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causal inference

1619 papers

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Also known as

ITE IDA SCM CI CATE

Co-occurring keywords

causal discovery (459) structural causal model (182) treatment effect (134) graphical model (863) counterfactual reasoning (224) representation learning (6174) observational datum (109) domain generalization (1517) causal effect (107) causal graph (137)

Papers

Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification IJCAI 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments NIPS 2024
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract) COLT 2024
Monitoring machine learning-based risk prediction algorithms in the presence of performativity AISTATS 2024
Stage-Aware Learning for Dynamic Treatments JMLR 2024
Causal Imitation for Markov Decision Processes: a Partial Identification Approach NIPS 2024
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos CVPR 2024
Efficient Policy Evaluation Across Multiple Different Experimental Datasets NIPS 2024
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024
On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression JMLR 2024
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution AAAI 2024
Quantifying intrinsic causal contributions via structure preserving interventions AISTATS 2024
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse IJCAI 2024
Take Its Essence, Discard Its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect COLING 2024
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024
Causal Effect Identification in a Sub-Population with Latent Variables NIPS 2024
Responsibility in Extensive Form Games AAAI 2024
Axiomatic effect propagation in structural causal models JMLR 2024
PHSIC against Random Consistency and Its Application in Causal Inference IJCAI 2024
ProMark: Proactive Diffusion Watermarking for Causal Attribution CVPR 2024
Unified Covariate Adjustment for Causal Inference NIPS 2024
Markov Equivalence and Consistency in Differentiable Structure Learning NIPS 2024
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model ACL 2024
Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection CVPR 2024
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark NIPS 2024