% Key papers for High-dimensional estimation theory (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2019_alista_28748,
  title = {{ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/803},
}

@inproceedings{neurips2017_learning_56423,
  title = {{Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8906},
}

@inproceedings{cvpr2020_quasi_16078,
  title = {{Quasi-Newton Solver for Robust Non-Rigid Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2018_leveraged_57334,
  title = {{Leveraged volume sampling for linear regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11259},
}

@inproceedings{icml2016_estimating_35822,
  title = {{Estimating Structured Vector Autoregressive Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/melnyk16.html},
}

@inproceedings{neurips2019_algorithmic_57885,
  title = {{Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13974},
}

@inproceedings{icml2019_measurements_37537,
  title = {{Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3758},
}

@inproceedings{neurips2016_mixed_55876,
  title = {{Mixed Linear Regression with Multiple Components}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7134},
}

@inproceedings{neurips2019_the_59063,
  title = {{The Impact of Regularization on High-dimensional Logistic Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14170},
}

@inproceedings{neurips2017_translation_56739,
  title = {{Translation Synchronization via Truncated Least Squares}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8937},
}

@inproceedings{icml2019_loss_37520,
  title = {{Loss Landscapes of Regularized Linear Autoencoders}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4260},
}

@inproceedings{neurips2017_solving_56675,
  title = {{Solving Most Systems of Random Quadratic Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8976},
}

@inproceedings{cvpr2016_trace_11932,
  title = {{Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{neurips2016_average_55588,
  title = {{Average-case hardness of RIP certification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7389},
}

@inproceedings{neurips2016_optimal_55924,
  title = {{Optimal spectral transportation with application to music transcription}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7108},
}

@inproceedings{neurips2017_generalized_56339,
  title = {{Generalized Linear Model Regression under Distance-to-set Penalties}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8930},
}

@inproceedings{neurips2019_the_59077,
  title = {{The spiked matrix model with generative priors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13900},
}

@inproceedings{neurips2019_handling_58364,
  title = {{Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13558},
}

@inproceedings{neurips2020_node_60428,
  title = {{Node Embeddings and Exact Low-Rank Representations of Complex Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17940},
}

@inproceedings{icml2020_message_38446,
  title = {{Message Passing Least Squares Framework and its Application to Rotation Synchronization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6785},
}

@inproceedings{aaai2025_neural_10107,
  title = {{Neural Networks Perform Sufficient Dimension Reduction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35486},
}

@inproceedings{aaai2024_exploiting_5904,
  title = {{Exploiting Data Geometry in Machine Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30297},
}

@inproceedings{iclr2024_what_35095,
  title = {{What's in a Prior? Learned Proximal Networks for Inverse Problems}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17978},
}

@inproceedings{icml2024_inferring_43296,
  title = {{Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35156},
}

@inproceedings{icml2024_spectral_44565,
  title = {{Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33887},
}

@inproceedings{neurips2025_stnet_79277,
  title = {{STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=nimTd1IJz1},
}

@inproceedings{aaai2025_multi_10034,
  title = {{Multi-Subspace Matrix Recovery from Permuted Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35471},
}

@inproceedings{cvpr2024_efficient_23329,
  title = {{Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29927},
}

@inproceedings{icml2024_inferring_44115,
  title = {{Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34337},
}

@inproceedings{icml2024_distributed_44318,
  title = {{Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34134},
}

@inproceedings{icml2026_learning_53084,
  title = {{Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=bvNGrd4UxO},
}

@inproceedings{icml2026_local_54672,
  title = {{Local Hessian Spectral Filtering for Robust Intrinsic Dimension Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=rJ2gMA21ZW},
}

@inproceedings{neurips2024_generalized_74154,
  title = {{Generalized Eigenvalue Problems with Generative Priors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93388},
}

@inproceedings{neurips2025_bivariate_74924,
  title = {{Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=2aANZeYgxS},
}

@inproceedings{neurips2025_time_75918,
  title = {{Time-Embedded Algorithm Unrolling for Computational MRI}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=DcFoi71Fgf},
}

@inproceedings{neurips2025_partial_76601,
  title = {{Partial Correlation Network Estimation by Semismooth Newton Methods}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=L3UfIfNxb7},
}

@inproceedings{neurips2025_on_77586,
  title = {{On the Emergence of Linear Analogies in Word Embeddings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=VV1HfpDCF1},
}

@inproceedings{neurips2025_optimal_77954,
  title = {{Optimal Spectral Transitions in High-Dimensional Multi-Index Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=ZZMkEooail},
}

@inproceedings{icml2025_be_47806,
  title = {{Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44794},
}

@inproceedings{icml2025_dimensionality_49040,
  title = {{Dimensionality Reduction on Complex Vector Spaces for Euclidean Distance with Dynamic Weights}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43584},
}