conftrace_

observational study

38 papers

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Also known as

OS

Co-occurring keywords

causal inference (1630) treatment effect (134) causal effect (107) propensity score (47) randomized controlled trial (23) confounding adjustment (12) heterogeneous treatment effect (50) observational studies (4) bayesian inference (1907) causal graph (140)

Papers

Detecting Unobserved Confounders: A Kernelized Regression Approach AAAI 2026
Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service NAACL 2025
Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables EMNLP 2025
Fast Proxy Experiment Design for Causal Effect Identification NIPS 2024
Benchmarking Observational Studies with Experimental Data under Right-Censoring AISTATS 2024
Estimating the Causal Effect of Early ArXiving on Paper Acceptance CLEAR 2024
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation AISTATS 2024
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach AAAI 2024
Auditing Fairness under Unobserved Confounding AISTATS 2024
Generalizing Clinical Trials with Convex Hulls CLEAR 2023
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions AISTATS 2023
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023
Causal Inference from Text: Unveiling Interactions between Variables EMNLP 2023
Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies AAAI 2023
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments NIPS 2023
Obtaining Causal Information by Merging Datasets with MAXENT AISTATS 2022
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality ICML 2022
Integrative $R$-learner of heterogeneous treatment effects combining experimental and observational studies CLEAR 2022
Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores JMLR 2022
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction NIPS 2022
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment NIPS 2022
Calibration Error for Heterogeneous Treatment Effects AISTATS 2022
Validating Causal Inference Methods ICML 2022
Nested Counterfactual Identification from Arbitrary Surrogate Experiments NIPS 2021
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NIPS 2021