Optimization for Machine Learning and AI
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- TempNet Public Forked from zhqiu/TempNet
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
Optimization-AI/TempNet’s past year of commit activity - NeurIPS2021_SOAP Public
Official implementation of the paper "Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence" published on Neurips2021.
Optimization-AI/NeurIPS2021_SOAP’s past year of commit activity - ICML2023_LDR Public Forked from DixianZhu/LDR
The official implementation from 'Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity' ICML2023
Optimization-AI/ICML2023_LDR’s past year of commit activity - ICML2023_FeDXL Public
Official implementation of ICML 2023 paper "FeDXL: Provable Federated Learning for Deep X-Risk Optimization".
Optimization-AI/ICML2023_FeDXL’s past year of commit activity - ICML2023_BSVRB Public Forked from quanqihu/BSVRB_ICML2023
Official implementation of the paper "Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization", ICML 2023
Optimization-AI/ICML2023_BSVRB’s past year of commit activity - NDCG-Optimization Public
Official implementation of the paper "Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence" ICML2022.
Optimization-AI/NDCG-Optimization’s past year of commit activity - ICCV2021_DeepAUC Public
Official implementation of the paper "Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification, ICCV2021"
Optimization-AI/ICCV2021_DeepAUC’s past year of commit activity
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