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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

Bounds on Causal Effects and Application to High Dimensional Data AAAI 2022
Efficient Least Squares for Estimating Total Effects under Linearity and Causal Sufficiency JMLR 2022
Bounding Causal Effects on Continuous Outcome AAAI 2021
Distilling Causal Effect of Data in Class-Incremental Learning CVPR 2021
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction EMNLP 2021
Counterfactual VQA: A Cause-Effect Look at Language Bias CVPR 2021
Causal Modeling with Stochastic Confounders AISTATS 2021
Confidence in causal discovery with linear causal models UAI 2021
Valid Causal Inference with (Some) Invalid Instruments ICML 2021
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning ICML 2021
Answering Complex Causal Queries With the Maximum Causal Set Effect NIPS 2021
Instrumental Variable-based Identification for Causal Effects using Covariate Information AAAI 2021
Causal Identification with Matrix Equations NIPS 2021
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable NIPS 2021
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables NIPS 2021
Causal inference in degenerate systems: An impossibility result AISTATS 2020
Bayesian network structure learning with causal effects in the presence of latent variables PGM 2020
Learning and Sampling of Atomic Interventions from Observations ICML 2020
A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments AAAI 2020
A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020
General Transportability – Synthesizing Observations and Experiments from Heterogeneous Domains AAAI 2020
Cost-effectively Identifying Causal Effects When Only Response Variable is Observable ICML 2020
Local Causal Network Learning for Finding Pairs of Total and Direct Effects JMLR 2020
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables JMLR 2020
Ivy: Instrumental Variable Synthesis for Causal Inference AISTATS 2020