% Key papers for RKHS kernel methods (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2019_a_37101,
  title = {{A Kernel Theory of Modern Data Augmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3611},
}

@inproceedings{neurips2018_efficient_57083,
  title = {{Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11859},
}

@inproceedings{neurips2017_kernel_56402,
  title = {{Kernel Feature Selection via Conditional Covariance Minimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9461},
}

@inproceedings{cvpr2016_fast_11546,
  title = {{Fast Algorithms for Linear and Kernel SVM+}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{neurips2021_the_62937,
  title = {{The Inductive Bias of Quantum Kernels}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27858},
}

@inproceedings{icml2016_fast_35836,
  title = {{Fast DPP Sampling for Nystrom with Application to Kernel Methods}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/lih16.html},
}

@inproceedings{icml2017_kernelized_36238,
  title = {{Kernelized Support Tensor Machines}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/516},
}

@inproceedings{neurips2020_kernel_60126,
  title = {{Kernel Methods Through the Roof: Handling Billions of Points Efficiently}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18702},
}

@inproceedings{icml2016_recycling_35964,
  title = {{Recycling Randomness with Structure for Sublinear time Kernel Expansions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/choromanski16.html},
}

@inproceedings{neurips2020_a_59259,
  title = {{A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16840},
}

@inproceedings{aaai2017_infinite_104394,
  title = {{Infinite Kernel Learning: Generalization Bounds and Algorithms}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10771},
}

@inproceedings{neurips2016_convergence_55646,
  title = {{Convergence guarantees for kernel-based quadrature rules in misspecified settings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6959},
}

@inproceedings{neurips2017_falkon_56307,
  title = {{FALKON: An Optimal Large Scale Kernel Method}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9170},
}

@inproceedings{neurips2017_early_56280,
  title = {{Early stopping for kernel boosting algorithms: A general analysis with localized complexities}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9378},
}

@inproceedings{cvpr2016_approximate_11402,
  title = {{Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{neurips2017_efficient_56286,
  title = {{Efficient Second-Order Online Kernel Learning with Adaptive Embedding}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9385},
}

@inproceedings{neurips2018_on_57456,
  title = {{On Fast Leverage Score Sampling and Optimal Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11553},
}

@inproceedings{neurips2019_distributionally_58160,
  title = {{Distributionally Robust Optimization and Generalization in Kernel Methods}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13955},
}

@inproceedings{neurips2017_kernel_56403,
  title = {{Kernel functions based on triplet comparisons}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9448},
}

@inproceedings{neurips2017_on_56534,
  title = {{On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9210},
}

@inproceedings{neurips2024_statistical_72201,
  title = {{Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95140},
}

@inproceedings{iclr2024_the_34145,
  title = {{The optimality of kernel classifiers in Sobolev space}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18930},
}

@inproceedings{neurips2024_supervised_70553,
  title = {{Supervised Kernel Thinning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96561},
}

@inproceedings{neurips2024_efficient_70846,
  title = {{Efficient Convex Algorithms for Universal Kernel Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/98322},
}

@inproceedings{neurips2025_regularized_77426,
  title = {{Regularized least squares learning with heavy-tailed noise is minimax optimal}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=TjQP5hc3WC},
}

@inproceedings{aaai2024_inducing_6318,
  title = {{Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29279},
}

@inproceedings{icml2024_debiased_44136,
  title = {{Debiased Distribution Compression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34316},
}

@inproceedings{icml2025_kernel_46327,
  title = {{Kernel Quantile Embeddings and Associated Probability Metrics}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46234},
}

@inproceedings{icml2025_the_47852,
  title = {{The Price of Linear Time: Error Analysis of Structured Kernel Interpolation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44750},
}

@inproceedings{icml2025_learning_48004,
  title = {{Learning with Exact Invariances in Polynomial Time}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44601},
}

@inproceedings{icml2026_alignment_49635,
  title = {{Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=4HrWo5x7YF},
}

@inproceedings{icml2026_fast_51877,
  title = {{Fast kernel methods: Sobolev, physics-informed, and additive models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=QiDicUd6PB},
}

@inproceedings{icml2026_gp2scale_55289,
  title = {{gp2Scale: A Class of Compactly Supported Non-Stationary Kernels and Distributed Computing for Exact Gaussian Processes on 10 Million Data Points}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=xLnzdfOS6r},
}

@inproceedings{neurips2024_the_71648,
  title = {{The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95630},
}

@inproceedings{neurips2024_scalable_71801,
  title = {{Scalable Kernel Inverse Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95494},
}

@inproceedings{neurips2024_inverse_73409,
  title = {{Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94050},
}

@inproceedings{neurips2025_optimal_75532,
  title = {{Optimal kernel regression bounds under energy-bounded noise}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=9BpefUVeDP},
}

@inproceedings{neurips2025_computational_77404,
  title = {{Computational Efficiency under Covariate Shift in Kernel Ridge Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=TU2MZHZLkP},
}

@inproceedings{neurips2025_conditional_77650,
  title = {{Conditional Distribution Compression via the Kernel Conditional Mean Embedding}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=W2Ntqsq97T},
}

@inproceedings{iclr2025_fast_83108,
  title = {{Fast Summation of Radial Kernels via QMC Slicing}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28699},
}