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Songtao Lu
Songtao Lu
1
Affiliations
Affiliations
IBM Research
15
papers
150
total citations
papers (15)
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
NEURIPS 2020
arXiv
74
citations
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
ICML 2024
arXiv
34
citations
Understanding Benign Overfitting in Gradient-Based Meta Learning
NEURIPS 2022
arXiv
19
citations
FADAS: Towards Federated Adaptive Asynchronous Optimization
ICML 2024
arXiv
13
citations
Federated Neuro-Symbolic Learning
ICML 2024
arXiv
5
citations
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
ICML 2024
arXiv
3
citations
Distributed Bilevel Optimization with Communication Compression
ICML 2024
arXiv
2
citations
SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization
NEURIPS 2023
0
citations
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition
NEURIPS 2023
0
citations
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
NEURIPS 2020
0
citations
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
NEURIPS 2021
0
citations
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
NEURIPS 2022
0
citations
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration
NEURIPS 2023
0
citations
TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization
ICML 2025
0
citations
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
NEURIPS 2020
0
citations
