Quanqi Hu

According to our database1, Quanqi Hu authored at least 7 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning.
CoRR, 2024

Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions.
CoRR, 2024

2023
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization.
Proceedings of the International Conference on Machine Learning, 2023

Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization.
Proceedings of the International Conference on Machine Learning, 2023

2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence.
Proceedings of the International Conference on Machine Learning, 2022


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