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05/29/2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
Textual adversarial attacks can discover models' weaknesses by adding se...
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05/26/2023
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
Large language models (LLMs) have recently shown great potential for in-...
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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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03/22/2023
Learning Brain Connectivity in Social Cognition with Dynamic Network Regression
Dynamic networks have been increasingly used to characterize brain conne...
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08/01/2022
Towards R-learner of conditional average treatment effects with a continuous treatment: T-identification, estimation, and inference
The R-learner has been popular in causal inference as a flexible and eff...
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03/28/2022
Functional principal component analysis for longitudinal observations with sampling at random
Functional principal component analysis has been shown to be invaluable ...
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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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03/22/2021
Supervised Principal Component Regression for Functional Response with High Dimensional Predictors
We propose a supervised principal component regression method for relati...
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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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10/08/2020
Multivariate functional responses low rank regression with an application to brain imaging data
We propose a multivariate functional responses low rank regression model...
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09/23/2020
Stochastic Generalized Lotka-Volterra Model with An Application to Learning Microbial Community Structures
Inferring microbial community structure based on temporal metagenomics d...
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09/21/2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Deep Learning-based computational pathology algorithms have demonstrated...
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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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04/11/2020
Covariance Estimation for Matrix-valued Data
Covariance estimation for matrix-valued data has received an increasing ...
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10/07/2019
Nonparametric principal subspace regression
In scientific applications, multivariate observations often come in tand...
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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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07/08/2019
Modeling Symmetric Positive Definite Matrices with An Application to Functional Brain Connectivity
In neuroscience, functional brain connectivity describes the connectivit...
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03/31/2019
Nonparametric Matrix Response Regression with Application to Brain Imaging Data Analysis
With the rapid growth of neuroimaging technologies, a great effort has b...
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09/24/2018