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Papers
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
CVPR 2022
Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores
JMLR 2022
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
JMLR 2022
Estimation of Local Average Treatment Effect by Data Combination
AAAI 2022
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
WACV 2022
Exploiting Independent Instruments: Identification and Distribution Generalization
ICML 2022
Exploring the Latent Space of Autoencoders with Interventional Assays
NeurIPS 2022
Factored Adaptation for Non-Stationary Reinforcement Learning
NeurIPS 2022
Fairness without the Sensitive Attribute via Causal Variational Autoencoder
IJCAI 2022
Falsification before Extrapolation in Causal Effect Estimation
NeurIPS 2022
Feature selection for discovering distributional treatment effect modifiers
UAI 2022
Finding and Listing Front-door Adjustment Sets
NeurIPS 2022
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge
AISTATS 2022
From Actions to Programs as Abstract Actual Causes
AAAI 2022
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation
ICLR 2022
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
ICML 2022
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL
AISTATS 2022
Generalization Bounds for Estimating Causal Effects of Continuous Treatments
NeurIPS 2022
Generative multitask learning mitigates target-causing confounding
NeurIPS 2022
Graphical Representations for Algebraic Constraints of Linear Structural Equations Models
PGM 2022
Handling Distribution Shifts on Graphs: An Invariance Perspective
ICLR 2022
Heterogeneous Peer Effects in the Linear Threshold Model
AAAI 2022
Identifiability of Linear AMP Chain Graph Models
AAAI 2022
Identification in Tree-shaped Linear Structural Causal Models
AISTATS 2022
Identification of Linear Latent Variable Model with Arbitrary Distribution
AAAI 2022