How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
- Hongkang Li
- Meng Weng
- et al.
- 2024
- ICML 2024
Publications
Date
Featured collections
Popular topics
72 results for Songtao Lu
FADAS: Towards Federated Adaptive Asynchronous Optimization
- Yujia Wang
- Shiqiang Wang
- et al.
- 2024
- ICML 2024
Distributed Bilevel Optimization with Communication Compression
- Yutong He
- Jie Hu
- et al.
- 2024
- ICML 2024
Federated Neuro-Symbolic Learning
- Pengwei Xing
- Songtao Lu
- et al.
- 2024
- ICML 2024
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
- Shuai Zhang
- Heshan Fernando
- et al.
- 2024
- ICML 2024
PILOT: An O (1/K)-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation
- Zhuqing Liu
- Xin Zhang
- et al.
- 2024
- ICLR 2024
PILOT: AN O(1/K)-CONVERGENT APPROACH FOR POLICY EVALUATION WITH NONLINEAR FUNCTION APPROXIMATION
- Zhuqing Liu
- Xin Zhang
- et al.
- 2024
- ICLR 2024
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