On Provably Efficient Reinforcement Learning with Value Func...

Riemannian quasi-Newton methods, implementation techniques, ...

Composite Difference-Max Programs for Modern Statistical Est...

High-Dimensional Principal Component Analysis with Heterogen...

Matrix optimization based Euclidean embedding with outliers

Some Ideas on Input Modeling and Input Uncertainty in Stocha...

Matrix optimization based Euclidean embedding with outliers

Smooth quasi-Newton methods for nonsmooth optimization

Polynomial Optimization based on Sums-of-Squares and Differe...

Regularized neural networks and convex shape priori for imag...

Recursive blocked algorithms for linear systems with Kroneck...