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Papers
Conditional Average Treatment Effect Estimation Under Hidden Confounders
UAI 2025
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
AAAI 2025
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification
CVPR 2024
Confounded Budgeted Causal Bandits
CLeaR 2024
Identifiability Analysis of Linear ODE Systems with Hidden Confounders
NeurIPS 2024
Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition
UAI 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
AAAI 2023
Partial identification of dose responses with hidden confounders
UAI 2023
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
ICML 2020
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
NeurIPS 2019
Detecting non-causal artifacts in multivariate linear regression models
ICML 2018