← Core AI
Artificial Intelligence › Core AI ›

Causal Inference

3310 directly classified papers

Papers per year

Papers

Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract) COLT 2024
Contextual Directed Acyclic Graphs AISTATS 2024
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024
Dissecting the Failure of Invariant Learning on Graphs NIPS 2024
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation NIPS 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures AISTATS 2024
Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa IJCAI 2024
Learning and scoring Gaussian latent variable causal models with unknown additive interventions JMLR 2024
Causal Discovery with Generalized Linear Models through Peeling Algorithms JMLR 2024
Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution EMNLP 2024
Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models AISTATS 2024
Model Checking Causality IJCAI 2024
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation AAAI 2024
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering EMNLP 2024
DAG-Informed Structure Learning from Multi-Dimensional Point Processes JMLR 2024
FOLIO: Natural Language Reasoning with First-Order Logic EMNLP 2024
Revisiting Causal Discovery from a Complexity-Theoretic Perspective IJCAI 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024
Bayesian Structural Learning with Parametric Marginals for Count Data: An Application to Microbiota Systems JMLR 2024
Causal effects of intervening variables in settings with unmeasured confounding JMLR 2024
TempoFormer: A Transformer for Temporally-aware Representations in Change Detection EMNLP 2024
Ukrainian Resilience: A Dataset for Detection of Help-Seeking Signals Amidst the Chaos of War EMNLP 2024
DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models JMLR 2024
On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression JMLR 2024
Assessing the Overall and Partial Causal Well-Specification of Nonlinear Additive Noise Models JMLR 2024