10 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 4 cited
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
Jikai Jin, Bohang Zhang, Haiyang Wang +1
Distributionally robust optimization (DRO) is a widely-used approach to learn models that are robust against distribution shift. Compared with the standard optimization setting, th…
cs.LG2020★ 10 cited
Improved Analysis of Clipping Algorithms for Non-convex Optimization
Bohang Zhang, Jikai Jin, Cong Fang +1
Gradient clipping is commonly used in training deep neural networks partly due to its practicability in relieving the exploding gradient problem. Recently, \citet{zhang2019gradient…
math.OC2020
On The Convergence of First Order Methods for Quasar-Convex Optimization
Jikai Jin
In recent years, the success of deep learning has inspired many researchers to study the optimization of general smooth non-convex functions. However, recent works have established…