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06/17/2023
Distributed Semi-Supervised Sparse Statistical Inference
This paper is devoted to studying the semi-supervised sparse statistical...
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05/28/2023
Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality
Stochastic gradient descent with momentum (SGDM) has been widely used in...
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04/13/2023
A review of distributed statistical inference
The rapid emergence of massive datasets in various fields poses a seriou...
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03/26/2023
General Tasks and Extension-Based Proofs
The concept of extension-based proofs models the idea of a valency argum...
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10/15/2022
Distributed Estimation and Inference for Semi-parametric Binary Response Models
The development of modern technology has enabled data collection of unpr...
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09/08/2022
Majority Vote for Distributed Differentially Private Sign Selection
Privacy-preserving data analysis has become prevailing in recent years. ...
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02/11/2022
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach
Decentralized sparsity learning has attracted a significant amount of at...
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07/07/2021
High dimensional precision matrix estimation under weak sparsity
In this paper, we estimate the high dimensional precision matrix under t...
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06/16/2021
Structured DropConnect for Uncertainty Inference in Image Classification
With the complexity of the network structure, uncertainty inference has ...
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03/04/2021
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference
This paper develops an efficient distributed inference algorithm, which ...
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07/04/2020
Neural Interactive Collaborative Filtering
In this paper, we study collaborative filtering in an interactive settin...
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06/18/2020
Median Matrix Completion: from Embarrassment to Optimality
In this paper, we consider matrix completion with absolute deviation los...
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06/13/2019
Distributed High-dimensional Regression Under a Quantile Loss Function
This paper studies distributed estimation and support recovery for high-...
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02/13/2019
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems
Recommender systems play a crucial role in our daily lives. Feed streami...
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01/16/2019
Attention-aware Multi-stroke Style Transfer
Neural style transfer has drawn considerable attention from both academi...
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11/29/2018
Distributed Inference for Linear Support Vector Machine
The growing size of modern data brings many new challenges to existing s...
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11/28/2018
First-order Newton-type Estimator for Distributed Estimation and Inference
This paper studies distributed estimation and inference for a general st...
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10/26/2018
Spectral Analysis of High-dimensional Time Series
A useful approach for analysing multiple time series is via characterisi...
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10/18/2018
Quantile Regression Under Memory Constraint
This paper studies the inference problem in quantile regression (QR) for...
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12/08/2017
False Discovery Control for Pairwise Comparisons - An Asymptotic Solution to Williams, Jones and Tukey's Conjecture
Under weak moment and asymptotic conditions, we offer an affirmative ans...
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03/17/2012