% Key papers for Stochastic Frank-Wolfe methods (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2016_variance_36026,
  title = {{Variance-Reduced and Projection-Free Stochastic Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/hazana16.html},
}

@inproceedings{neurips2017_linear_56451,
  title = {{Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9390},
}

@inproceedings{neurips2016_linear_55854,
  title = {{Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7413},
}

@inproceedings{neurips2017_on_56525,
  title = {{On Frank-Wolfe and Equilibrium Computation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9427},
}

@inproceedings{icml2019_conditional_37244,
  title = {{Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4115},
}

@inproceedings{neurips2017_decomposition_56232,
  title = {{Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9055},
}

@inproceedings{neurips2020_revisiting_60719,
  title = {{Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17397},
}

@inproceedings{neurips2019_stochastic_59024,
  title = {{Stochastic Frank-Wolfe for Composite Convex Minimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14347},
}

@inproceedings{aaai2019_a_101735,
  title = {{A Non–Convex Optimization Approach to Correlation Clustering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4450},
}

@inproceedings{icml2020_stochastic_38791,
  title = {{Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5792},
}

@inproceedings{neurips2020_projection_60626,
  title = {{Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16935},
}

@inproceedings{icml2020_spectral_38778,
  title = {{Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6737},
}

@inproceedings{neurips2019_sinkhorn_58987,
  title = {{Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14575},
}

@inproceedings{icml2020_accelerated_37895,
  title = {{Accelerated Stochastic Gradient-free and Projection-free Methods}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6452},
}

@inproceedings{aaai2019_revisiting_100616,
  title = {{Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3972},
}

@inproceedings{icml2018_frank_36705,
  title = {{Frank-Wolfe with Subsampling Oracle}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2057},
}

@inproceedings{icml2020_boosting_37985,
  title = {{Boosting Frank-Wolfe by Chasing Gradients}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6608},
}

@inproceedings{neurips2019_primal_58829,
  title = {{Primal-Dual Block Generalized Frank-Wolfe}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14317},
}

@inproceedings{icml2017_lazifying_36245,
  title = {{Lazifying Conditional Gradient Algorithms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/509},
}

@inproceedings{icml2020_self_38744,
  title = {{Self-Concordant Analysis of Frank-Wolfe Algorithms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6125},
}

@inproceedings{icml2024_sarah_44737,
  title = {{Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33715},
}

@inproceedings{neurips2024_last_71220,
  title = {{Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96016},
}

@inproceedings{icml2026_lower_49528,
  title = {{Lower Bounds for Frank-Wolfe on Strongly Convex Sets}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=3KX1xU2bCC},
}

@inproceedings{icml2026_attention_55516,
  title = {{Attention's forward pass and Frank-Wolfe}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=zrn7rRuvhW},
}

@inproceedings{neurips2025_efficient_77360,
  title = {{Efficient Quadratic Corrections for Frank-Wolfe Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Sz2i4dwDem},
}

@inproceedings{neurips2025_fast_78135,
  title = {{Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=bP5cU0OYSn},
}

@inproceedings{neurips2025_revisiting_78686,
  title = {{Revisiting Frank-Wolfe for Structured Nonconvex Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=hJRklWq4Ah},
}

@inproceedings{iclr2026_fast_85038,
  title = {{Fast Frank–Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=9asuGOncOi},
}

@inproceedings{iclr2026_beyond_85693,
  title = {{Beyond Short Steps in Frank-Wolfe Algorithms}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=HBmZlcD8Ue},
}

@inproceedings{icml2026_lions_53595,
  title = {{Lions and Muons: Optimization via Stochastic Frank-Wolfe under Heavy-Tailed Noises}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=gvroXZ0HS8},
}