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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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02/20/2023
Transductive Matrix Completion with Calibration for Multi-Task Learning
Multi-task learning has attracted much attention due to growing multi-pu...
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09/28/2022
Nonparametric augmented probability weighting with sparsity
Nonresponse frequently arises in practice, and simply ignoring it may le...
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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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04/20/2022
Functional Calibration under Non-Probability Survey Sampling
Non-probability sampling is prevailing in survey sampling, but ignoring ...
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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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01/18/2022
Nonparametric Feature Selection by Random Forests and Deep Neural Networks
Random forests are a widely used machine learning algorithm, but their c...
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10/02/2021
One-Bit Matrix Completion with Differential Privacy
Matrix completion is a prevailing collaborative filtering method for rec...
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10/01/2021
Applying Differential Privacy to Tensor Completion
Tensor completion aims at filling the missing or unobserved entries base...
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10/01/2021
SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System
Recently, textual information has been proved to play a positive role in...
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06/09/2021
Matrix Completion with Model-free Weighting
In this paper, we propose a novel method for matrix completion under gen...
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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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12/03/2020
Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy
We consider the problem of discrete distribution estimation under locall...
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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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07/26/2019
Adjusting for Spatial Effects in Genomic Prediction
This paper investigates the problem of adjusting for spatial effects in ...
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07/19/2019
Matrix Completion for Survey Data Prediction with Multivariate Missingness
Survey data are the gold-standard for estimating finite population param...
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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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12/19/2018
