Jianqing Fan - RankMe

93 papers A* 9A 1B 1Journal 78Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Spectral Ranking Inferences Based on General Multiway Comparisons. Oper. Res. Jianqing Fan, Zhipeng Lou, Weichen Wang, Mengxin Yu
2025	J	`jnl`	A Provable Initialization and Robust Clustering Method for General Mixture Models. IEEE Trans. Inf. Theory Soham Jana, Jianqing Fan, Sanjeev R. Kulkarni
2025	J	`jnl`	Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices. CoRR Jianqing Fan, Yingying Fan, Jinchi Lv, Fan Yang, Diwen Yu
2025	A*	`conf`	Benign Overfitting in Out-of-Distribution Generalization of Linear Models. ICLR Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin
2025	J	`jnl`	CINDES: Classification induced neural density estimator and simulator. CoRR Dehao Dai, Jianqing Fan, Yihong Gu, Debarghya Mukherjee
2025	J	`jnl`	Deep Transfer CoRR Jinhang Chai, Elynn Y. Chen, Jianqing Fan
2025	J	`jnl`	Factor Informed Double Deep Learning For Average Treatment Effect Estimation. CoRR Jianqing Fan, Soham Jana, Sanjeev R. Kulkarni, Qishuo Yin
2025	J	`jnl`	Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization. CoRR Yihong Gu, Cong Fang, Yang Xu, Zijian Guo, Jianqing Fan
2025	J	`jnl`	How to Find Fantastic Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review. CoRR Buxin Su, Natalie Collina, Garrett Wen, Didong Li, Kyunghyun Cho, Jianqing Fan, Bingxin Zhao, Weijie Su
2025	J	`jnl`	Learning Spectral Methods by Transformers. CoRR Yihan He, Yuan Cao, Hong-Yu Chen, Dennis Wu, Jianqing Fan, Han Liu
2025	J	`jnl`	Transformers Simulate MLE for Sequence Generation in Bayesian Networks. CoRR Yuan Cao, Yihan He, Dennis Wu, Hong-Yu Chen, Jianqing Fan, Han Liu
2025	J	`jnl`	Transformers and Their Roles as Time Series Foundation Models. CoRR Dennis Wu, Yihan He, Yuan Cao, Jianqing Fan, Han Liu
2025	J	`jnl`	Transformers versus the EM Algorithm in Multi-class Clustering. CoRR Yihan He, Hong-Yu Chen, Yuan Cao, Jianqing Fan, Han Liu
2024	J	`jnl`	An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization. CoRR Minshuo Chen, Song Mei, Jianqing Fan, Mengdi Wang
2024	J	`jnl`	Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning? CoRR Buxin Su, Jiayao Zhang, Natalie Collina, Yuling Yan, Didong Li, Kyunghyun Cho, Jianqing Fan, Aaron Roth, Weijie J. Su
2024	J	`jnl`	Benign Overfitting in Out-of-Distribution Generalization of Linear Models. CoRR Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin
2024	J	`jnl`	Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning. CoRR Yihong Gu, Cong Fang, Peter Bühlmann, Jianqing Fan
2024	A*	`conf`	Global Convergence in Training Large-Scale Transformers. NeurIPS Cheng Gao, Yuan Cao, Zihao Li, Yihan He, Mengdi Wang, Han Liu, Jason M. Klusowski, Jianqing Fan
2024	J	`jnl`	Global Convergence in Training Large-Scale Transformers. CoRR Cheng Gao, Yuan Cao, Zihao Li, Yihan He, Mengdi Wang, Han Liu, Jason M. Klusowski, Jianqing Fan
2024	J	`jnl`	How Much Can Machines Learn Finance from Chinese Text Data? Manag. Sci. Yang Zhou, Jianqing Fan, Lirong Xue
2024	J	`jnl`	Localized exploration in contextual dynamic pricing achieves dimension-free regret. CoRR Jinhang Chai, Yaqi Duan, Jianqing Fan, Kaizheng Wang
2024	A*	`conf`	Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift. ICLR Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
2024	A*	`conf`	Minimax-optimal reward-agnostic exploration in reinforcement learning. COLT Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan
2024	J	`jnl`	Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games. Oper. Res. Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
2024	A*	`conf`	On the Provable Advantage of Unsupervised Pretraining. ICLR Jiawei Ge, Shange Tang, Jianqing Fan, Chi Jin
2024	A*	`conf`	One-Layer Transformer Provably Learns One-Nearest Neighbor In Context. NeurIPS Zihao Li, Yuan Cao, Cheng Gao, Yihan He, Han Liu, Jason M. Klusowski, Jianqing Fan, Mengdi Wang
2024	J	`jnl`	One-Layer Transformer Provably Learns One-Nearest Neighbor In Context. CoRR Zihao Li, Yuan Cao, Cheng Gao, Yihan He, Han Liu, Jason M. Klusowski, Jianqing Fan, Mengdi Wang
2024	A*	`conf`	Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift. NeurIPS Jiawei Ge, Debarghya Mukherjee, Jianqing Fan
2024	J	`jnl`	Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift. CoRR Jiawei Ge, Debarghya Mukherjee, Jianqing Fan
2024	J	`jnl`	Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel. CoRR Jinhang Chai, Jianqing Fan
2024	J	`jnl`	Uncertainty Quantification of MLE for Entity Ranking with Covariates. J. Mach. Learn. Res. Jianqing Fan, Jikai Hou, Mengxin Yu
2023	J	`jnl`	Environment Invariant Linear Least Squares. CoRR Jianqing Fan, Cong Fang, Yihong Gu, Tong Zhang
2023	J	`jnl`	Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift. CoRR Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
2023	J	`jnl`	Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning. CoRR Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan
2023	J	`jnl`	On the Provable Advantage of Unsupervised Pretraining. CoRR Jiawei Ge, Shange Tang, Jianqing Fan, Chi Jin
2023	J	`jnl`	Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks. CoRR Jianqing Fan, Zhaoran Wang, Zhuoran Yang, Chenlu Ye
2023	J	`jnl`	Robust Transfer Learning with Unreliable Source Data. CoRR Jianqing Fan, Cheng Gao, Jason M. Klusowski
2023	J	`jnl`	Spectral Ranking Inferences based on General Multiway Comparisons. CoRR Jianqing Fan, Zhipeng Lou, Weichen Wang, Mengxin Yu
2023	J	`jnl`	The Efficacy of Pessimism in Asynchronous Q-Learning. IEEE Trans. Inf. Theory Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
2023	J	`jnl`	The Isotonic Mechanism for Exponential Family Estimation. CoRR Yuling Yan, Weijie J. Su, Jianqing Fan
2022	J	`jnl`	Are Latent Factor Regression and Sparse Regression Adequate? CoRR Jianqing Fan, Zhipeng Lou, Mengxin Yu
2022	B	`conf`	Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval. ICMR Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Haijun Shan, Xuanjing Huang, Jianqing Fan
2022	J	`jnl`	Model-Based Reinforcement Learning Is Minimax-Optimal for Offline Zero-Sum Markov Games. CoRR Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
2022	—	`conf`	Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval. NAACL-HLT (Findings) Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Xuanjing Huang, Jianqing Fan
2022	J	`jnl`	Ranking Inferences Based on the Top Choice of Multiway Comparisons. CoRR Jianqing Fan, Zhipeng Lou, Weichen Wang, Mengxin Yu
2022	J	`jnl`	Robust High-dimensional Tuning Free Multiple Testing. CoRR Jianqing Fan, Zhipeng Lou, Mengxin Yu
2022	J	`jnl`	Robust Matrix Completion with Heavy-tailed Noise. CoRR Bingyan Wang, Jianqing Fan
2022	J	`jnl`	SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals. CoRR Jianqing Fan, Yingying Fan, Jinchi Lv, Fan Yang
2022	J	`jnl`	Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments. CoRR Mengxin Yu, Zhuoran Yang, Jianqing Fan
2022	J	`jnl`	The Efficacy of Pessimism in Asynchronous Q-Learning. CoRR Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
2022	J	`jnl`	Uncertainty Quantification of MLE for Entity Ranking with Covariates. CoRR Jianqing Fan, Jikai Hou, Mengxin Yu
2021	J	`jnl`	Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval. CoRR Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Haijun Shan, Xuanjing Huang, Jianqing Fan
2021	A*	`conf`	Curriculum Learning for Vision-and-Language Navigation. NeurIPS Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng
2021	J	`jnl`	Curriculum Learning for Vision-and-Language Navigation. CoRR Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng
2021	J	`jnl`	Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning. J. Mach. Learn. Res. Jianqing Fan, Bai Jiang, Qiang Sun
2021	J	`jnl`	Inference for Heteroskedastic PCA with Missing Data. CoRR Yuling Yan, Yuxin Chen, Jianqing Fan
2021	J	`jnl`	Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval. CoRR Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Jianqing Fan
2021	J	`jnl`	Policy Optimization Using Semiparametric Models for Dynamic Pricing. CoRR Jianqing Fan, Yongyi Guo, Mengxin Yu
2021	A*	`conf`	Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model. NeurIPS Bingyan Wang, Yuling Yan, Jianqing Fan
2021	J	`jnl`	Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model. CoRR Bingyan Wang, Yuling Yan, Jianqing Fan
2021	J	`jnl`	Spectral Methods for Data Science: A Statistical Perspective. Found. Trends Mach. Learn. Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2021	J	`jnl`	The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases. CoRR Francesca Tang, Yang Feng, Hamza Chiheb, Jianqing Fan
2020	—	`conf`	A Theoretical Analysis of Deep Q-Learning. L4DC Jianqing Fan, Zhaoran Wang, Yuchen Xie, Zhuoran Yang
2020	J	`jnl`	An 𝓁 CoRR Emmanuel Abbe, Jianqing Fan, Kaizheng Wang
2020	J	`jnl`	Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data. CoRR Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan
2020	J	`jnl`	Comment: Feature Screening and Variable Selection via Iterative Ridge Regression. Technometrics Jianqing Fan, Runze Li
2020	J	`jnl`	Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution. CoRR Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan
2020	J	`jnl`	Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction. CoRR Jianqing Fan, Ricardo P. Masini, Marcelo C. Medeiros
2020	J	`jnl`	FarmTest: An R Package for Factor-Adjusted Robust Multiple Testing. R J. Koushiki Bose, Jianqing Fan, Yuan Ke, Xiaoou Pan, Wen-Xin Zhou
2020	J	`jnl`	Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. SIAM J. Optim. Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan
2020	J	`jnl`	Spectral Methods for Data Science: A Statistical Perspective. CoRR Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2020	J	`jnl`	Understanding Implicit Regularization in Over-Parameterized Nonlinear Statistical Model. CoRR Jianqing Fan, Zhuoran Yang, Mengxin Yu
2019	J	`jnl`	A Selective Overview of Deep Learning. CoRR Jianqing Fan, Cong Ma, Yiqiao Zhong
2019	J	`jnl`	Communication-Efficient Accurate Statistical Estimation. CoRR Jianqing Fan, Yongyi Guo, Kaizheng Wang
2019	J	`jnl`	Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval. Math. Program. Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2019	J	`jnl`	Inference and Uncertainty Quantification for Noisy Matrix Completion. CoRR Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan
2019	J	`jnl`	Low-Rank Principal Eigenmatrix Analysis. CoRR Krishna Balasubramanian, Elynn Y. Chen, Jianqing Fan, Xiang Wu
2019	J	`jnl`	Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. CoRR Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan
2018	J	`jnl`	Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices. CoRR Yuxin Chen, Chen Cheng, Jianqing Fan
2018	J	`jnl`	Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval. CoRR Jianqing Fan, Han Liu, Zhaoran Wang, Zhuoran Yang
2018	J	`jnl`	Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval. CoRR Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2018	A	`conf`	Statistical Sparse Online Regression: A Diffusion Approximation Perspective. AISTATS Jianqing Fan, Wenyan Gong, Chris Junchi Li, Qiang Sun
2017	J	`jnl`	An $\ell_{\infty}$ Eigenvector Perturbation Bound and Its Application. J. Mach. Learn. Res. Jianqing Fan, Weichen Wang, Yiqiao Zhong
2017	J	`jnl`	Spectral Method and Regularized MLE Are Both Optimal for Top-$K$ Ranking. CoRR Yuxin Chen, Jianqing Fan, Cong Ma, Kaizheng Wang
2016	J	`jnl`	Guarding against Spurious Discoveries in High Dimensions. J. Mach. Learn. Res. Jianqing Fan, Wen-Xin Zhou
2013	J	`jnl`	Distributions of angles in random packing on spheres. J. Mach. Learn. Res. T. Tony Cai, Jianqing Fan, Tiefeng Jiang
2012	J	`jnl`	Communication Learning in Social Networks: Finite Population and the Rates CoRR Jianqing Fan, Xin Tong, Yao Zeng
2011	—	`conf`	Adaptively and Spatially Estimating the Hemodynamic Response Functions in fMRI. MICCAI (2) Jiaping Wang, Hongtu Zhu, Jianqing Fan, Kelly S. Giovanello, Weili Lin
2011	J	`jnl`	Nonconcave Penalized Likelihood With NP-Dimensionality. IEEE Trans. Inf. Theory Jianqing Fan, Jinchi Lv
2009	J	`jnl`	Ultrahigh Dimensional Feature Selection: Beyond The Linear Model. J. Mach. Learn. Res. Jianqing Fan, Richard Samworth, Yichao Wu
2007	J	`jnl`	Selection and validation of normalization methods for c-DNA microarrays using within-array replications. Bioinform. Jianqing Fan, Yue Niu
2003	—	`conf`	Data-analytic approaches to the estimation of Value-at-Risk. CIFEr Jianqing Fan, Juan Gu
2002	J	`jnl`	Wavelet deconvolution. IEEE Trans. Inf. Theory Jianqing Fan, Ja-Yong Koo