Search Results for author: Lexin Li

Found 12 papers, 2 papers with code

Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach

no code implementations26 Oct 2022 Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li

In this article, we propose a novel pessimism-based Bayesian learning method for optimal dynamic treatment regimes in the offline setting.

Thompson Sampling Variational Inference

Post-Regularization Confidence Bands for Ordinary Differential Equations

no code implementations24 Oct 2021 Xiaowu Dai, Lexin Li

In this article, we construct post-regularization confidence band for individual regulatory function in ODE with unknown functionals and noisy data observations.

Nonparametric Trace Regression in High Dimensions via Sign Series Representation

no code implementations4 May 2021 Chanwoo Lee, Lexin Li, Hao Helen Zhang, Miaoyan Wang

Trace regression is a widely used method to model effects of matrix predictors and has shown great success in matrix learning.

Matrix Completion Multi-Task Learning +1

Image Response Regression via Deep Neural Networks

no code implementations17 Jun 2020 Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang

Delineating the associations between images and a vector of covariates is of central interest in medical imaging studies.

Association regression

Double Generative Adversarial Networks for Conditional Independence Testing

1 code implementation3 Jun 2020 Chengchun Shi, Tianlin Xu, Wicher Bergsma, Lexin Li

In this article, we study the problem of high-dimensional conditional independence testing, a key building block in statistics and machine learning.

Partially Observed Dynamic Tensor Response Regression

no code implementations22 Feb 2020 Jie Zhou, Will Wei Sun, Jingfei Zhang, Lexin Li

In this article, we develop a regression model with partially observed dynamic tensor as the response and external covariates as the predictor.


Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks

no code implementations11 Jun 2019 Qingyang Wu, He Li, Lexin Li, Zhou Yu

With the widespread success of deep neural networks in science and technology, it is becoming increasingly important to quantify the uncertainty of the predictions produced by deep learning.

Classification General Classification +1

Dynamic Tensor Clustering

no code implementations24 Aug 2017 Will Wei Sun, Lexin Li

Existing tensor clustering methods either fail to account for the dynamic nature of the data, or are inapplicable to a general-order tensor.

Dimensionality Reduction

STORE: Sparse Tensor Response Regression and Neuroimaging Analysis

no code implementations15 Sep 2016 Will Wei Sun, Lexin Li

Motivated by applications in neuroimaging analysis, we propose a new regression model, Sparse TensOr REsponse regression (STORE), with a tensor response and a vector predictor.


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