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math.OC2024
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
Wei Jiang, Sifan Yang, Wenhao Yang +3
This paper investigates projection-free algorithms for stochastic constrained multi-level optimization. In this context, the objective function is a nested composition of several s…
math.OC2024
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
Wei Jiang, Sifan Yang, Yibo Wang +1
This paper explores adaptive variance reduction methods for stochastic optimization based on the STORM technique. Existing adaptive extensions of STORM rely on strong assumptions l…
cs.LG2024★ 1 cited
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction
Wei Jiang, Sifan Yang, Wenhao Yang +1
Sign stochastic gradient descent (signSGD) is a communication-efficient method that transmits only the sign of stochastic gradients for parameter updating. Existing literature has…