Tianxi Li | DeepAI

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Lav R. Varshney
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Haifeng Xu
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Elizaveta Levina
34 publications
Ji Zhu
32 publications
Cheng Qian
28 publications
Zhe Feng
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Purnamrita Sarkar
25 publications
Peter J. Bickel
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Jie Cheng
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Sharmodeep Bhattacharyya
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Ashwinkumar Badanidiyuru
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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...

0 Angus Chan, et al. ∙

∙ 11/16/2022

The non-overlapping statistical approximation to overlapping group lasso

Group lasso is a commonly used regularization method in statistical lear...

0 Mingyu Qi, et al. ∙

∙ 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...

0 Ashwinkumar Badanidiyuru, et al. ∙

∙ 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...

0 Tianxi Li, et al. ∙

∙ 06/09/2021

Diffusion Source Identification on Networks with Statistical Confidence

Diffusion source identification on networks is a problem of fundamental ...

0 Quinlan Dawkins, et al. ∙

∙ 06/05/2021

Network Estimation by Mixing: Adaptivity and More

Networks analysis has been commonly used to study the interactions betwe...

0 Tianxi Li, et al. ∙

∙ 01/16/2021

Informative core identification in complex networks

In network analysis, the core structure of modeling interest is usually ...

2 Ruizhong Miao, et al. ∙

∙ 08/09/2020

Community models for partially observed networks from surveys

Communities are a common and widely studied structure in networks, typic...

7 Tianxi Li, et al. ∙

∙ 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 ...

0 Can M. Le, et al. ∙

∙ 07/04/2019

High-dimensional Gaussian graphical model for network-linked data

Graphical models are commonly used to represent conditional dependence r...

6 Tianxi Li, et al. ∙

∙ 10/02/2018

Hierarchical community detection by recursive bi-partitioning

The problem of community detection in networks is usually formulated as ...

8 Tianxi Li, et al. ∙

∙ 09/06/2017

Probabilistic Rule Realization and Selection

Abstraction and realization are bilateral processes that are key in deri...

0 Haizi Yu, et al. ∙

∙ 05/10/2016

A note on the statistical view of matrix completion

A very simple interpretation of matrix completion problem is introduced ...

0 Tianxi Li, et al. ∙

∙ 04/09/2013

High-dimensional Mixed Graphical Models

While graphical models for continuous data (Gaussian graphical models) a...

0 Jie Cheng, et al. ∙

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