Jianqing Fan

Orcid: 0000-0003-3250-7677

According to our database1, Jianqing Fan authored at least 56 papers between 2002 and 2024.

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Bibliography

2024
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel.
CoRR, 2024

2023
The Efficacy of Pessimism in Asynchronous Q-Learning.
IEEE Trans. Inf. Theory, November, 2023

Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift.
CoRR, 2023

Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks.
CoRR, 2023

Robust Transfer Learning with Unreliable Source Data.
CoRR, 2023

Spectral Ranking Inferences based on General Multiway Comparisons.
CoRR, 2023

The Isotonic Mechanism for Exponential Family Estimation.
CoRR, 2023

Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning.
CoRR, 2023

Environment Invariant Linear Least Squares.
CoRR, 2023

On the Provable Advantage of Unsupervised Pretraining.
CoRR, 2023

2022
Uncertainty Quantification of MLE for Entity Ranking with Covariates.
CoRR, 2022

Robust High-dimensional Tuning Free Multiple Testing.
CoRR, 2022

Ranking Inferences Based on the Top Choice of Multiway Comparisons.
CoRR, 2022

SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals.
CoRR, 2022

Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments.
CoRR, 2022

Robust Matrix Completion with Heavy-tailed Noise.
CoRR, 2022

Model-Based Reinforcement Learning Is Minimax-Optimal for Offline Zero-Sum Markov Games.
CoRR, 2022

Are Latent Factor Regression and Sparse Regression Adequate?
CoRR, 2022

Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

2021
Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning.
J. Mach. Learn. Res., 2021

Spectral Methods for Data Science: A Statistical Perspective.
Found. Trends Mach. Learn., 2021

Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval.
CoRR, 2021

Policy Optimization Using Semiparametric Models for Dynamic Pricing.
CoRR, 2021

Inference for Heteroskedastic PCA with Missing Data.
CoRR, 2021

The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases.
CoRR, 2021

Curriculum Learning for Vision-and-Language Navigation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Comment: Feature Screening and Variable Selection via Iterative Ridge Regression.
Technometrics, 2020

Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization.
SIAM J. Optim., 2020

FarmTest: An R Package for Factor-Adjusted Robust Multiple Testing.
R J., 2020

Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction.
CoRR, 2020

Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution.
CoRR, 2020

Understanding Implicit Regularization in Over-Parameterized Nonlinear Statistical Model.
CoRR, 2020

An 𝓁<sub>p</sub> theory of PCA and spectral clustering.
CoRR, 2020

Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data.
CoRR, 2020

A Theoretical Analysis of Deep Q-Learning.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019
Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval.
Math. Program., 2019

Communication-Efficient Accurate Statistical Estimation.
CoRR, 2019

Inference and Uncertainty Quantification for Noisy Matrix Completion.
CoRR, 2019

Low-Rank Principal Eigenmatrix Analysis.
CoRR, 2019

A Selective Overview of Deep Learning.
CoRR, 2019

2018
Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices.
CoRR, 2018

Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval.
CoRR, 2018

Statistical Sparse Online Regression: A Diffusion Approximation Perspective.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
An $\ell_{\infty}$ Eigenvector Perturbation Bound and Its Application.
J. Mach. Learn. Res., 2017

Spectral Method and Regularized MLE Are Both Optimal for Top-$K$ Ranking.
CoRR, 2017

2016
Guarding against Spurious Discoveries in High Dimensions.
J. Mach. Learn. Res., 2016

2013
Distributions of angles in random packing on spheres.
J. Mach. Learn. Res., 2013

2012
Communication Learning in Social Networks: Finite Population and the Rates
CoRR, 2012

2011
Nonconcave Penalized Likelihood With NP-Dimensionality.
IEEE Trans. Inf. Theory, 2011

Adaptively and Spatially Estimating the Hemodynamic Response Functions in fMRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2009
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model.
J. Mach. Learn. Res., 2009

2007
Selection and validation of normalization methods for c-DNA microarrays using within-array replications.
Bioinform., 2007

2003
Data-analytic approaches to the estimation of Value-at-Risk.
Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

2002
Wavelet deconvolution.
IEEE Trans. Inf. Theory, 2002


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