papers
Publications (9)
cs.IT2016
Restricted $q$-Isometry Properties Adapted to Frames for Nonconvex $l_q$-Analysis
Junhong Lin, Song Li
math.OC2015
Modified Fejér sequences and applications
Junhong Lin, Lorenzo Rosasco, Silvia Villa +1
cs.LG2019
Optimal Rates for Multi-pass Stochastic Gradient Methods
Junhong Lin, Lorenzo Rosasco
stat.ML2018
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms
Junhong Lin, Volkan Cevher
stat.ML2017
Optimal Rates for Learning with Nyström Stochastic Gradient Methods
Junhong Lin, Lorenzo Rosasco
stat.ML2018
Generalization Properties of Doubly Stochastic Learning Algorithms
Junhong Lin, Lorenzo Rosasco
stat.ML2015
Iterative Regularization for Learning with Convex Loss Functions
Junhong Lin, Lorenzo Rosasco, Ding-Xuan Zhou
stat.ML2018
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces
Junhong Lin, Volkan Cevher
cs.LG2016
Generalization Properties and Implicit Regularization for Multiple Passes SGM
Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco