Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
- Yonggui Yan
- Jie Chen
- et al.
- 2023
- ICML 2023
Publications
36 results for Jie Chen
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization
- Gabriel Mancino-Ball
- Shengnan Miao
- et al.
- 2023
- AAAI 2023
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems
- Yangyang Xu
- Yibo Xu
- et al.
- 2022
- SIAM Journal on Imaging Sciences
Graph-augmented normalizing flows for anomaly detection of multiple time series
- Enyan Dai
- Jie Chen
- 2022
- ICLR 2022
Graph coarsening: from scientific computing to machine learning
- Jie Chen
- Yousef Saad
- et al.
- 2022
- SeMA Journal
Linear-Cost Covariance Functions for Gaussian Random Fields
- Jie Chen
- Michael L. Stein
- 2021
- JASA
Embedding compression with isotropic iterative quantization
- Siyu Liao
- Jie Chen
- et al.
- 2020
- AAAI 2020
Online planner selection with graph neural networks and adaptive scheduling
- Tengfei Ma
- Patrick Ferber
- et al.
- 2020
- AAAI 2020
EvolveGCN: Evolving graph convolutional networks for dynamic graphs
- Aldo Pareja
- Giacomo Domeniconi
- et al.
- 2020
- AAAI 2020
CAG: A real-time low-cost enhanced-robustness high-transferability content-aware adversarial attack generator
- Huy Phan
- Yi Xie
- et al.
- 2020
- AAAI 2020