Fan, Jianqing
- Large Covariance Estimation by Thresholding Principal Orthogonal\n Complements
2011/12/30 by Jianqing Fan, Yuan Liao, Fan, Jianqing +3 · 17 citations
Mathematics · Economics, Econometrics and Finance · #Random Matrices and Applications #Statistical Methods and Inference #Spatial and Panel Data Analysis
- A Theoretical Analysis of Deep Q-Learning
2019/01/01 by Jianqing Fan, Fan, Jianqing, Zhaoran Wang +5 · 25 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning
- High Dimensional Covariance Matrix Estimation Using a Factor Model
2007/01/04 by Jianqing Fan, Yingying Fan, Fan, Jianqing +3 · 7 citations
Economics, Econometrics and Finance · Mathematics · #62E20 (Secondary) #62F12 #62H12 (Primary) #62J05 #FOS: Mathematics #Financial Markets and Investment Strategies #Financial Risk and Volatility Modeling #Random Matrices and Applications #Statistics Theory (math.ST)
- Sufficient Forecasting Using Factor Models
2015/05/27 by Jianqing Fan, Fan, Jianqing, Lingzhou Xue +3 · 8 citations
Decision Sciences · Economics, Econometrics and Finance · #FOS: Computer and information sciences #FOS: Mathematics #Financial Risk and Volatility Modeling #Forecasting Techniques and Applications #Machine Learning (stat.ML) #Methodology (stat.ME) #Monetary Policy and Economic Impact #Statistics Theory (math.ST)
- Distributions of Angles in Random Packing on Spheres
2013/06/02 by Tommaso Cai, Jianqing Fan, Cai, Tony +3 · 5 citations
Mathematics · #Point processes and geometric inequalities #Mathematical Approximation and Integration #Markov Chains and Monte Carlo Methods
- Estimating Number of Factors by Adjusted Eigenvalues Thresholding
2019/09/24 by Fan, Jianqing, Guo, Jianhua, Zheng, Shurong · 7 citations
#FOS: Computer and information sciences #Methodology (stat.ME)
- Adaptive Huber Regression
2017/06/21 by Sun, Qiang, Zhou, Wenxin, Fan, Jianqing · 6 citations
#FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- An Overview on the Estimation of Large Covariance and Precision Matrices
2015/04/12 by Jianqing Fan, Fan, Jianqing, Yuan Liao +3 · 5 citations
Economics, Econometrics and Finance · Mathematics · #Advanced Statistical Methods and Models #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Financial Risk and Volatility Modeling #Methodology (stat.ME)
- Factor-Adjusted Regularized Model Selection
2016/12/27 by Jianqing Fan, Yuan Ke, Fan, Jianqing +3 · 6 citations
Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Grey System Theory Applications #Methodology (stat.ME) #Statistical Methods and Inference
- Distributed Estimation of Principal Eigenspaces
2017/02/21 by Fan, Jianqing, Wang, Dong, Wang, Kaizheng +1 · 5 citations
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Statistics Theory (math.ST)
- A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
2009/10/06 by Jianqing Fan, Fan, Jianqing, Jinchi Lv +1 · 4 citations
Computer Science · Engineering · Mathematics · #68Q32 #Bayesian Methods and Mixture Models #FOS: Mathematics #Primary 62J99 #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST) #secondary 62F12
- Communication-Efficient Accurate Statistical Estimation
2019/06/12 by Fan, Jianqing, Guo, Yongyi, Wang, Kaizheng · 5 citations
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Statistical Challenges with High Dimensionality: Feature Selection in Knowledge Discovery
2006/02/07 by Jianqing Fan, Runze Li, Fan, Jianqing +1 · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #FOS: Mathematics #Face and Expression Recognition #Gene expression and cancer classification #Optimization and Control (math.OC) #Primary 62J99 #Secondary 62F12 #Statistical Methods and Inference #Statistics Theory (math.ST)
- A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery
2016/03/28 by Fan, Jianqing, Wang, Weichen, Zhu, Ziwei · 4 citations
#FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Non-Concave Penalized Likelihood with NP-Dimensionality
2009/10/06 by Jianqing Fan, Jinchi Lv, Fan, Jianqing +1 · 4 citations
Mathematics · #Statistical Methods and Inference
- Distributed Estimation and Inference with Statistical Guarantees
2015/09/17 by Heather Battey, Battey, Heather, Jianqing FanHan +4 · 6 citations
Mathematics · #Advanced Statistical Methods and Models #FOS: Mathematics #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
- An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
2024/04/11 by Minshuo Chen, Chen, Minshuo, Mei Song +5 · 9 citations
Mathematics · Biochemistry, Genetics and Molecular Biology · #Fractional Differential Equations Solutions #Diffusion and Search Dynamics
- Bernstein's inequalities for general Markov chains
2018/05/28 by Jiang, Bai, Sun, Qiang, Fan, Jianqing · 4 citations
#FOS: Mathematics #Statistics Theory (math.ST)
- Are Latent Factor Regression and Sparse Regression Adequate?
2022/03/02 by Jianqing Fan, Zhipeng Lou, Fan, Jianqing +3 · 5 citations
Decision Sciences · Materials Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
- I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error
2015/07/03 by Jianqing Fan, Fan, Jianqing, Han Liu +5 · 3 citations
Computer Science · Engineering · Mathematics · #FOS: Mathematics #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
- Large Covariance Estimation through Elliptical Factor Models
2015/07/30 by Fan, Jianqing, Liu, Han, Wang, Weichen · 3 citations
#FOS: Computer and information sciences #Methodology (stat.ME)
- Learning Latent Factors From Diversified Projections and Its Applications to Over-Estimated and Weak Factors
2019/08/04 by Jianqing Fan, Fan, Jianqing, Yuan Liao +1 · 4 citations
Decision Sciences · Economics, Econometrics and Finance · #FOS: Computer and information sciences #FOS: Mathematics #Forecasting Techniques and Applications #Methodology (stat.ME) #Monetary Policy and Economic Impact #Spatial and Panel Data Analysis #Statistics Theory (math.ST)
- Optimal Covariate Balancing Conditions in Propensity Score Estimation
2021/08/03 by Fan, Jianqing, Imai, Kosuke, Lee, Inbeom +3 · 4 citations
#Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
2019/02/20 by Chen, Yuxin, Chi, Yuejie, Fan, Jianqing +2 · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistics Theory (math.ST)
- Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
2017/09/27 by Abbe, Emmanuel, Fan, Jianqing, Wang, Kaizheng +1 · 3 citations
#FOS: Mathematics #Probability (math.PR) #Statistics Theory (math.ST)
- Robust high dimensional factor models with applications to statistical machine learning
2018/08/12 by Jianqing Fan, Kaizheng Wang, Fan, Jianqing +5 · 3 citations
Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
- Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models
2009/12/14 by Fan, Jianqing, Feng, Yang, Song, Rui · 2 citations
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- Vast Volatility Matrix Estimation using High Frequency Data for Portfolio Selection
2010/04/28 by Fan, Jianqing, Li, Yingying, Yu, Ke · 2 citations
#Applications (stat.AP) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Methodology (stat.ME) #Portfolio Management (q-fin.PM) #Statistical Finance (q-fin.ST) #Statistics Theory (math.ST)
- Ranking Inferences Based on the Top Choice of Multiway Comparisons
2022/11/22 by Fan, Jianqing, Lou, Zhipeng, Wang, Weichen +1 · 4 citations
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- How do noise tails impact on deep ReLU networks?
2022/03/20 by Jianqing Fan, Yihong Gu, Fan, Jianqing +3 · 5 citations
Mathematics · Engineering · Computer Science · #Statistical Methods and Inference #Control Systems and Identification #Machine Learning and ELM
- Embracing the Blessing of Dimensionality in Factor Models
2016/10/25 by Li, Quefeng, Cheng, Guang, Fan, Jianqing +1 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- On the Provable Advantage of Unsupervised Pretraining
2023/03/02 by Jiawei Ge, Ge, Jiawei, Shange Tang +5 · 3 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Statistics Theory (math.ST) #Topic Modeling
- SIMPLE: Statistical Inference on Membership Profiles in Large Networks
2019/10/03 by Jianqing Fan, Yingying Fan, Fan, Jianqing +5 · 2 citations
Physics and Astronomy · Mathematics · #Complex Network Analysis Techniques #Random Matrices and Applications #Opinion Dynamics and Social Influence
- FarmTest: Factor-Adjusted Robust Multiple Testing with Approximate False Discovery Control
2017/11/15 by Fan, Jianqing, Ke, Yuan, Sun, Qiang +1 · 2 citations
#FOS: Computer and information sciences #Methodology (stat.ME)
- Deep Neural Networks for Nonparametric Interaction Models with Diverging Dimension
2023/02/12 by Sohom Bhattacharya, Jianqing Fan, Bhattacharya, Sohom +3 · 4 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
- Community Network Auto-Regression for High-Dimensional Time Series
2020/07/10 by Chen, Elynn Y., Fan, Jianqing, Zhu, Xuening · 2 citations
#FOS: Computer and information sciences #Methodology (stat.ME)
- Bridging factor and sparse models
2021/02/22 by Fan, Jianqing, Masini, Ricardo, Medeiros, Marcelo C. · 2 citations
#Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #Methodology (stat.ME)
- Policy Optimization Using Semi-parametric Models for Dynamic Pricing
2021/09/13 by Jianqing Fan, Yongyi Guo, Fan, Jianqing +3 · 2 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Optimization and Search Problems
- Curriculum Learning for Vision-and-Language Navigation
2021/11/14 by Zhang, Jiwen, Wei, Zhongyu, Fan, Jianqing +1 · 2 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
2024/11/16 by Zihao Li, Yuan Cao, Li, Zihao +13 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Applications #Optimization and Control (math.OC)
- Robust Matrix Completion with Heavy-tailed Noise
2022/06/09 by Wang, Bingyan, Fan, Jianqing · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistics Theory (math.ST)
- Spectral Ranking Inferences based on General Multiway Comparisons
2023/08/05 by Fan, Jianqing, Lou, Zhipeng, Wang, Weichen +1 · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- Variance Estimation Using Refitted Cross-validation in Ultrahigh Dimensional Regression
2010/04/29 by Fan, Jianqing, Guo, Shaojun, Hao, Ning · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Estimating False Discovery Proportion Under Arbitrary Covariance Dependence
2010/10/28 by Fan, Jianqing, Han, Xu, Gu, Weijie · 1 citation
#62H15 #62P10 #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
2024/08/24 by Su, Buxin, Zhang, Jiayao, Collina, Natalie +6 · 4 citations
#Applications (stat.AP) #Computer Science and Game Theory (cs.GT) #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Risks of Large Portfolios
2013/02/05 by Fan, Jianqing, Liao, Yuan, Shi, Xiaofeng · 1 citation
#Applications (stat.AP) #FOS: Computer and information sciences #FOS: Economics and business #Portfolio Management (q-fin.PM)
- High Dimensional Semiparametric Latent Graphical Model for Mixed Data
2014/04/29 by Jianqing Fan, Fan, Jianqing, Han Liu +5 · 1 citation
Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference
- Power Enhancement in High Dimensional Cross-Sectional Tests
2013/10/15 by Fan, Jianqing, Liao, Yuan, Yao, Jiawei · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
- Structured Correlation Detection with Application to Colocalization Analysis in Dual-Channel Fluorescence Microscopic Imaging
2016/04/07 by Wang, Shulei, Fan, Jianqing, Pocock, Ginger +1 · 1 citation
#Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Robust Covariance Estimation for Approximate Factor Models
2016/02/01 by Fan, Jianqing, Wang, Weichen, Zhong, Yiqiao · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
- Heterogeneity Adjustment with Applications to Graphical Model Inference
2016/02/17 by Fan, Jianqing, Liu, Han, Wang, Weichen +1 · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
2023/11/27 by Jiawei Ge, Shange Tang, Ge, Jiawei +7 · 2 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference #Statistics Theory (math.ST)
- Bayesian Factor-adjusted Sparse Regression
2019/03/23 by Fan, Jianqing, Jiang, Bai, Sun, Qiang · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Best subset selection is robust against design dependence
2020/07/03 by Guo, Yongyi, Zhu, Ziwei, Fan, Jianqing · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
2021/05/28 by Bingyan Wang, Yuling Yan, Wang, Bingyan +3 · 1 citation
Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #FOS: Mathematics #Formal Methods in Verification #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Statistics Theory (math.ST)
- Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification
2013/12/31 by Fan, Jianqing, Feng, Yang, Jiang, Jiancheng +1 · 1 citation
#Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- Simultaneous Estimation and Group Identification for Network Vector Autoregressive Model with Heterogeneous Nodes
2022/09/25 by Zhu, Xuening, Xu, Ganggang, Fan, Jianqing · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
- Global Convergence in Training Large-Scale Transformers
2024/10/31 by Cheng Gao, Yuan Cao, Gao, Cheng +13 · 2 citations
Computer Science · Engineering · #35Q93 #3D Shape Modeling and Analysis #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
- Uncertainty Quantification of MLE for Entity Ranking with Covariates
2022/12/20 by Jianqing Fan, Fan, Jianqing, Jikai Hou +3 · 1 citation
Decision Sciences · Economics, Econometrics and Finance · #Economic and Environmental Valuation #FOS: Computer and information sciences #FOS: Mathematics #Game Theory and Voting Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Multi-Criteria Decision Making #Statistics Theory (math.ST)
- SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals
2022/10/31 by Jianqing Fan, Fan, Jianqing, Yingying Fan +5 · 1 citation
Mathematics · Neuroscience · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Random Matrices and Applications #Statistics Theory (math.ST)
- Communication-Efficient Distributed Estimation and Inference for Cox's Model
2023/02/23 by Pierre Bayle, Jianqing Fan, Bayle, Pierre +3 · 1 citation
Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
- Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
2024/05/07 by Yihong Gu, Cong Fang, Gu, Yihong +5 · 2 citations
Computer Science · #62G08 #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME) #Statistics Theory (math.ST)
- Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning
2023/04/14 by Li, Gen, Yan, Yuling, Chen, Yuxin +1 · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks
2023/11/22 by Fan, Jianqing, Wang, Zhaoran, Yang, Zhuoran +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Localized exploration in contextual dynamic pricing achieves dimension-free regret
2024/12/26 by Yaqi Duan, Chai, Jinhang, Duan, Yaqi +4 · 1 citation
Physics and Astronomy · Decision Sciences · #Opinion Dynamics and Social Influence #Decision-Making and Behavioral Economics
- Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression
2024/04/29 by Liu, Wenyang, Xu, Ganggang, Fan, Jianqing +1 · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
- Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
2024/05/16 by Jiawei Ge, Debarghya Mukherjee, Ge, Jiawei +3 · 1 citation
Computer Science · Engineering · #Advanced Algorithms and Applications #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME) #Statistics Theory (math.ST)
- An ℓ∞ Eigenvector Perturbation Bound and Its Application to Robust Covariance Estimation
2016/03/11 by Jianqing Fan, Wei-Chen Wang, Fan, Jianqing +3 · 2 citations
Engineering · Mathematics · #Sparse and Compressive Sensing Techniques #Radar Systems and Signal Processing #Random Matrices and Applications
- Adaptive Robust Large Volatility Matrix Estimation Based on High-Frequency Financial Data
2021/02/25 by Shin, Minseok, Kim, Donggyu, Fan, Jianqing · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Isotonic Mechanism for Exponential Family Estimation in Machine Learning Peer Review
2023/04/21 by Yan, Yuling, Su, Weijie J., Fan, Jianqing · 1 citation
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Machine Learning (cs.LG) #Methodology (stat.ME) #Statistics Theory (math.ST) #Theoretical Economics (econ.TH)
- Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random Designs
2020/08/04 by Yuxin Chen, Jianqing Fan, Chen, Yuxin +5 · 2 citations
Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Blind Source Separation Techniques #Advanced Image Processing Techniques
- Benign Overfitting in Out-of-Distribution Generalization of Linear Models
2024/12/19 by Shange Tang, Tang, Shange, Jiayun Wu +5 · 1 citation
Computer Science · #Image and Signal Denoising Methods