4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
Qi Qi, Quanqi Hu, Qihang Lin +1
This paper studies learning fair encoders in a self-supervised learning (SSL) setting, in which all data are unlabeled and only a small portion of them are annotated with sensitive…
math.OC2023
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo +2
In this paper, we consider non-convex multi-block bilevel optimization (MBBO) problems, which involve lower level problems and have important applications in machine learn…
cs.LG2023★ 4 cited
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan +3
In this paper, we aim to optimize a contrastive loss with individualized temperatures in a principled and systematic manner for self-supervised learning. The common practice of usi…