source_v1/Bibliography.bib

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@article{carrillo2024fisher,
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@article{delageDistributionallyRobustOptimization2010,
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@article{ben-talRobustSolutionsOptimization2013,
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@article{levyLargeScaleMethodsDistributionally2020,
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@article{kuhnDistributionallyRobustOptimization2024,
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@article{gallouetJKOSplittingScheme2018,
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  urldate       = {2023-01-15},
  archiveprefix = {arXiv},
  keywords      = {35K15 35K57 35K65 47J30,Mathematics - Analysis of PDEs}
}

@inproceedings{yuFastDistributionallyRobust2022,
  title     = {Fast {{Distributionally Robust Learning}} with {{Variance-Reduced Min-Max Optimization}}},
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  publisher = {PMLR},
  issn      = {2640-3498},
  urldate   = {2022-07-22},
  langid    = {english}
}
@inproceedings{congerStrategicDistributionShift2023,
  title     = {Strategic {{Distribution Shift}} of {{Interacting Agents}} via {{Coupled Gradient Flows}}},
  booktitle = {Thirty-Seventh {{Conference}} on {{Neural Information Processing Systems}}},
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  year      = {2023},
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  urldate   = {2023-12-21},
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@article{trillosAdversarialRobustnessUse2023,
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@article{luAcceleratingLangevinSampling2019,
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@article{luBirthdeathDynamicsSampling2023,
  title         = {Birth-Death Dynamics for Sampling: {{Global}} Convergence, Approximations and Their Asymptotics},
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  author        = {Lu, Yulong and Slep{\v c}ev, Dejan and Wang, Lihan},
  year          = {2023},
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  journal       = {Nonlinearity},
  volume        = {36},
  number        = {11},
  eprint        = {2211.00450},
  primaryclass  = {math, stat},
  pages         = {5731--5772},
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  doi           = {10.1088/1361-6544/acf988},
  urldate       = {2023-12-25},
  archiveprefix = {arXiv},
  keywords      = {Mathematics - Analysis of PDEs,Mathematics - Probability,Statistics - Machine Learning}
}
@article{mielke2025hellinger,
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@article{wang2022exponentially,
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@article{gaoDistributionallyRobustStochastic2016,
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@article{zhaoDatadrivenRiskaverseStochastic2018,
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@article{wang2021sinkhorn,
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@article{sinha2020certifyingdistributionalrobustnessprincipled,
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