Will Wei Sun | DeepAI

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Featured Co-authors

Jie Zhou
349 publications
Jian Yang
171 publications
Zhaoran Wang
121 publications
Han Liu
114 publications
Zhuoran Yang
110 publications
Guang Cheng
70 publications
Zheng Wen
50 publications
Yichen Zhang
32 publications
Lexin Li
30 publications
Junwei Lu
25 publications
Yufeng Liu
23 publications

∙ 07/08/2023

Contextual Dynamic Pricing with Strategic Buyers

Personalized pricing, which involves tailoring prices based on individua...

0 Pangpang Liu, et al. ∙

∙ 05/17/2023

Utility Theory of Synthetic Data Generation

Evaluating the utility of synthetic data is critical for measuring the e...

0 Shirong Xu, et al. ∙

∙ 01/02/2023

Ranking Differential Privacy

Rankings are widely collected in various real-life scenarios, leading to...

0 Shirong Xu, et al. ∙

∙ 12/21/2022

Online Statistical Inference for Matrix Contextual Bandit

Contextual bandit has been widely used for sequential decision-making ba...

0 Qiyu Han, et al. ∙

∙ 05/07/2022

Rate-Optimal Contextual Online Matching Bandit

Two-sided online matching platforms have been employed in various market...

1 Yuantong Li, et al. ∙

∙ 09/15/2021

Distribution-free Contextual Dynamic Pricing

Contextual dynamic pricing aims to set personalized prices based on sequ...

0 Yiyun Luo, et al. ∙

∙ 08/08/2021

Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning

The recent emergence of reinforcement learning has created a demand for ...

5 Pratik Ramprasad, et al. ∙

∙ 04/15/2021

Heterogeneous Tensor Mixture Models in High Dimensions

We consider the problem of jointly modeling and clustering populations o...

0 Biao Cai, et al. ∙

∙ 03/11/2021

Covariate-assisted Sparse Tensor Completion

We aim to provably complete a sparse and highly-missing tensor in the pr...

0 Hilda S Ibriga, et al. ∙

∙ 07/31/2020

Low-rank Tensor Bandits

In recent years, multi-dimensional online decision making has been playi...

4 Botao Hao, et al. ∙

∙ 07/05/2020

Online Regularization for High-Dimensional Dynamic Pricing Algorithms

We propose a novel online regularization scheme for revenue-maximization...

0 Chi-Hua Wang, et al. ∙

∙ 02/22/2020

Partially Observed Dynamic Tensor Response Regression

In modern data science, dynamic tensor data is prevailing in numerous ap...

0 Jie Zhou, et al. ∙

∙ 03/31/2019

Sparse Tensor Additive Regression

Tensors are becoming prevalent in modern applications such as medical im...

0 Botao Hao, et al. ∙

∙ 10/07/2018

Network Response Regression for Modeling Population of Networks with Covariates

Multiple-network data are fast emerging in recent years, where a separat...

0 Jingfei Zhang, et al. ∙

∙ 06/11/2018

Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis

Time-varying networks are fast emerging in a wide range of scientific an...

0 Jingfei Zhang, et al. ∙

∙ 03/17/2018

Provable Convex Co-clustering of Tensors

Cluster analysis is a fundamental tool for pattern discovery of complex ...

0 Eric C. Chi, et al. ∙

∙ 08/24/2017

Dynamic Tensor Clustering

Dynamic tensor data are becoming prevalent in numerous applications. Exi...

0 Will Wei Sun, et al. ∙

∙ 01/20/2017

Stability Enhanced Large-Margin Classifier Selection

Stability is an important aspect of a classification procedure because u...

0 Will Wei Sun, et al. ∙

∙ 09/15/2016

STORE: Sparse Tensor Response Regression and Neuroimaging Analysis

Motivated by applications in neuroimaging analysis, we propose a new reg...

0 Will Wei Sun, et al. ∙

∙ 09/15/2016

Sparse Tensor Graphical Model: Non-convex Optimization and Statistical Inference

We consider the estimation and inference of sparse graphical models that...

0 Will Wei Sun, et al. ∙

∙ 01/18/2016

Sparse Convex Clustering

Convex clustering, a convex relaxation of k-means clustering and hierarc...

0 Binhuan Wang, et al. ∙

∙ 02/05/2015

Provable Sparse Tensor Decomposition

We propose a novel sparse tensor decomposition method, namely Tensor Tru...

0 Will Wei Sun, et al. ∙

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