Fan, Jianqing

19 publications

ICLR 2025 Benign Overfitting in Out-of-Distribution Generalization of Linear Models Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin
NeurIPSW 2024 Benign Overfitting in Out-of-Distribution Generalization of Linear Models Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin
NeurIPS 2024 Global Convergence in Training Large-Scale Transformers Cheng Gao, Yuan Cao, Zihao Li, Yihan He, Mengdi Wang, Han Liu, Jason M. Klusowski, Jianqing Fan
ICLR 2024 Maximum Likelihood Estimation Is All You Need for Well-Specified Covariate Shift Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
COLT 2024 Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan
ICLR 2024 On the Provable Advantage of Unsupervised Pretraining Jiawei Ge, Shange Tang, Jianqing Fan, Chi Jin
NeurIPS 2024 One-Layer Transformer Provably Learns One-Nearest Neighbor in Context Zihao Li, Yuan Cao, Cheng Gao, Yihan He, Han Liu, Jason M. Klusowski, Jianqing Fan, Mengdi Wang
NeurIPS 2024 Optimal Aggregation of Prediction Intervals Under Unsupervised Domain Shift Jiawei Ge, Debarghya Mukherjee, Jianqing Fan
JMLR 2024 Uncertainty Quantification of MLE for Entity Ranking with Covariates Jianqing Fan, Jikai Hou, Mengxin Yu
NeurIPSW 2023 Maximum Likelihood Estimation Is All You Need for Well-Specified Covariate Shift Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
NeurIPS 2021 Curriculum Learning for Vision-and-Language Navigation Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng
JMLR 2021 Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning Jianqing Fan, Bai Jiang, Qiang Sun
NeurIPS 2021 Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model Bingyan Wang, Yuling Yan, Jianqing Fan
FnTML 2021 Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
L4DC 2020 A Theoretical Analysis of Deep Q-Learning Jianqing Fan, Zhaoran Wang, Yuchen Xie, Zhuoran Yang
AISTATS 2018 Statistical Sparse Online Regression: A Diffusion Approximation Perspective Jianqing Fan, Wenyan Gong, Chris Junchi Li, Qiang Sun
JMLR 2016 Guarding Against Spurious Discoveries in High Dimensions Jianqing Fan, Wen-Xin Zhou
JMLR 2013 Distributions of Angles in Random Packing on Spheres Tony Cai, Jianqing Fan, Tiefeng Jiang
JMLR 2009 Ultrahigh Dimensional Feature Selection: Beyond the Linear Model Jianqing Fan, Richard Samworth, Yichao Wu