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ORCIDJianqing Fan
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2020 – today
- 2024
[j16]Yuling Yan
, Gen Li, Yuxin Chen, Jianqing Fan:
Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games. Oper. Res. 72(6): 2430-2445 (2024)- [j15]Yang Zhou, Jianqing Fan, Lirong Xue:
How Much Can Machines Learn Finance from Chinese Text Data? Manag. Sci. 70(12): 8962-8987 (2024) - [c11]Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan:
Minimax-optimal reward-agnostic exploration in reinforcement learning. COLT 2024: 3431-3436 - [c10]Jiawei Ge, Shange Tang, Jianqing Fan, Chi Jin:
On the Provable Advantage of Unsupervised Pretraining. ICLR 2024 - [c9]Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin:
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift. ICLR 2024 - [i49]Jinhang Chai, Jianqing Fan:
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel. CoRR abs/2401.02520 (2024) - [i48]Minshuo Chen, Song Mei, Jianqing Fan, Mengdi Wang:
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization. CoRR abs/2404.07771 (2024) - [i47]Yihong Gu, Cong Fang, Peter Bühlmann, Jianqing Fan:
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning. CoRR abs/2405.04715 (2024) - [i46]Jiawei Ge, Debarghya Mukherjee, Jianqing Fan:
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift. CoRR abs/2405.10302 (2024) - [i45]Buxin Su, Jiayao Zhang, Natalie Collina, Yuling Yan, Didong Li, Kyunghyun Cho, Jianqing Fan, Aaron Roth, Weijie J. Su:
Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning? CoRR abs/2408.13430 (2024) - [i44]Cheng Gao, Yuan Cao, Zihao Li, Yihan He, Mengdi Wang, Han Liu, Jason M. Klusowski, Jianqing Fan:
Global Convergence in Training Large-Scale Transformers. CoRR abs/2410.23610 (2024) - [i43]Zihao Li, Yuan Cao, Cheng Gao, Yihan He, Han Liu, Jason M. Klusowski, Jianqing Fan, Mengdi Wang:
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context. CoRR abs/2411.10830 (2024) - [i42]Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin:
Benign Overfitting in Out-of-Distribution Generalization of Linear Models. CoRR abs/2412.14474 (2024) - [i41]Jinhang Chai, Yaqi Duan, Jianqing Fan, Kaizheng Wang:
Localized exploration in contextual dynamic pricing achieves dimension-free regret. CoRR abs/2412.19252 (2024) - 2023
- [j14]Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan:
The Efficacy of Pessimism in Asynchronous Q-Learning. IEEE Trans. Inf. Theory 69(11): 7185-7219 (2023) - [i40]Jiawei Ge, Shange Tang, Jianqing Fan, Chi Jin:
On the Provable Advantage of Unsupervised Pretraining. CoRR abs/2303.01566 (2023) - [i39]Jianqing Fan, Cong Fang, Yihong Gu, Tong Zhang:
Environment Invariant Linear Least Squares. CoRR abs/2303.03092 (2023) - [i38]Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan:
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning. CoRR abs/2304.07278 (2023) - [i37]Yuling Yan, Weijie J. Su, Jianqing Fan:
The Isotonic Mechanism for Exponential Family Estimation. CoRR abs/2304.11160 (2023) - [i36]Jianqing Fan, Zhipeng Lou, Weichen Wang, Mengxin Yu:
Spectral Ranking Inferences based on General Multiway Comparisons. CoRR abs/2308.02918 (2023) - [i35]Jianqing Fan, Cheng Gao, Jason M. Klusowski:
Robust Transfer Learning with Unreliable Source Data. CoRR abs/2310.04606 (2023) - [i34]Jianqing Fan, Zhaoran Wang, Zhuoran Yang, Chenlu Ye:
Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks. CoRR abs/2311.13180 (2023) - [i33]Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin:
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift. CoRR abs/2311.15961 (2023) - 2022
- [c8]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: 137-145 - [c7]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: 2667-2678 - [i32]Jianqing Fan, Zhipeng Lou, Mengxin Yu:
Are Latent Factor Regression and Sparse Regression Adequate? CoRR abs/2203.01219 (2022) - [i31]Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan:
The Efficacy of Pessimism in Asynchronous Q-Learning. CoRR abs/2203.07368 (2022) - [i30]Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan:
Model-Based Reinforcement Learning Is Minimax-Optimal for Offline Zero-Sum Markov Games. CoRR abs/2206.04044 (2022) - [i29]Bingyan Wang, Jianqing Fan:
Robust Matrix Completion with Heavy-tailed Noise. CoRR abs/2206.04276 (2022) - [i28]Mengxin Yu, Zhuoran Yang, Jianqing Fan:
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments. CoRR abs/2208.11040 (2022) - [i27]Jianqing Fan, Yingying Fan, Jinchi Lv, Fan Yang:
SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals. CoRR abs/2211.00128 (2022) - [i26]Jianqing Fan, Zhipeng Lou, Weichen Wang, Mengxin Yu:
Ranking Inferences Based on the Top Choice of Multiway Comparisons. CoRR abs/2211.11957 (2022) - [i25]Jianqing Fan, Zhipeng Lou, Mengxin Yu:
Robust High-dimensional Tuning Free Multiple Testing. CoRR abs/2211.11959 (2022) - [i24]Jianqing Fan, Jikai Hou, Mengxin Yu:
Uncertainty Quantification of MLE for Entity Ranking with Covariates. CoRR abs/2212.09961 (2022) - 2021
- [j13]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma:
Spectral Methods for Data Science: A Statistical Perspective. Found. Trends Mach. Learn. 14(5): 566-806 (2021) - [j12]Jianqing Fan, Bai Jiang, Qiang Sun:
Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning. J. Mach. Learn. Res. 22: 139:1-139:35 (2021) - [c6]Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng:
Curriculum Learning for Vision-and-Language Navigation. NeurIPS 2021: 13328-13339 - [c5]Bingyan Wang, Yuling Yan, Jianqing Fan:
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model. NeurIPS 2021: 23009-23022 - [i23]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 abs/2101.02113 (2021) - [i22]Bingyan Wang, Yuling Yan, Jianqing Fan:
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model. CoRR abs/2105.14016 (2021) - [i21]Yuling Yan, Yuxin Chen, Jianqing Fan:
Inference for Heteroskedastic PCA with Missing Data. CoRR abs/2107.12365 (2021) - [i20]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 abs/2109.05523 (2021) - [i19]Jianqing Fan, Yongyi Guo, Mengxin Yu:
Policy Optimization Using Semiparametric Models for Dynamic Pricing. CoRR abs/2109.06368 (2021) - [i18]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 abs/2111.03349 (2021) - [i17]Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng:
Curriculum Learning for Vision-and-Language Navigation. CoRR abs/2111.07228 (2021) - 2020
- [j11]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): 372 (2020) - [j10]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): 3098-3121 (2020) - [j9]Jianqing Fan, Runze Li:
Comment: Feature Screening and Variable Selection via Iterative Ridge Regression. Technometrics 62(4): 434-437 (2020) - [c4]Jianqing Fan, Zhaoran Wang, Yuchen Xie, Zhuoran Yang:
A Theoretical Analysis of Deep Q-Learning. L4DC 2020: 486-489 - [i16]Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan:
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data. CoRR abs/2001.05484 (2020) - [i15]Emmanuel Abbe, Jianqing Fan, Kaizheng Wang:
An 𝓁p theory of PCA and spectral clustering. CoRR abs/2006.14062 (2020) - [i14]Jianqing Fan, Zhuoran Yang, Mengxin Yu:
Understanding Implicit Regularization in Over-Parameterized Nonlinear Statistical Model. CoRR abs/2007.08322 (2020) - [i13]Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan:
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution. CoRR abs/2008.01724 (2020) - [i12]Jianqing Fan, Ricardo P. Masini, Marcelo C. Medeiros:
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction. CoRR abs/2011.03996 (2020) - [i11]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma:
Spectral Methods for Data Science: A Statistical Perspective. CoRR abs/2012.08496 (2020)
2010 – 2019
- 2019
- [j8]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): 5-37 (2019) - [i10]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan:
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. CoRR abs/1902.07698 (2019) - [i9]Jianqing Fan, Cong Ma, Yiqiao Zhong:
A Selective Overview of Deep Learning. CoRR abs/1904.05526 (2019) - [i8]Krishna Balasubramanian, Elynn Y. Chen, Jianqing Fan, Xiang Wu:
Low-Rank Principal Eigenmatrix Analysis. CoRR abs/1904.12369 (2019) - [i7]Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan:
Inference and Uncertainty Quantification for Noisy Matrix Completion. CoRR abs/1906.04159 (2019) - [i6]Jianqing Fan, Yongyi Guo, Kaizheng Wang:
Communication-Efficient Accurate Statistical Estimation. CoRR abs/1906.04870 (2019) - 2018
- [c3]Jianqing Fan, Wenyan Gong, Chris Junchi Li, Qiang Sun:
Statistical Sparse Online Regression: A Diffusion Approximation Perspective. AISTATS 2018: 1017-1026 - [i5]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma:
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval. CoRR abs/1803.07726 (2018) - [i4]Jianqing Fan, Han Liu, Zhaoran Wang, Zhuoran Yang:
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval. CoRR abs/1808.06996 (2018) - [i3]Yuxin Chen, Chen Cheng, Jianqing Fan:
Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices. CoRR abs/1811.12804 (2018) - 2017
- [j7]Jianqing Fan, Weichen Wang, Yiqiao Zhong:
An $\ell_{\infty}$ Eigenvector Perturbation Bound and Its Application. J. Mach. Learn. Res. 18: 207:1-207:42 (2017) - [i2]Yuxin Chen, Jianqing Fan, Cong Ma, Kaizheng Wang:
Spectral Method and Regularized MLE Are Both Optimal for Top-$K$ Ranking. CoRR abs/1707.09971 (2017) - 2016
- [j6]Jianqing Fan, Wen-Xin Zhou:
Guarding against Spurious Discoveries in High Dimensions. J. Mach. Learn. Res. 17: 203:1-203:34 (2016) - 2013
- [j5]T. Tony Cai, Jianqing Fan, Tiefeng Jiang:
Distributions of angles in random packing on spheres. J. Mach. Learn. Res. 14(1): 1837-1864 (2013) - 2012
- [i1]Jianqing Fan, Xin Tong, Yao Zeng:
Communication Learning in Social Networks: Finite Population and the Rates. CoRR abs/1212.2893 (2012) - 2011
- [j4]Jianqing Fan, Jinchi Lv:
Nonconcave Penalized Likelihood With NP-Dimensionality. IEEE Trans. Inf. Theory 57(8): 5467-5484 (2011) - [c2]Jiaping Wang, Hongtu Zhu, Jianqing Fan, Kelly S. Giovanello, Weili Lin:
Adaptively and Spatially Estimating the Hemodynamic Response Functions in fMRI. MICCAI (2) 2011: 269-276
2000 – 2009
- 2009
- [j3]Jianqing Fan, Richard Samworth, Yichao Wu:
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model. J. Mach. Learn. Res. 10: 2013-2038 (2009) - 2007
- [j2]Jianqing Fan, Yue Niu:
Selection and validation of normalization methods for c-DNA microarrays using within-array replications. Bioinform. 23(18): 2391-2398 (2007) - 2003
- [c1]Jianqing Fan, Juan Gu:
Data-analytic approaches to the estimation of Value-at-Risk. CIFEr 2003: 271-277 - 2002
- [j1]Jianqing Fan, Ja-Yong Koo:
Wavelet deconvolution. IEEE Trans. Inf. Theory 48(3): 734-747 (2002)
Coauthor Index
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