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causal effect

107 papers

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Co-occurring keywords

causal inference (1630) graphical model (864) instrumental variable (75) causal identification (37) structural causal model (184) causal graph (140) directed acyclic graph (245) causal effect estimation (69) causal discovery (460) latent variable (541)

Papers

Sequential Underspecified Instrument Selection for Cause-Effect Estimation ICML 2023
Instrumental Variable Estimation of Average Partial Causal Effects ICML 2023
The Hardness of Reasoning about Probabilities and Causality IJCAI 2023
Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction EMNLP 2023
Causal Inference from Text: Unveiling Interactions between Variables EMNLP 2023
Causal Entropy Optimization AISTATS 2023
Leveraging Causal Graphs for Blocking in Randomized Experiments CLEAR 2023
Stochastic Causal Programming for Bounding Treatment Effects CLEAR 2023
Causal inference with outcome-dependent missingness and self-censoring UAI 2023
Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning ICML 2023
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding CLEAR 2023
A Reinforcement Learning Framework for Dynamic Mediation Analysis ICML 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention IJCAI 2023
Evaluating Instrument Validity using the Principle of Independent Mechanisms JMLR 2023
Fast Counterfactual Inference for History-Based Reinforcement Learning AAAI 2023
Matching Learned Causal Effects of Neural Networks with Domain Priors ICML 2022
Causal Inference with Non-IID Data using Linear Graphical Models NIPS 2022
Efficient Least Squares for Estimating Total Effects under Linearity and Causal Sufficiency JMLR 2022
Finding and Listing Front-door Adjustment Sets NIPS 2022
Estimating Social Influence from Observational Data CLEAR 2022
A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the $k$-Triangle-Faithfulness Assumption CLEAR 2022
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects NIPS 2022
A robustness test for estimating total effects with covariate adjustment UAI 2022
Bayesian federated estimation of causal effects from observational data UAI 2022
Bounds on Causal Effects and Application to High Dimensional Data AAAI 2022