Junyu Zhang
Junyu Zhang
Verified email at umn.edu
Cited by
Cited by
Highly accurate model for prediction of lung nodule malignancy with CT scans
JL Causey, J Zhang, S Ma, B Jiang, JA Qualls, DG Politte, F Prior, ...
Scientific reports 8 (1), 1-12, 2018
Primal-Dual Optimization Algorithms over Riemannian Manifolds: an Iteration Complexity Analysis
J Zhang, S Ma, S Zhang
Mathematical Programming (Series A), https://doi.org/10.1007/s10107-019-01418-8, 2019
A Cubic Regularized Newton's Method over Riemannian Manifolds
J Zhang, S Zhang
arXiv preprint arXiv:1805.05565, 2018
A stochastic composite gradient method with incremental variance reduction
J Zhang, L Xiao
Advances in Neural Information Processing Systems, 9078-9088, 2019
Multi-level composite stochastic optimization via nested variance reduction
J Zhang, L Xiao
arXiv preprint arXiv:1908.11468, 2019
Adaptive stochastic variance reduction for subsampled Newton method with cubic regularization
J Zhang, L Xiao, S Zhang
arXiv preprint arXiv:1811.11637, 2018
On lower iteration complexity bounds for the saddle point problems
J Zhang, M Hong, S Zhang
arXiv preprint arXiv:1912.07481, 2019
A composite randomized incremental gradient method
J Zhang, L Xiao
International Conference on Machine Learning, 7454-7462, 2019
A sparse completely positive relaxation of the modularity maximization for community detection
J Zhang, H Liu, Z Wen, S Zhang
SIAM Journal on Scientific Computing 40 (5), A3091-A3120, 2018
Subspace methods with local refinements for eigenvalue computation using low-rank tensor-train format
J Zhang, Z Wen, Y Zhang
Journal of Scientific Computing 70 (2), 478-499, 2017
From low probability to high confidence in stochastic convex optimization
D Davis, D Drusvyatskiy, L Xiao, J Zhang
arXiv preprint arXiv:1907.13307, 2019
Stochastic Variance-Reduced Prox-Linear Algorithms for Nonconvex Composite Optimization
J Zhang, L Xiao
arXiv preprint arXiv:2004.04357, 2020
Cautious Reinforcement Learning via Distributional Risk in the Dual Domain
J Zhang, AS Bedi, M Wang, A Koppel
arXiv preprint arXiv:2002.12475, 2020
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
J Zhang, A Koppel, AS Bedi, C Szepesvari, M Wang
arXiv preprint arXiv:2007.02151, 2020
FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks
L Wang, W Wu, J Zhang, H Liu, G Bosilca, M Herlihy, R Fonseca
Proceedings of the 29th International Symposium on High-Performance Parallel …, 2020
On the Divergence of Decentralized Non-Convex Optimization
M Hong, S Zeng, J Zhang, H Sun
arXiv preprint arXiv:2006.11662, 2020
Generalization Bounds for Stochastic Saddle Point Problems
J Zhang, M Hong, M Wang, S Zhang
arXiv preprint arXiv:2006.02067, 2020
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