Quanqi Hu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Stochastic Optimization

Top Venues

Publications

Qi Qi, Quanqi Hu, Qihang Lin, Tianbao Yang
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning. CoRR (2024)
Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions. CoRR (2024)
Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, Tianbao Yang
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization. CoRR (2023)
Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization. ICML (2023)
Quanqi Hu, Dixian Zhu, Tianbao Yang
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization. CoRR (2023)
Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, Tianbao Yang
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization. ICML (2023)
Quanqi Hu, Dixian Zhu, Tianbao Yang
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization. NeurIPS (2023)
Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization. CoRR (2023)
Quanqi Hu, Yongjian Zhong, Tianbao Yang
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization. CoRR (2022)
Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Lijun Zhang, Tianbao Yang
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence. CoRR (2022)
Quanqi Hu, Yongjian Zhong, Tianbao Yang
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization. NeurIPS (2022)
Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Lijun Zhang, Tianbao Yang
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence. ICML (2022)