OptiBox: Breaking the Limits of Proposals for Visual Grounding. - Zicong Fan; Si Yi Meng; Leonid Sigal; James J. Little (CoRR, 2019)

Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation. - Si Yi Meng; Sharan Vaswani; Issam Hadj Laradji; Mark Schmidt 001; Simon Lacoste-Julien (AISTATS, 2020)

Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search). - Sharan Vaswani; Frederik Kunstner; Issam H. Laradji; Si Yi Meng; Mark Schmidt 001; Simon Lacoste-Julien (CoRR, 2020)

A General Analysis of Example-Selection for Stochastic Gradient Descent. - Yucheng Lu; Si Yi Meng; Christopher De Sa (ICLR, 2022)

A Model-Based Method for Minimizing CVaR and Beyond. - Si Yi Meng; Robert M. Gower (ICML, 2023)

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)

Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere? - Si Yi Meng; Baptiste Goujaud; Antonio Orvieto; Christopher De Sa (CoRR, 2025)