% Key papers for Langevin sampling for nonconvex problems (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2019_rapid_58878,
  title = {{Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13882},
}

@inproceedings{neurips2019_stochastic_59027,
  title = {{Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14557},
}

@inproceedings{neurips2020_continuous_59591,
  title = {{Continuous Regularized Wasserstein Barycenters}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17060},
}

@inproceedings{iclr2019_accelerating_29037,
  title = {{ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/894},
}

@inproceedings{icml2019_non_37578,
  title = {{Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3559},
}

@inproceedings{neurips2020_primal_60609,
  title = {{Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18712},
}

@inproceedings{neurips2018_global_57179,
  title = {{Global Non-convex Optimization with Discretized Diffusions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11919},
}

@inproceedings{neurips2021_non_61794,
  title = {{Non-asymptotic convergence bounds for Wasserstein approximation using point clouds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/25983},
}

@inproceedings{neurips2019_stochastic_59026,
  title = {{Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14542},
}

@inproceedings{neurips2021_particle_62987,
  title = {{Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26255},
}

@inproceedings{neurips2021_efficient_63441,
  title = {{Efficient constrained sampling via the mirror-Langevin algorithm}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28852},
}

@inproceedings{neurips2018_gen_57157,
  title = {{Gen-Oja: Simple \& Efficient Algorithm for Streaming Generalized Eigenvector Computation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11676},
}

@inproceedings{neurips2024_in_72841,
  title = {{In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94559},
}

@inproceedings{cvpr2018_continuous_12923,
  title = {{Continuous Relaxation of MAP Inference: A Nonconvex Perspective}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Le-Huu_Continuous_Relaxation_of_CVPR_2018_paper.html},
}

@inproceedings{icml2021_optimal_39745,
  title = {{Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10669},
}

@inproceedings{neurips2019_online_58757,
  title = {{Online sampling from log-concave distributions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13345},
}

@inproceedings{neurips2021_differential_62071,
  title = {{Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28210},
}

@inproceedings{neurips2020_penalized_60577,
  title = {{Penalized Langevin dynamics with vanishing penalty  for smooth and log-concave targets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18752},
}

@inproceedings{aaai2023_fast_3670,
  title = {{Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25723},
}

@inproceedings{aaai2025_convergence_8539,
  title = {{Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33756},
}

@inproceedings{aaai2025_langevin_9697,
  title = {{Langevin Monte Carlo Beyond Lipschitz Gradient Continuity}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33706},
}

@inproceedings{aaai2025_langevin_9698,
  title = {{Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33220},
}

@inproceedings{iclr2024_nearly_35368,
  title = {{Nearly \$d\$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17705},
}

@inproceedings{icml2024_a_43745,
  title = {{A connection between Tempering and Entropic Mirror Descent}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34707},
}

@inproceedings{neurips2024_mean_71962,
  title = {{Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95349},
}

@inproceedings{icml2024_stochastic_45539,
  title = {{Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32913},
}

@inproceedings{icml2025_generalization_46419,
  title = {{Generalization of noisy SGD in unbounded non-convex settings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46146},
}

@inproceedings{icml2025_propagation_47382,
  title = {{Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45210},
}

@inproceedings{icml2026_dc_49318,
  title = {{DC-LA: Difference-of-Convex Langevin Algorithm}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=1JwSFRvC4E},
}

@inproceedings{icml2026_accelerating_50874,
  title = {{Accelerating Langevin Monte Carlo via Efficient Stochastic Runge-Kutta Methods beyond Log-Concavity}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=GakFNj5L2W},
}

@inproceedings{icml2026_mirror_53211,
  title = {{Mirror Mean-Field Langevin Dynamics}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=dIUrE5eR00},
}

@inproceedings{icml2026_stationary_53460,
  title = {{Stationary MMD Points}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=fiTjjAgkiC},
}

@inproceedings{neurips2024_improved_70639,
  title = {{Improved Particle Approximation Error for Mean Field Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96483},
}

@inproceedings{neurips2024_computing_72202,
  title = {{Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95139},
}

@inproceedings{neurips2024_the_72612,
  title = {{The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94766},
}

@inproceedings{neurips2025_advancing_78169,
  title = {{Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=bmH6UgE1z7},
}

@inproceedings{neurips2025_from_79177,
  title = {{From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=mcYO3DccbQ},
}

@inproceedings{neurips2025_statistical_79259,
  title = {{Statistical inference for Linear Stochastic Approximation with Markovian Noise}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=nWTQREGMLG},
}