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Papers
Stochastic Causal Programming for Bounding Treatment Effects
CLeaR 2023
Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding
AISTATS 2022
Partial Identification of Treatment Effects with Implicit Generative Models
NeurIPS 2022
Partial Identification with Noisy Covariates: A Robust Optimization Approach
CLeaR 2022
Partial Identifiability in Discrete Data with Measurement Error
UAI 2021
A Class of Algorithms for General Instrumental Variable Models
NeurIPS 2020
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds
NeurIPS 2019
PIDForest: Anomaly Detection via Partial Identification
NeurIPS 2019