% Key papers for Structured low-rank learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_recognizing_11794,
  title = {{Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{aaai2016_top_104724,
  title = {{Top-N Recommender System via Matrix Completion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/9967},
}

@inproceedings{cvpr2022_moving_19370,
  title = {{Moving Window Regression: A Novel Approach to Ordinal Regression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2016_multi_105089,
  title = {{Multi-Stage Multi-Task Learning with Reduced Rank}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10261},
}

@inproceedings{aaai2017_low_105716,
  title = {{Low-Rank Linear Cold-Start Recommendation from Social Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10758},
}

@inproceedings{aaai2020_fast_101891,
  title = {{Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5751},
}

@inproceedings{aaai2018_confidence_99803,
  title = {{Confidence-Aware Matrix Factorization for Recommender Systems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11251},
}

@inproceedings{aaai2017_low_104492,
  title = {{Low-Rank Factorization of Determinantal Point Processes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10869},
}

@inproceedings{neurips2016_blind_55606,
  title = {{Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7072},
}

@inproceedings{icml2018_sql_36971,
  title = {{SQL-Rank: A Listwise Approach to Collaborative Ranking}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2098},
}

@inproceedings{cvpr2017_revisiting_12584,
  title = {{Revisiting Metric Learning for SPD Matrix Based Visual Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{aaai2018_ranking_101017,
  title = {{Ranking Wily People Who Rank Each Other}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11467},
}

@inproceedings{aaai2017_matrix_104601,
  title = {{Matrix Factorisation for Scalable Energy Breakdown}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11179},
}

@inproceedings{neurips2017_mixture_56478,
  title = {{Mixture-Rank Matrix Approximation for Collaborative Filtering}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8844},
}

@inproceedings{neurips2017_svd_56642,
  title = {{SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9321},
}

@inproceedings{aaai2019_holographic_101733,
  title = {{Holographic Factorization Machines for Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4448},
}

@inproceedings{aaai2023_efficient_3556,
  title = {{Efficient Top-K Feature Selection Using Coordinate Descent Method}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26258},
}

@inproceedings{neurips2016_kronecker_55803,
  title = {{Kronecker Determinantal Point Processes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7235},
}

@inproceedings{cvpr2017_kernel_12376,
  title = {{Kernel Square-Loss Exemplar Machines for Image Retrieval}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{aaai2019_near_101636,
  title = {{Near-Neighbor Methods in Random Preference Completion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4343},
}

@inproceedings{iclr2024_hyperattention_33977,
  title = {{HyperAttention: Long-context Attention in Near-Linear Time}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19098},
}

@inproceedings{neurips2024_lorann_74462,
  title = {{LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93112},
}

@inproceedings{icml2024_algorithm_45385,
  title = {{Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33066},
}

@inproceedings{neurips2024_an_70755,
  title = {{An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96371},
}

@inproceedings{neurips2025_purifying_79002,
  title = {{Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=kePsKwxvaV},
}

@inproceedings{icml2024_efficient_44748,
  title = {{Efficient Pareto Manifold Learning with Low-Rank Structure}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33704},
}

@inproceedings{icml2025_a_45943,
  title = {{A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46603},
}

@inproceedings{icml2025_rank_46039,
  title = {{Rank-One Modified Value Iteration}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46510},
}

@inproceedings{icml2025_efficient_47321,
  title = {{Efficient Network Automatic Relevance Determination}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45268},
}

@inproceedings{icml2025_efficiently_47839,
  title = {{Efficiently Access Diffusion Fisher: Within the Outer Product Span Space}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44763},
}

@inproceedings{icml2025_low_48241,
  title = {{Low-Rank Thinning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44371},
}

@inproceedings{icml2025_model_48903,
  title = {{Model Immunization from a Condition Number Perspective}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43720},
}

@inproceedings{icml2026_gaming_51457,
  title = {{Gaming Consensus: Coordinated Manipulation in Crowdsourced Fact-Checking}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=MMmO3hxYsK},
}

@inproceedings{neurips2024_on_71197,
  title = {{On Socially Fair Low-Rank Approximation and Column Subset Selection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96034},
}

@inproceedings{neurips2024_metric_73566,
  title = {{Metric Transforms and Low Rank Representations of Kernels for Fast Attention}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93915},
}

@inproceedings{neurips2025_low_74849,
  title = {{Low-Rank Graphon Learning for Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=1n5TJh3LEb},
}

@inproceedings{neurips2025_semi_76118,
  title = {{Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=FhJLFLPqH5},
}

@inproceedings{iclr2025_fitting_81235,
  title = {{Fitting Networks with a Cancellation Trick}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30535},
}

@inproceedings{iclr2025_faster_81301,
  title = {{Faster Algorithms for Structured Linear and Kernel Support Vector Machines}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30470},
}

@inproceedings{iclr2025_a_82729,
  title = {{A New Perspective on Shampoo's Preconditioner}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29069},
}