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2020 – today
- 2022
[c6]Tianyi Chen, Yuejiao Sun, Quan Xiao, Wotao Yin:
A Single-Timescale Method for Stochastic Bilevel Optimization. AISTATS 2022: 2466-2488- 2021
- [j6]Yanli Liu
, Yuejiao Sun, Wotao Yin:
Decentralized Learning With Lazy and Approximate Dual Gradients. IEEE Trans. Signal Process. 69: 1362-1377 (2021) - [j5]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Communication-Adaptive Stochastic Gradient Methods for Distributed Learning. IEEE Trans. Signal Process. 69: 4637-4651 (2021) - [j4]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization. IEEE Trans. Signal Process. 69: 4937-4948 (2021) - [c5]Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin:
CADA: Communication-Adaptive Distributed Adam. AISTATS 2021: 613-621 - [c4]Yuejiao Sun, Tianyi Chen, Wotao Yin:
An Optimal Stochastic Compositional Optimization Method with Applications to Meta Learning. ICASSP 2021: 3665-3669 - [c3]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems. NeurIPS 2021: 25294-25307 - [i10]Tianyi Chen, Yuejiao Sun, Wotao Yin:
A Single-Timescale Stochastic Bilevel Optimization Method. CoRR abs/2102.04671 (2021) - [i9]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems. CoRR abs/2106.13781 (2021) - 2020
- [j3]Tao Sun, Yuejiao Sun, Yangyang Xu, Wotao Yin:
Markov chain block coordinate descent. Comput. Optim. Appl. 75(1): 35-61 (2020) - [j2]Zhangxuan Hu, Yishi Wang, Zhe Zhang, Jieying Zhang, Huimao Zhang, Chunjie Guo, Yuejiao Sun, Hua Guo:
Distortion correction of single-shot EPI enabled by deep-learning. NeuroImage 221: 117170 (2020) - [i8]Tianyi Chen, Yuejiao Sun, Wotao Yin:
LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning. CoRR abs/2002.11360 (2020) - [i7]Tianyi Chen, Xiao Jin, Yuejiao Sun, Wotao Yin:
VAFL: a Method of Vertical Asynchronous Federated Learning. CoRR abs/2007.06081 (2020) - [i6]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization. CoRR abs/2008.10847 (2020) - [i5]Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin:
CADA: Communication-Adaptive Distributed Adam. CoRR abs/2012.15469 (2020)
2010 – 2019
- 2019
- [j1]Yifan Chen, Yuejiao Sun, Wotao Yin:
Run-and-Inspect Method for nonconvex optimization and global optimality bounds for R-local minimizers. Math. Program. 176(1-2): 39-67 (2019) - [c2]Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao:
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme. NeurIPS 2019: 994-1004 - [i4]Tao Sun, Tianyi Chen, Yuejiao Sun, Qing Liao, Dongsheng Li:
Decentralized Markov Chain Gradient Descent. CoRR abs/1909.10238 (2019) - [i3]Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao:
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme. CoRR abs/1910.05093 (2019) - 2018
- [c1]Tao Sun, Yuejiao Sun, Wotao Yin:
On Markov Chain Gradient Descent. NeurIPS 2018: 9918-9927 - [i2]Tao Sun, Yuejiao Sun, Yangyang Xu, Wotao Yin:
Markov Chain Block Coordinate Descent. CoRR abs/1811.08990 (2018) - 2017
- [i1]Yifan Chen, Yuejiao Sun, Wotao Yin:
Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers. CoRR abs/1711.08172 (2017)
Coauthor Index
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