36 citations · 77 across the 14 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.LG2022
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization
Quan Xiao, Han Shen, Wotao Yin +1
Stochastic bilevel optimization, which captures the inherent nested structure of machine learning problems, is gaining popularity in many recent applications. Existing works on bil…
cs.LG2022★ 2 cited
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach
Heshan Fernando, Han Shen, Miao Liu +3
Machine learning problems with multiple objective functions appear either in learning with multiple criteria where learning has to make a trade-off between multiple performance met…
cs.LG2022★ 3 cited
A Single-Timescale Analysis For Stochastic Approximation With Multiple Coupled Sequences
Han Shen, Tianyi Chen
Stochastic approximation (SA) with multiple coupled sequences has found broad applications in machine learning such as bilevel learning and reinforcement learning (RL). In this pap…