Shanshan Wu

8

Papers

43

Total Citations

Papers (8)

Leveraging Sparsity for Efficient Submodular Data Summarization

NeurIPS 2016arXiv

Single Pass PCA of Matrix Products

NeurIPS 2016arXiv

Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs

Implicit Regularization and Convergence for Weight Normalization

Federated Reconstruction: Partially Local Federated Learning

Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling

Learning Distributions Generated by One-Layer ReLU Networks

Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models