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Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning
  with Provable Convergence

Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence

24 February 2022
Zimeng Qiu
Quanqi Hu
Yongjian Zhong
Lijun Zhang
Tianbao Yang
    BDL
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Papers citing "Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence"

5 / 5 papers shown
Title
Efficient and Effective Implicit Dynamic Graph Neural Network
Efficient and Effective Implicit Dynamic Graph Neural Network
Yongjian Zhong
Hieu Vu
Tianbao Yang
Bijaya Adhikari
GNN
40
0
0
25 Jun 2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive
  Learning
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
Qi Qi
Quanqi Hu
Qihang Lin
Tianbao Yang
42
1
0
09 Jun 2024
FeDXL: Provable Federated Learning for Deep X-Risk Optimization
FeDXL: Provable Federated Learning for Deep X-Risk Optimization
Zhishuai Guo
R. L. Jin
Jiebo Luo
Tianbao Yang
FedML
47
8
0
26 Oct 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task
  Deep AUC Maximization
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization
Quanqi Hu
Yongjian Zhong
Tianbao Yang
25
16
0
01 Jun 2022
Solving Stochastic Compositional Optimization is Nearly as Easy as
  Solving Stochastic Optimization
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization
Tianyi Chen
Yuejiao Sun
W. Yin
48
81
0
25 Aug 2020
1