Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes. - Si Yi Meng; Antonio Orvieto; Daniel Yiming Cao; Christopher De Sa (CoRR, 2024)

Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity. - Daniel Yiming Cao; August Y. Chen; Karthik Sridharan; Benjamin Tang (CoRR, 2025)

Prompt Optimization with Logged Bandit Data. - Haruka Kiyohara; Daniel Yiming Cao; Yuta Saito; Thorsten Joachims (CoRR, 2025)