Cong Shen

5

Papers

18

Total Citations

Papers (5)

On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures

Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning

On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery

Federated Representation Learning in the Under-Parameterized Regime

Verification of Machine Unlearning is Fragile