conftrace_

potential outcome

24 papers

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Also known as

PO

Co-occurring keywords

causal inference (1630) treatment effect (134) heterogeneous treatment effect (50) covariate information (4) treatment effect estimation (72) asymptotic normality (66) causal effect (107) observational study (38) statistical estimation (108) competing event (1)

Papers

Mitigating Causal Bias in LLMs via Potential Outcomes Framework and Actual Causality Theory EACL 2026
Potential Outcome Rankings for Counterfactual Decision Making AAAI 2026
Uplift Modeling with Delayed Feedback: Identifiability and Algorithms AAAI 2026
A Causal Target for Learning to Defer Under Hidden Confounding AAAI 2026
DiffPO: A causal diffusion model for learning distributions of potential outcomes NIPS 2024
Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies AAAI 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data AISTATS 2023
Normalizing Flows for Interventional Density Estimation ICML 2023
Causal Matrix Completion COLT 2023
Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance AAAI 2023
Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information AAAI 2023
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions NIPS 2023
Counterfactuals for the Future AAAI 2023
Bayesian federated estimation of causal effects from observational data UAI 2022
Info Intervention and its Causal Calculus CLEAR 2022
Instrumental Variable-based Identification for Causal Effects using Covariate Information AAAI 2021
On Inductive Biases for Heterogeneous Treatment Effect Estimation NIPS 2021
Estimating Multi-cause Treatment Effects via Single-cause Perturbation NIPS 2021
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NIPS 2021
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract) AAAI 2020
Estimation of Bounds on Potential Outcomes For Decision Making ICML 2020
Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects AISTATS 2019
Estimation of Causal Peer Influence Effects ICML 2013