% Key papers for Randomized tensor decomposition algorithms (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2018_low_57348,
  title = {{Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11957},
}

@inproceedings{neurips2017_on_56530,
  title = {{On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9174},
}

@inproceedings{neurips2016_sublinear_56025,
  title = {{Sublinear Time Orthogonal Tensor Decomposition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7155},
}

@inproceedings{neurips2016_spals_55973,
  title = {{SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7354},
}

@inproceedings{aaai2019_a_100611,
  title = {{A Recursive Algorithm for Projected Model Counting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3967},
}

@inproceedings{neurips2018_legendre_57333,
  title = {{Legendre Decomposition for Tensors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11841},
}

@inproceedings{neurips2018_statistical_57647,
  title = {{Statistical mechanics of low-rank tensor decomposition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11785},
}

@inproceedings{icml2017_orthogonalized_36334,
  title = {{Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/500},
}

@inproceedings{icml2016_tensor_36001,
  title = {{Tensor Decomposition via Joint Matrix Schur Decomposition}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/colombo16.html},
}

@inproceedings{icml2017_tensor_36421,
  title = {{Tensor Decomposition via Simultaneous Power Iteration}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/560},
}

@inproceedings{neurips2021_fast_61592,
  title = {{Fast and accurate randomized algorithms for low-rank tensor decompositions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28543},
}

@inproceedings{icml2016_beyond_35754,
  title = {{Beyond CCA: Moment Matching for Multi-View Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/podosinnikova16.html},
}

@inproceedings{neurips2020_provable_60631,
  title = {{Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18911},
}

@inproceedings{aaai2022_handling_2181,
  title = {{Handling Slice Permutations Variability in Tensor Recovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03499-handling-slice-permutations-variability-in-tensor-recovery/},
}

@inproceedings{icml2020_adaptive_37912,
  title = {{Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6133},
}

@inproceedings{neurips2017_unified_56745,
  title = {{Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9213},
}

@inproceedings{neurips2018_smoothed_57630,
  title = {{Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/12026},
}

@inproceedings{icml2017_tensor_36419,
  title = {{Tensor Balancing on Statistical Manifold}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/631},
}

@inproceedings{aaai2020_beyond_102028,
  title = {{Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5890},
}

@inproceedings{aaai2017_bilinear_104440,
  title = {{Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10817},
}

@inproceedings{neurips2024_efficient_73247,
  title = {{Efficient Leverage Score Sampling for Tensor Train Decomposition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94191},
}

@inproceedings{cvpr2024_cursor_22937,
  title = {{CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30890},
}

@inproceedings{icml2024_fast_45581,
  title = {{Fast Sampling-Based Sketches for Tensors}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32871},
}

@inproceedings{neurips2024_statistical_72542,
  title = {{Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94828},
}

@inproceedings{iclr2026_subspace_88264,
  title = {{Subspace Kernel Learning on Tensor Sequences}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=kv22NbU2T2},
}

@inproceedings{cvpr2026_quadsync_97891,
  title = {{QuadSync: Quadrifocal Tensor Synchronization via Tucker Decomposition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Miao_QuadSync_Quadrifocal_Tensor_Synchronization_via_Tucker_Decomposition_CVPR_2026_paper.html},
}