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07/08/2023
Contextual Dynamic Pricing with Strategic Buyers
Personalized pricing, which involves tailoring prices based on individua...
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05/17/2023
Utility Theory of Synthetic Data Generation
Evaluating the utility of synthetic data is critical for measuring the e...
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01/02/2023
Ranking Differential Privacy
Rankings are widely collected in various real-life scenarios, leading to...
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12/21/2022
Online Statistical Inference for Matrix Contextual Bandit
Contextual bandit has been widely used for sequential decision-making ba...
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05/07/2022
Rate-Optimal Contextual Online Matching Bandit
Two-sided online matching platforms have been employed in various market...
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09/15/2021
Distribution-free Contextual Dynamic Pricing
Contextual dynamic pricing aims to set personalized prices based on sequ...
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08/08/2021
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning
The recent emergence of reinforcement learning has created a demand for ...
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04/15/2021
Heterogeneous Tensor Mixture Models in High Dimensions
We consider the problem of jointly modeling and clustering populations o...
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03/11/2021
Covariate-assisted Sparse Tensor Completion
We aim to provably complete a sparse and highly-missing tensor in the pr...
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07/31/2020
Low-rank Tensor Bandits
In recent years, multi-dimensional online decision making has been playi...
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07/05/2020
Online Regularization for High-Dimensional Dynamic Pricing Algorithms
We propose a novel online regularization scheme for revenue-maximization...
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02/22/2020
Partially Observed Dynamic Tensor Response Regression
In modern data science, dynamic tensor data is prevailing in numerous ap...
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03/31/2019
Sparse Tensor Additive Regression
Tensors are becoming prevalent in modern applications such as medical im...
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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...
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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...
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03/17/2018
Provable Convex Co-clustering of Tensors
Cluster analysis is a fundamental tool for pattern discovery of complex ...
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08/24/2017
Dynamic Tensor Clustering
Dynamic tensor data are becoming prevalent in numerous applications. Exi...
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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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09/15/2016
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis
Motivated by applications in neuroimaging analysis, we propose a new reg...
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09/15/2016
Sparse Tensor Graphical Model: Non-convex Optimization and Statistical Inference
We consider the estimation and inference of sparse graphical models that...
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01/18/2016
Sparse Convex Clustering
Convex clustering, a convex relaxation of k-means clustering and hierarc...
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02/05/2015