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@Optimization-AI

Optimization for Machine Learning and AI

OptMAI Lab at Texas A&M University directed by Professor Tianbao Yang

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  1. LibAUC Public

    LibAUC: A Deep Learning Library for X-Risk Optimization

    Python 299 38

  2. ICCV2021_DeepAUC Public

    Official implementation of the paper "Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification, ICCV2021"

    Python 23 6

  3. SogCLR Public

    Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance", ICML2022.

    Python 20 5

  4. NDCG-Optimization Public

    Official implementation of the paper "Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence" ICML2022.

    Python 2

  5. TempNet Public

    Forked from zhqiu/TempNet

    To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO

    Python

  6. fast_clip Public

    Python 23 1

Repositories

Showing 10 of 12 repositories
  • maxclip_comp Public

    Website for MaxCLIP Competition

    HTML 0 0 0 0 Updated Nov 8, 2024
  • fast_clip Public
    Python 23 MIT 1 1 0 Updated Oct 3, 2024
  • LibAUC Public

    LibAUC: A Deep Learning Library for X-Risk Optimization

    Python 299 MIT 38 1 0 Updated Sep 2, 2024
  • TempNet Public Forked from zhqiu/TempNet

    To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO

    Python 0 5 0 0 Updated Apr 9, 2024
  • NeurIPS2021_SOAP Public

    Official implementation of the paper "Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence" published on Neurips2021.

    Python 20 1 1 0 Updated Oct 9, 2023
  • ICML2023_LDR Public Forked from DixianZhu/LDR

    The official implementation from 'Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity' ICML2023

    Python 0 Apache-2.0 1 0 0 Updated Jun 6, 2023
  • ICML2023_FeDXL Public

    Official implementation of ICML 2023 paper "FeDXL: Provable Federated Learning for Deep X-Risk Optimization".

    Python 2 0 0 0 Updated May 30, 2023
  • 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

    Python 2 1 0 0 Updated May 30, 2023
  • NDCG-Optimization Public

    Official implementation of the paper "Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence" ICML2022.

    Python 2 0 0 0 Updated May 5, 2023
  • SogCLR Public

    Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance", ICML2022.

    Python 20 5 1 0 Updated Mar 31, 2023
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