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Papers
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference
AISTATS 2022
On the Assumptions of Synthetic Control Methods
AISTATS 2022
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
IJCAI 2022
Partially adaptive regularized multiple regression analysis for estimating linear causal effects
UAI 2022
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions
NeurIPS 2022
Unsupervised Editing for Counterfactual Stories
AAAI 2022
Weak Separation in Mixture Models and Implications for Principal Stratification
AISTATS 2022
A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models
NeurIPS 2021
A Survey of Online Hate Speech through the Causal Lens
EMNLP 2021
Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions
AISTATS 2021
Efficient Online Estimation of Causal Effects by Deciding What to Observe
NeurIPS 2021
Estimating Identifiable Causal Effects through Double Machine Learning
AAAI 2021
Learning Adjustment Sets from Observational and Limited Experimental Data
AAAI 2021
Multi-Cause Effect Estimation with Disentangled Confounder Representation
IJCAI 2021
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
NeurIPS 2021
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
ICML 2021
Uplift Modeling with High Class Imbalance
ACML 2021
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models
AAAI 2020
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
ICML 2020
Causal Estimation with Functional Confounders
NeurIPS 2020
Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation
IJCAI 2020
Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models
JMLR 2020
Estimating Causal Effects Using Weighting-Based Estimators
AAAI 2020
General Control Functions for Causal Effect Estimation from IVs
NeurIPS 2020
IDA with Background Knowledge
UAI 2020