Difan Zou

8

Papers

88

Total Citations

Papers (8)

How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

Faster Sampling via Stochastic Gradient Proximal Sampler

Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning

Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data

What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks

Parallelized Autoregressive Visual Generation

Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference

Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks