JL
Junhong Lin
cs.LGstat.MLmath.OCmath.FAcs.ITmath.ITmath.STstat.THcs.AIcs.NA
On Valency
published · living versionsW_ph5x83wj·v1 · currentpublished
Convergence Analysis of Nesterov's Accelerated Gradient Descent under Relaxed Assumptions
with Chenhao Yu
1 version
Preprints & journals
20 papers in the corpus · 2011–2025ConstellationNet: Reinventing Spatial Clustering through GNNs2503.07643v1 · Aidan Gao, Junhong Lin2025 · 0 citationsarXiv
Convergence Analysis of Stochastic Accelerated Gradient Methods for Generalized Smooth Optimizations2502.11125v3 · Chenhao Yu, Yusu Hong, Junhong Lin2025 · 0 citationsJournal of Optimization Theory and Applications (2026)211:27
Revisiting Convergence of AdaGrad with Relaxed Assumptions2402.13794v2 · Yusu Hong, Junhong Lin2024 · 0 citationsarXiv
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions2402.03982v2 · Yusu Hong, Junhong Lin2024 · 3 citationsarXiv
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network2402.04038v2 · Tan Sun, Junhong Lin2024 · 1 citationarXiv
Nonconvex Deterministic Matrix Completion by Projected Gradient Descent Methods2401.06592v1 · Hang Xu, Song Li, Junhong Lin2024 · 0 citationsarXiv
High Probability Convergence of Adam Under Unbounded Gradients and Affine Variance Noise2311.02000v1 · Yusu Hong, Junhong Lin2023 · 2 citationsarXiv
Kernel Conjugate Gradient Methods with Random Projections1811.01760v2 · Junhong Lin, Volkan Cevher2018 · 6 citationsApplied and Computational Harmonic Analysis 55(2021)223-269
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces1803.04371v2 · Junhong Lin, Volkan Cevher2018 · 5 citationsarXiv
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms1801.07226v2 · Junhong Lin, Volkan Cevher2018 · 20 citationsarXiv
Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces1801.06720v4 · Junhong Lin, Alessandro Rudi, Lorenzo Rosasco et al.2018 · 55 citationsApplied and Computational Harmonic Analysis 48 (2020) 868-890
Optimal Rates for Learning with Nyström Stochastic Gradient Methods1710.07797v1 · Junhong Lin, Lorenzo Rosasco2017 · 1 citationarXiv
Generalization Properties of Doubly Stochastic Learning Algorithms1707.00577v2 · Junhong Lin, Lorenzo Rosasco2017 · 7 citationsarXiv
Online Learning Algorithms Can Converge Comparably Fast as Batch Learning.28436894 · Lin, Junhong, Zhou, Ding-Xuan2019 · 32 citationsIEEE transactions on neural networks and learning systems. 2018;29(6):2367-2378
Optimal Rates for Multi-pass Stochastic Gradient Methods1605.08882v3 · Junhong Lin, Lorenzo Rosasco2016 · 48 citationsJournal of Machine Learning Research, 18:1-47, 2017
Generalization Properties and Implicit Regularization for Multiple Passes SGM1605.08375v1 · Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco2016 · 48 citationsarXiv
Restricted -Isometry Properties Adapted to Frames for Nonconvex -Analysis1602.06399v1 · Junhong Lin, Song Li2016 · 14 citationsarXiv
Modified Fejér sequences and applications1510.04641v1 · Junhong Lin, Lorenzo Rosasco, Silvia Villa et al.2015 · 1 citationarXiv
Sparse Recovery with Coherent Tight Frames via Analysis Dantzig Selector and Analysis LASSO1301.3248v2 · Junhong Lin, Song Li2013 · 47 citationsarXiv
Compressed Sensing with coherent tight frames via -minimization for 1105.3299v2 · Song Li, Junhong Lin2011 · 1 citationarXiv
Career total: 53 works. 20 are in this corpus.
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