36 citations · 64 across the 6 of their papers we have counts for
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cs.LG2020★ 1 cited
On The Convergence of Euler Discretization of Finite-Time Convergent Gradient Flows
Siqi Zhang, Mouhacine Benosman, Orlando Romero
In this study, we investigate the performance of two novel first-order optimization algorithms, namely the rescaled-gradient flow (RGF) and the signed-gradient flow (SGF). These al…
math.OC2020★ 14 cited
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
Yifan Hu, Siqi Zhang, Xin Chen +1
Conditional stochastic optimization covers a variety of applications ranging from invariant learning and causal inference to meta-learning. However, constructing unbiased gradient…