for Benchmarking Causal Discovery CLEAR 2024
Causality for Functional Longitudinal Data CLEAR 2024
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice CLEAR 2024
Estimating the Causal Effect of Early ArXiving on Paper Acceptance CLEAR 2024
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study CLEAR 2024
Causal Layering via Conditional Entropy CLEAR 2024
Causal discovery in a complex industrial system: A time series benchmark CLEAR 2024
Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach CLEAR 2024
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding CLEAR 2024
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis CLEAR 2024
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations CLEAR 2024
Bicycle: Intervention-Based Causal Discovery with Cycles CLEAR 2024
Towards the Reusability and Compositionality of Causal Representations CLEAR 2024
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift CLEAR 2024
Causal Matching using Random Hyperplane Tessellations CLEAR 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation CLEAR 2024
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions CLEAR 2024
Toward the Identifiability of Comparative Deep Generative Models CLEAR 2024
Sequential Deconfounding for Causal Inference with Unobserved Confounders CLEAR 2024
Bootstrap aggregation and confidence measures to improve time series causal discovery CLEAR 2024