Gregory Valiant

Code


What Can Transformers Learn In-Context? A Case Study of Simple Function Classes. (With Shivam Garg, Dimitris Tsipras, and Percy Liang, NeurIPS, 2022):

Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process. (With Guy Blanc, Neha Gupta, and Paul Valiant, COLT, 2020):

Spectrum Estimation (w. Weihao Kong, Annals of Statistics 2017):

Automatic Inequality Prover (w. Paul Valiant, FOCS 2014):

Estimating the Unseen (w. Paul Valiant):