activity
20042023
most citedChallenges of Big Data Analysis

1.5k citations · 7.9k across the 139 of their papers we have counts for

collaborators

145 papers

math.ST2023

Inferences on Mixing Probabilities and Ranking in Mixed-Membership Models

Sohom Bhattacharya, Jianqing Fan, Jikai Hou

Network data is prevalent in numerous big data applications including economics and health networks where it is of prime importance to understand the latent structure of network. I…

stat.ME2023★ 3 cited

Spectral Ranking Inferences based on General Multiway Comparisons

Jianqing Fan, Zhipeng Lou, Weichen Wang +1

This paper studies the performance of the spectral method in the estimation and uncertainty quantification of the unobserved preference scores of compared entities in a general and…

stat.ME2023

UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation

Jianqing Fan, Jiawei Ge, Debarghya Mukherjee

Uncertainty quantification in prediction presents a compelling challenge with vast applications across various domains, including biomedical science, economics, and weather forecas…

math.ST2023★ 2 cited

Isotonic Mechanism for Exponential Family Estimation in Machine Learning Peer Review

Yuling Yan, Weijie J. Su, Jianqing Fan

In 2023, the International Conference on Machine Learning (ICML) required authors with multiple submissions to rank their submissions based on perceived quality. In this paper, we…

stat.ML2023★ 3 cited

On the Provable Advantage of Unsupervised Pretraining

Jiawei Ge, Shange Tang, Jianqing Fan +1

Unsupervised pretraining, which learns a useful representation using a large amount of unlabeled data to facilitate the learning of downstream tasks, is a critical component of mod…

math.ST2023★ 5 cited

Environment Invariant Linear Least Squares

Jianqing Fan, Cong Fang, Yihong Gu +1

This paper considers a multi-environment linear regression model in which data from multiple experimental settings are collected. The joint distribution of the response variable an…