10 citations · 26 across the 13 of their papers we have counts for
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math.OC2021★ 1 cited
Understanding Riemannian Acceleration via a Proximal Extragradient Framework
Jikai Jin, Suvrit Sra
We contribute to advancing the understanding of Riemannian accelerated gradient methods. In particular, we revisit Accelerated Hybrid Proximal Extragradient(A-HPE), a powerful fram…
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…