Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
- Yunsheng Tian
- Ane Zuniga
- et al.
- 2024
- ICML 2024
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31 results for Jie Chen
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs
- Tengfei Ma
- Trong Nghia Hoang
- et al.
- 2023
- UAI 2023
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
- Yifan Chen
- Rentian Yao
- et al.
- 2023
- ICML 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
- Tianchun Wang
- Farzaneh Mirzazadeh
- et al.
- 2023
- ICML 2023
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
- Yonggui Yan
- Jie Chen
- et al.
- 2023
- ICML 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
- Minghao Guo
- Veronika Thost
- et al.
- 2023
- ICML 2023
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