99 citations · 316 across the 43 of their papers we have counts for
43 papers
Prediction-powered Inference by Mixture of Experts
Yanwu Gu, Linglong Kong, Dong Xia
The rapidly expanding artificial intelligence (AI) industry has produced diverse yet powerful prediction tools, each with its own network architecture, training strategy, data-proc…
High-dimensional outlier detection and variable selection via adaptive weighted mean regression
Jiaqi Li, Linglong Kong, Bei Jiang +1
This paper proposes an adaptive penalized weighted mean regression for outlier detection of high-dimensional data. In comparison to existing approaches based on the mean shift mode…
Online Local Differential Private Quantile Inference via Self-normalization
Yi Liu, Qirui Hu, Lei Ding +2
Based on binary inquiries, we developed an algorithm to estimate population quantiles under Local Differential Privacy (LDP). By self-normalizing, our algorithm provides asymptotic…
Mathematical Challenges in Deep Learning
Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev +8
Deep models are dominating the artificial intelligence (AI) industry since the ImageNet challenge in 2012. The size of deep models is increasing ever since, which brings new challe…
Scalable inference in functional linear regression with streaming data
Jinhan Xie, Enze Shi, Peijun Sang +3
Traditional static functional data analysis is facing new challenges due to streaming data, where data constantly flow in. A major challenge is that storing such an ever-increasing…
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy
Yi Liu, Ke Sun, Linglong Kong +1
Gaussian differential privacy (GDP) is a single-parameter family of privacy notions that provides coherent guarantees to avoid the exposure of sensitive individual information. Des…