Graph Neural Networks With Adaptive Structures
- Zepeng Zhang
- Songtao Lu
- et al.
- 2024
- IEEE JSTSP
Publications
75 results for Songtao Lu
SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization
- Songtao Lu
- 2023
- NeurIPS 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- Shuai Zhang
- Hongkang Li
- et al.
- 2023
- NeurIPS 2023
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition
- Quan Xiao
- Songtao Lu
- et al.
- 2023
- NeurIPS 2023
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities
- Zhuqing Liu
- Xin Zhang
- et al.
- 2023
- MobiHoc 2023
Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization
- Zichong Li
- Pin-Yu Chen
- et al.
- 2023
- COAP
Waveform Design and Optimization for Integrated Visible Light Positioning and Communication
- Shuai Ma
- Shiyu Cao
- et al.
- 2023
- IEEE Transactions on Communications
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
- Yonggui Yan
- Jie Chen
- et al.
- 2023
- ICML 2023
Bilevel Optimization with Coupled Decision-Dependent Distributions
- Songtao Lu
- 2023
- ICML 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning
- Zhuqing Liu
- Xin Zhang
- et al.
- 2023
- ICML 2023