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03/09/2023
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
The statistical modeling of random networks has been widely used to unco...
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11/16/2022
The non-overlapping statistical approximation to overlapping group lasso
Group lasso is a commonly used regularization method in statistical lear...
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06/02/2022
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards
Incrementality, which is used to measure the causal effect of showing an...
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11/05/2021
Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules
Differential co-expression analysis has been widely applied by scientist...
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06/09/2021
Diffusion Source Identification on Networks with Statistical Confidence
Diffusion source identification on networks is a problem of fundamental ...
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06/05/2021
Network Estimation by Mixing: Adaptivity and More
Networks analysis has been commonly used to study the interactions betwe...
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01/16/2021
Informative core identification in complex networks
In network analysis, the core structure of modeling interest is usually ...
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08/09/2020
Community models for partially observed networks from surveys
Communities are a common and widely studied structure in networks, typic...
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07/01/2020
Linear regression and its inference on noisy network-linked data
Linear regression on a set of observations linked by a network has been ...
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07/04/2019
High-dimensional Gaussian graphical model for network-linked data
Graphical models are commonly used to represent conditional dependence r...
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10/02/2018
Hierarchical community detection by recursive bi-partitioning
The problem of community detection in networks is usually formulated as ...
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09/06/2017
Probabilistic Rule Realization and Selection
Abstraction and realization are bilateral processes that are key in deri...
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05/10/2016
A note on the statistical view of matrix completion
A very simple interpretation of matrix completion problem is introduced ...
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04/09/2013