Qingyue Zhao

Towards a Sharp Analysis of Offline Policy Learning for $f$-Divergence-Regularized Contextual Bandits

Transformers Trained via Gradient Descent Can Provably Learn a Class of Teacher Models

Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $\mu$ Parametrization