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Papers
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data
AISTATS 2023
Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies
AAAI 2023
Bayesian federated estimation of causal effects from observational data
UAI 2022
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects
JMLR 2022
Info Intervention and its Causal Calculus
CLeaR 2022
Estimating Multi-cause Treatment Effects via Single-cause Perturbation
NeurIPS 2021
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information
NeurIPS 2021
Instrumental Variable-based Identification for Causal Effects using Covariate Information
AAAI 2021
On Inductive Biases for Heterogeneous Treatment Effect Estimation
NeurIPS 2021
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract)
AAAI 2020
Estimation of Bounds on Potential Outcomes For Decision Making
ICML 2020
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects
AISTATS 2019
Interpretable Almost-Exact Matching for Causal Inference
AISTATS 2019
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets
ICLR 2018
Estimation of Causal Peer Influence Effects
ICML 2013