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12/28/2022
Distribution Estimation of Contaminated Data via DNN-based MoM-GANs
This paper studies the distribution estimation of contaminated data by t...
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05/09/2022
Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks
Since statistical guarantees for neural networks are usually restricted ...
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05/30/2020
Statistical Guarantees for Regularized Neural Networks
Neural networks have become standard tools in the analysis of data, but ...
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02/27/2020
Tuning-free ridge estimators for high-dimensional generalized linear models
Ridge estimators regularize the squared Euclidean lengths of parameters....
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02/18/2020
Consistency of ℓ _1 Penalized Negative Binomial Regressions
We prove the consistency of the ℓ_1 penalized negative binomial regressi...
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02/18/2020
Estimating the Penalty Level of ℓ_1-minimization via Two Gaussian Approximation Methods
In this paper, we aim to give a theoretical approximation for the penalt...
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07/08/2019
Aggregated False Discovery Rate Control
We propose an aggregation scheme for methods that control the false disc...
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10/08/2018
Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning
Person-Job Fit is the process of matching the right talent for the right...
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12/08/2017
