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Quanqi Hu
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2020 – today
- 2024
- [i7]Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang:
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions. CoRR abs/2405.18577 (2024) - [i6]Qi Qi, Quanqi Hu, Qihang Lin, Tianbao Yang:
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning. CoRR abs/2406.05686 (2024) - 2023
- [c5]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: 13550-13583 - [c4]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: 28389-28421 - [c3]Quanqi Hu, Dixian Zhu, Tianbao Yang:
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization. NeurIPS 2023 - [i5]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 abs/2305.11965 (2023) - [i4]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 abs/2305.18730 (2023) - [i3]Quanqi Hu, Dixian Zhu
, Tianbao Yang:
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization. CoRR abs/2310.03234 (2023) - 2022
- [c2]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: 18122-18152 - [c1]Quanqi Hu, Yongjian Zhong, Tianbao Yang:
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization. NeurIPS 2022 - [i2]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 abs/2202.12183 (2022) - [i1]Quanqi Hu, Yongjian Zhong, Tianbao Yang:
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization. CoRR abs/2206.00260 (2022)
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