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08/06/2023
Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning
Recent studies of two-view correspondence learning usually establish an ...
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04/03/2023
The synthetic instrument: From sparse association to sparse causation
In many observational studies, researchers are often interested in study...
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03/17/2023
Scribble-Supervised RGB-T Salient Object Detection
Salient object detection segments attractive objects in scenes. RGB and ...
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10/24/2022
Rejoinder to discussions on "Instrumental variable estimation of the causal hazard ratio"
We respond to comments on our paper, titled "Instrumental variable estim...
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10/11/2022
On the homogeneity of measures for binary associations
Applied researchers often claim that the risk difference is more heterog...
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03/17/2022
Fighting Noise with Noise: Causal Inference with Many Candidate Instruments
Instrumental variable methods provide useful tools for inferring causal ...
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02/10/2022
Adaptively Exploiting d-Separators with Causal Bandits
Multi-armed bandit problems provide a framework to identify the optimal ...
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10/06/2021
Inverse Probability Weighting-based Mediation Analysis for Microbiome Data
Mediation analysis is an important tool to study casual associations in ...
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08/18/2021
Weak signal identification and inference in penalized likelihood models for categorical responses
Penalized likelihood models are widely used to simultaneously select var...
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07/02/2021
Homogeneity in the instrument-treatment association is not sufficient for the Wald estimand to equal the average causal effect when the exposure is continuous
Background: Interpreting results of instrumental variable (IV) analysis ...
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01/05/2021
Causal Inference on Non-linear Spaces: Distribution Functions and Beyond
Understanding causal relationships is one of the most important goals of...
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12/10/2020
The Promises of Parallel Outcomes
Unobserved confounding presents a major threat to the validity of causal...
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10/22/2020
In Search of Robust Measures of Generalization
One of the principal scientific challenges in deep learning is explainin...
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07/28/2020
Estimation of local treatment under the binary instrumental variable model
Instrumental variables are widely used to deal with unmeasured confoundi...
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07/28/2020
Outcome model free causal inference with ultra-high dimensional covariates
Causal inference has been increasingly reliant on observational studies ...
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07/09/2020
Beyond Scalar Treatment: A Causal Analysis of Hippocampal Atrophy on Behavioral Deficits in Alzheimer's Studies
Alzheimer's disease is a progressive form of dementia that results in pr...
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06/01/2020
Conditional Independence Beyond Domain Separability: Discussion of Engelke and Hitz (2020)
We congratulate Engelke and Hitz on a thought-provoking paper on graphic...
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07/31/2019
Multi-cause causal inference with unmeasured confounding and binary outcome
Unobserved confounding presents a major threat to causal inference in ob...
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06/03/2019
Multiplicative Effect Modeling: The General Case
Generalized linear models, such as logistic regression, are widely used ...
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07/14/2018
Learning Causal Hazard Ratio with Endogeneity
Cox's proportional hazards model is one of the most popular statistical ...
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11/13/2017
On the boundary between qualitative and quantitative methods for causal inference
We consider how to quantify the causal effect from a random variable to ...
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03/06/2017
