Jianqing Fan

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 61

Top Topics

Reinforcement Learning

Convex Optimization

Global Convergence

Top Venues

J. Mach. Learn. Res.

Publications

Jiawei Ge, Shange Tang, Jianqing Fan, Chi Jin
On the Provable Advantage of Unsupervised Pretraining. ICLR (2024)
Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan
Minimax-optimal reward-agnostic exploration in reinforcement learning. COLT (2024)
Yihong Gu, Cong Fang, Peter Bühlmann, Jianqing Fan
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning. CoRR (2024)
Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift. ICLR (2024)
Jinhang Chai, Jianqing Fan
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel. CoRR (2024)
Minshuo Chen, Song Mei, Jianqing Fan, Mengdi Wang
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization. CoRR (2024)
Jiawei Ge, Debarghya Mukherjee, Jianqing Fan
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift. CoRR (2024)
Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift. CoRR (2023)
Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
The Efficacy of Pessimism in Asynchronous Q-Learning. IEEE Trans. Inf. Theory 69 (11) (2023)
Jianqing Fan, Cheng Gao, Jason M. Klusowski
Robust Transfer Learning with Unreliable Source Data. CoRR (2023)
Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning. CoRR (2023)
Jiawei Ge, Shange Tang, Jianqing Fan, Chi Jin
On the Provable Advantage of Unsupervised Pretraining. CoRR (2023)
Jianqing Fan, Zhaoran Wang, Zhuoran Yang, Chenlu Ye
Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks. CoRR (2023)
Jianqing Fan, Cong Fang, Yihong Gu, Tong Zhang
Environment Invariant Linear Least Squares. CoRR (2023)
Jianqing Fan, Zhipeng Lou, Weichen Wang, Mengxin Yu
Spectral Ranking Inferences based on General Multiway Comparisons. CoRR (2023)
Yuling Yan, Weijie J. Su, Jianqing Fan
The Isotonic Mechanism for Exponential Family Estimation. CoRR (2023)
Jianqing Fan, Jikai Hou, Mengxin Yu
Uncertainty Quantification of MLE for Entity Ranking with Covariates. CoRR (2022)
Mengxin Yu, Zhuoran Yang, Jianqing Fan
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments. CoRR (2022)
Jianqing Fan, Zhipeng Lou, Weichen Wang, Mengxin Yu
Ranking Inferences Based on the Top Choice of Multiway Comparisons. CoRR (2022)
Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
The Efficacy of Pessimism in Asynchronous Q-Learning. CoRR (2022)
Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Xuanjing Huang, Jianqing Fan
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval. NAACL-HLT (Findings) (2022)
Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
Model-Based Reinforcement Learning Is Minimax-Optimal for Offline Zero-Sum Markov Games. CoRR (2022)
Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Haijun Shan, Xuanjing Huang, Jianqing Fan
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval. ICMR (2022)
Jianqing Fan, Yingying Fan, Jinchi Lv, Fan Yang
SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals. CoRR (2022)
Bingyan Wang, Jianqing Fan
Robust Matrix Completion with Heavy-tailed Noise. CoRR (2022)
Jianqing Fan, Zhipeng Lou, Mengxin Yu
Are Latent Factor Regression and Sparse Regression Adequate? CoRR (2022)
Jianqing Fan, Zhipeng Lou, Mengxin Yu
Robust High-dimensional Tuning Free Multiple Testing. CoRR (2022)
Bingyan Wang, Yuling Yan, Jianqing Fan
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model. CoRR (2021)
Yuling Yan, Yuxin Chen, Jianqing Fan
Inference for Heteroskedastic PCA with Missing Data. CoRR (2021)
Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Haijun Shan, Xuanjing Huang, Jianqing Fan
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval. CoRR (2021)
Francesca Tang, Yang Feng, Hamza Chiheb, Jianqing Fan
The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases. CoRR (2021)
Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
Spectral Methods for Data Science: A Statistical Perspective. Found. Trends Mach. Learn. 14 (5) (2021)
Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Jianqing Fan
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval. CoRR (2021)
Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng
Curriculum Learning for Vision-and-Language Navigation. NeurIPS (2021)
Jianqing Fan, Bai Jiang, Qiang Sun
Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning. J. Mach. Learn. Res. 22 (2021)
Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng
Curriculum Learning for Vision-and-Language Navigation. CoRR (2021)
Bingyan Wang, Yuling Yan, Jianqing Fan
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model. NeurIPS (2021)
Jianqing Fan, Yongyi Guo, Mengxin Yu
Policy Optimization Using Semiparametric Models for Dynamic Pricing. CoRR (2021)
Jianqing Fan, Zhaoran Wang, Yuchen Xie, Zhuoran Yang
A Theoretical Analysis of Deep Q-Learning. L4DC (2020)
Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data. CoRR (2020)
Jianqing Fan, Ricardo P. Masini, Marcelo C. Medeiros
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction. CoRR (2020)
Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. SIAM J. Optim. 30 (4) (2020)
Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
Spectral Methods for Data Science: A Statistical Perspective. CoRR (2020)
Koushiki Bose, Jianqing Fan, Yuan Ke, Xiaoou Pan, Wen-Xin Zhou
FarmTest: An R Package for Factor-Adjusted Robust Multiple Testing. R J. 12 (2) (2020)
Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution. CoRR (2020)
Jianqing Fan, Zhuoran Yang, Mengxin Yu
Understanding Implicit Regularization in Over-Parameterized Nonlinear Statistical Model. CoRR (2020)
Emmanuel Abbe, Jianqing Fan, Kaizheng Wang
theory of PCA and spectral clustering. CoRR (2020)
Jianqing Fan, Runze Li
Comment: Feature Screening and Variable Selection via Iterative Ridge Regression. Technometrics 62 (4) (2020)
Krishna Balasubramanian, Elynn Y. Chen, Jianqing Fan, Xiang Wu
Low-Rank Principal Eigenmatrix Analysis. CoRR (2019)
Jianqing Fan, Cong Ma, Yiqiao Zhong
A Selective Overview of Deep Learning. CoRR (2019)
Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan
Inference and Uncertainty Quantification for Noisy Matrix Completion. CoRR (2019)
Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. CoRR (2019)
Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval. Math. Program. 176 (1-2) (2019)
Jianqing Fan, Yongyi Guo, Kaizheng Wang
Communication-Efficient Accurate Statistical Estimation. CoRR (2019)
Yuxin Chen, Chen Cheng, Jianqing Fan
Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices. CoRR (2018)
Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval. CoRR (2018)
Jianqing Fan, Wenyan Gong, Chris Junchi Li, Qiang Sun
Statistical Sparse Online Regression: A Diffusion Approximation Perspective. AISTATS (2018)
Jianqing Fan, Han Liu, Zhaoran Wang, Zhuoran Yang
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval. CoRR (2018)
Jianqing Fan, Weichen Wang, Yiqiao Zhong
An $\ell_{\infty}$ Eigenvector Perturbation Bound and Its Application. J. Mach. Learn. Res. 18 (2017)
Yuxin Chen, Jianqing Fan, Cong Ma, Kaizheng Wang
Spectral Method and Regularized MLE Are Both Optimal for Top-$K$ Ranking. CoRR (2017)
Jianqing Fan, Wen-Xin Zhou
Guarding against Spurious Discoveries in High Dimensions. J. Mach. Learn. Res. 17 (2016)
T. Tony Cai, Jianqing Fan, Tiefeng Jiang
Distributions of angles in random packing on spheres. J. Mach. Learn. Res. 14 (1) (2013)
Jianqing Fan, Xin Tong, Yao Zeng
Communication Learning in Social Networks: Finite Population and the Rates CoRR (2012)
Jianqing Fan, Jinchi Lv
Nonconcave Penalized Likelihood With NP-Dimensionality. IEEE Trans. Inf. Theory 57 (8) (2011)
Jiaping Wang, Hongtu Zhu, Jianqing Fan, Kelly S. Giovanello, Weili Lin
Adaptively and Spatially Estimating the Hemodynamic Response Functions in fMRI. MICCAI (2) (2011)
Jianqing Fan, Richard Samworth, Yichao Wu
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model. J. Mach. Learn. Res. 10 (2009)
Jianqing Fan, Yue Niu
Selection and validation of normalization methods for c-DNA microarrays using within-array replications. Bioinform. 23 (18) (2007)
Jianqing Fan, Juan Gu
Data-analytic approaches to the estimation of Value-at-Risk. CIFEr (2003)
Jianqing Fan, Ja-Yong Koo
Wavelet deconvolution. IEEE Trans. Inf. Theory 48 (3) (2002)