Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
- Alex Gu
- Songtao Lu
- et al.
- 2023
- ICLR 2023
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72 results for Songtao Lu
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward
- Hairi FNU
- Jia Liu
- et al.
- 2022
- ICLR 2022
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
- Xin Zhang
- Zhuqing Liu
- et al.
- 2021
- NeurIPS 2021
Decentralized policy gradient descent ascent for safe multi-agent reinforcement learning
- Songtao Lu
- Kaiqing Zhang
- et al.
- 2021
- AAAI 2021
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
- Gang Wang
- Songtao Lu
- et al.
- 2020
- NeurIPS 2020
Finding second-order stationary points efficiently in smooth nonconvex linearly constrained optimization problems
- Songtao Lu
- Meisam Razaviyayn
- et al.
- 2020
- NeurIPS 2020
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- Chia-Yu Chen
- Jiamin Ni
- et al.
- 2020
- NeurIPS 2020
Min-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks
- Sijia Liu
- Songtao Lu
- et al.
- 2020
- ICML 2020
Improving the sample and communication complexity for decentralized non-convex optimization: Joint gradient estimation and tracking
- Haoran Sun
- Songtao Lu
- et al.
- 2020
- ICML 2020
Byzantine-Robust Decentralized Federated Learning
- Minghong Fang
- Zifan Zhang
- et al.
- 2024
- CCS 2024