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09/01/2023
Consistency of Lloyd's Algorithm Under Perturbations
In the context of unsupervised learning, Lloyd's algorithm is one of the...
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01/29/2023
Asymptotic Inference for Multi-Stage Stationary Treatment Policy with High Dimensional Features
Dynamic treatment rules or policies are a sequence of decision functions...
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10/18/2022
Edge-based Monocular Thermal-Inertial Odometry in Visually Degraded Environments
State estimation in complex illumination environments based on conventio...
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09/26/2022
Joint and Individual Component Regression
Multi-group data are commonly seen in practice. Such data structure cons...
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08/25/2022
Tucker-L_2E: Robust Low-rank Tensor Decomposition with the L_2 Criterion
The growing prevalence of tensor data, or multiway arrays, in science an...
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07/23/2022
Change Point Detection for High-dimensional Linear Models: A General Tail-adaptive Approach
We study the change point detection problem for high-dimensional linear ...
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07/09/2022
Digital Twin Assisted Task Offloading for Aerial Edge Computing and Networks
Considering the user mobility and unpredictable mobile edge computing (M...
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10/17/2021
Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules
We thank the opportunity offered by editors for this discussion and the ...
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09/06/2021
Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecified Treatment-Free Effect Models
Recent development in data-driven decision science has seen great advanc...
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05/08/2021
Improving Robustness for Pose Estimation via Stable Heatmap Regression
Deep learning methods have achieved excellent performance in pose estima...
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03/10/2021
Regressive Domain Adaptation for Unsupervised Keypoint Detection
Domain adaptation (DA) aims at transferring knowledge from a labeled sou...
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03/04/2021
Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration
Recent years have witnessed significant progress in 3D hand mesh recover...
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07/22/2020
Angle-based hierarchical classification using exact label embedding
Hierarchical classification problems are commonly seen in practice. Howe...
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06/26/2020
Learning Optimal Distributionally Robust Individualized Treatment Rules
Recent development in the data-driven decision science has seen great ad...
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12/13/2019
High dimensional precision medicine from patient-derived xenografts
The complexity of human cancer often results in significant heterogeneit...
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10/06/2019
Statistical Analysis of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization
This paper has two main goals: (a) establish several statistical propert...
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09/11/2019
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB
Insufficient labeled training datasets is one of the bottlenecks of 3D h...
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08/27/2019
Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes
Recent exploration of optimal individualized decision rules (IDRs) for p...
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03/11/2019
Estimating Individualized Decision Rules with Tail Controls
With the emergence of precision medicine, estimating optimal individuali...
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02/08/2019
Penalized linear regression with high-dimensional pairwise screening
In variable selection, most existing screening methods focus on marginal...
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01/20/2017
Stability Enhanced Large-Margin Classifier Selection
Stability is an important aspect of a classification procedure because u...
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08/30/2016
Joint Estimation of Multiple Dependent Gaussian Graphical Models with Applications to Mouse Genomics
Gaussian graphical models are widely used to represent conditional depen...
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11/19/2014
