Jun Fan

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All published works

Action	Title	Year	Authors
+ PDF Chat	Distributed Gradient Descent for Functional Learning	2024	Zhan Yu Jun Fan Zhongjie Shi Ding‐Xuan Zhou
+	On the convergence of gradient descent for robust functional linear regression	2024	Cheng Wang Jun Fan
+ PDF Chat	Optimal prediction for kernel-based semi-functional linear regression	2023	Keli Guo Jun Fan Lixing Zhu
+ PDF Chat	Approximation of Nonlinear Functionals Using Deep ReLU Networks	2023	Linhao Song Jun Fan Di‐Rong Chen Ding‐Xuan Zhou
+ PDF Chat	Online gradient descent algorithms for functional data learning	2021	Xiaming Chen Bo‐Hao Tang Jun Fan Xin Guo
+	Regularized Estimating Equations from the Fixed-point and Variational Inequality Perspectives	2021	Yi Yang Yuwen Gu Yue Zhao Jun Fan
+ PDF Chat	Comparison theorems on large-margin learning	2021	Amina Benabid Jun Fan Dao-Hong Xiang
+	Optimal prediction for kernel-based semi-functional linear regression	2021	Keli Guo Jun Fan Lixing Zhu
+	A Statistical Learning Approach to Modal Regression	2020	Yunlong Feng Jun Fan Johan A. K. Suykens
+	Doubly robust estimation of average treatment effect revisited	2020	Keli Guo Chuyun Ye Jun Fan Lixing Zhu
+	An Inexact Projected Gradient Method for Sparsity-Constrained Quadratic Measurements Regression	2019	Jun Fan Liqun Wang Ailing Yan
+ PDF Chat	An RKHS approach to estimate individualized treatment rules based on functional predictors	2019	Jun Fan Fusheng Lv Lei Shi
+	Comparison theorems on large-margin learning	2019	Jun Fan Dao-Hong Xiang
+	ADMM for High-Dimensional Sparse Penalized Quantile Regression	2017	Yuwen Gu Jun Fan Lingchen Kong Shiqian Ma Hui Zou
+	Learning rates for regularized least squares ranking algorithm	2017	Yu-Long Zhao Jun Fan Lei Shi
+	Variable Selection in Sparse Regression with Quadratic Measurements	2017	Jun Fan Lingchen Kong Liqun Wang Naihua Xiu
+	Optimality conditions for sparse nonlinear programming	2017	Lili Pan Naihua Xiu Jun Fan
+	A Statistical Learning Approach to Modal Regression	2017	Yunlong Feng Jun Fan Johan A. K. Suykens
+	The Uniqueness and Greedy Method for Quadratic Compressive Sensing	2016	Jun Fan Lingchen Kong Liqun Wang Naihua Xiu
+	Consistency analysis of an empirical minimum error entropy algorithm	2014	Jun Fan Ting Hu Qiang Wu Ding‐Xuan Zhou
+	Consistency Analysis of an Empirical Minimum Error Entropy Algorithm	2014	Jun Fan Ting Hu Qiang Wu Ding‐Xuan Zhou
+	Asymptotic properties for M-estimators in linear models with dependent random errors	2013	Jun Fan Ailing Yan Naihua Xiu
+	Learning Theory Approach to Minimum Error Entropy Criterion	2012	Ting Hu Jun Fan Qiang Wu Ding‐Xuan Zhou
+	Learning Theory Approach to Minimum Error Entropy Criterion	2012	Ting Hu Jun Fan Qiang Wu Ding‐Xuan Zhou

Common Coauthors

Coauthor	Papers Together
Ding‐Xuan Zhou	6
Qiang Wu	4
Ting Hu	4
Naihua Xiu	4
Keli Guo	3
Lingchen Kong	3
Liqun Wang	3
Lixing Zhu	3
Ailing Yan	2
Dao-Hong Xiang	2
Yunlong Feng	2
Yuwen Gu	2
Johan A. K. Suykens	2
Lei Shi	2
Lili Pan	1
Xiaming Chen	1
Fusheng Lv	1
Yu-Long Zhao	1
Zhongjie Shi	1
Shiqian Ma	1
Xin Guo	1
Di‐Rong Chen	1
Linhao Song	1
Amina Benabid	1
Yue Zhao	1
Yi Yang	1
Chuyun Ye	1
Bo‐Hao Tang	1
Hui Zou	1
Cheng Wang	1
Zhan Yu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Prediction in functional linear regression	2006	Tommaso Cai Peter Hall	5
+ PDF Chat	Methodology and convergence rates for functional linear regression	2007	Peter Hall Joël L. Horowitz	5
+ PDF Chat	Minimax and Adaptive Prediction for Functional Linear Regression	2012	Tommaso Cai Ming Yuan	5
+	Learning Theory Approach to Minimum Error Entropy Criterion	2012	Ting Hu Jun Fan Qiang Wu Ding‐Xuan Zhou	4
+ PDF Chat	An RKHS approach to estimate individualized treatment rules based on functional predictors	2019	Jun Fan Fusheng Lv Lei Shi	4
+ PDF Chat	Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms	2013	Amir Beck Yonina C. Eldar	4
+	When the data are functions	1982	J. O. Ramsay	3
+	On signal reconstruction without phase	2005	Radu Bălan Pete Casazza Dan Edidin	3
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	3
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	3
+	Saving phase: Injectivity and stability for phase retrieval	2013	Afonso S. Bandeira Jameson Cahill Dustin G. Mixon Aaron A. Nelson	3
+	The covering number in learning theory	2002	Ding‐Xuan Zhou	3
+ PDF Chat	PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming	2012	Emmanuel J. Candès Thomas Strohmer Vladislav Voroninski	3
+ PDF Chat	Online gradient descent algorithms for functional data learning	2021	Xiaming Chen Bo‐Hao Tang Jun Fan Xin Guo	3
+	Some Tools for Functional Data Analysis	1991	J. O. Ramsay Connor J. Dalzell	3
+	Phase retrieval: Stability and recovery guarantees	2013	Yonina C. Eldar Shahar Mendelson	3
+	Capacity of reproducing kernel spaces in learning theory	2003	Ding‐Xuan Zhou	3
+	Sparsity based sub-wavelength imaging with partially incoherent light via quadratic compressed sensing	2011	Yoav Shechtman Yonina C. Eldar Alexander Szameit Mordechai Segev	3
+ PDF Chat	Capacity dependent analysis for functional online learning algorithms	2023	Xin Guo Zheng-Chu Guo Lei Shi	3
+ PDF Chat	Local Rademacher complexities	2005	Peter L. Bartlett Olivier Bousquet Shahar Mendelson	3
+ PDF Chat	Partially functional linear regression in high dimensions	2016	Dehan Kong Kaijie Xue Fang Yao Hao Helen Zhang	2
+	ESTIMATING THE APPROXIMATION ERROR IN LEARNING THEORY	2003	Steve Smale Ding‐Xuan Zhou	2
+ PDF Chat	Functional partial linear model	2010	Heng Lian	2
+	ONLINE LEARNING WITH MARKOV SAMPLING	2009	Steve Smale Ding‐Xuan Zhou	2
+	On regularization algorithms in learning theory	2006	Frank Bauer Sergei V. Pereverzev Lorenzo Rosasco	2
+	Weak Convergence and Empirical Processes: With Applications to Statistics	1996	Jon A. Wellner	2
+ PDF Chat	Convergence analysis of online algorithms	2006	Yiming Ying	2
+ PDF Chat	Adaptive Bayesian estimation using a Gaussian random field with inverse Gamma bandwidth	2009	Aad van der Vaart J. H. van Zanten	2
+ PDF Chat	Sparse Phase Retrieval from Short-Time Fourier Measurements	2014	Yonina C. Eldar Pavel Sidorenko Dustin G. Mixon Shaby Barel Oren Cohen	2
+	Classification with Gaussians and Convex Loss	2009	Dao-Hong Xiang Ding‐Xuan Zhou	2
+	Using the Refinement Equations for the Construction of Pre-Wavelets II: Powers of Two	1991	Rong-Qing Jia Charles A. Micchelli	2
+	Another Look at Distance-Weighted Discrimination	2017	Boxiang Wang Hui Zou	2
+	Multi-kernel regularized classifiers	2006	Qiang Wu Yiming Ying Ding‐Xuan Zhou	2
+	Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density	2013	Han Lin Shang	2
+	Learning with coefficient-based regularization and ℓ1 −penalty	2012	Zheng-Chu Guo Lei Shi	2
+ PDF Chat	Optimal aggregation of classifiers in statistical learning	2004	A. B. Tsybakov	2
+ PDF Chat	On a class of unimodal distributions	1961	R. G. Laha	2
+	Semi-functional partial linear regression	2005	Germán Aneiros Philippe Vieu	2
+ PDF Chat	Convexity, Classification, and Risk Bounds	2006	Peter L. Bartlett Michael I. Jordan Jon McAuliffe	2
+	Spline estimators for semi-functional linear model	2011	Jianjun Zhou Min Chen	2
+	Nonparametric time series prediction: A semi-functional partial linear modeling	2007	Germán Aneiros Philippe Vieu	2
+	Penalized least squares estimation in the additive model with different smoothness for the components	2015	Sara van de Geer Alan Muro	2
+ PDF Chat	On conditions for uniqueness in sparse phase retrieval	2014	Henrik Ohlsson Yonina C. Eldar	2
+ PDF Chat	Functional Data Analysis	2016	Jane-Ling Wang Jeng‐Min Chiou Hans‐Georg Müller	2
+ PDF Chat	On Moderate Deviation Theory in Estimation	1983	W.C.M. Kallenberg	2
+	Partial functional linear regression	2009	Hyejin Shin	2
+	On Early Stopping in Gradient Descent Learning	2007	Yuan Yao Lorenzo Rosasco Andrea Caponnetto	2
+	Learning with varying insensitive loss	2011	Dao-Hong Xiang Ting Hu Ding‐Xuan Zhou	2
+ PDF Chat	Optimal Rates for the Regularized Least-Squares Algorithm	2006	Andrea Caponnetto Ernesto De Vito	2
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	2