% Key papers for Determinantal point process inference (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_stegastamp_16283,
  title = {{StegaStamp: Invisible Hyperlinks in Physical Photographs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2018_fast_57127,
  title = {{Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11548},
}

@inproceedings{neurips2017_coded_56195,
  title = {{Coded Distributed Computing for Inverse Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8866},
}

@inproceedings{neurips2016_fast_55723,
  title = {{Fast Active Set Methods for Online Spike Inference from Calcium Imaging}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7074},
}

@inproceedings{icml2016_parallel_35943,
  title = {{Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/wangd16.html},
}

@inproceedings{aaai2021_bringing_216,
  title = {{Bringing UMAP Closer to the Speed of Light with GPU Acceleration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00418-bringing-umap-closer-to-the-speed-of-light-with-gpu-acceleration/},
}

@inproceedings{icml2018_multi_36859,
  title = {{Multi-Fidelity Black-Box Optimization with Hierarchical Partitions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2264},
}

@inproceedings{aaai2022_stability_2775,
  title = {{Stability Verification in Stochastic Control Systems via Neural Network Supermartingales}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/07326-stability-verification-in-stochastic-control-systems-via-neural-network-supermartingales/},
}

@inproceedings{iclr2021_randomized_30085,
  title = {{Randomized Ensembled Double Q-Learning: Learning Fast Without a Model}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3320},
}

@inproceedings{cvpr2020_learning_15821,
  title = {{Learning to Optimize on SPD Manifolds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2018_non_57441,
  title = {{Non-delusional Q-learning and value-iteration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11944},
}

@inproceedings{neurips2021_meta_63140,
  title = {{Meta-Adaptive Nonlinear Control: Theory and Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26002},
}

@inproceedings{cvpr2018_spline_13606,
  title = {{Spline Error Weighting for Robust Visual-Inertial Fusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Ovren_Spline_Error_Weighting_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_iterative_14340,
  title = {{Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2019_learning_58497,
  title = {{Learning Nonsymmetric Determinantal Point Processes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13778},
}

@inproceedings{neurips2018_contour_56978,
  title = {{Contour location via entropy reduction leveraging multiple information sources}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11510},
}

@inproceedings{aaai2021_consistent_298,
  title = {{Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06084-consistent-right-invariant-fixed-lag-smoother-with-application-to-visual-inertial-slam/},
}

@inproceedings{icml2021_conservative_39165,
  title = {{Conservative Objective Models for Effective Offline Model-Based Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9385},
}

@inproceedings{neurips2019_detox_58077,
  title = {{DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14046},
}

@inproceedings{aaai2019_scalable_100191,
  title = {{Scalable Robust Kidney Exchange}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3899},
}

@inproceedings{aaai2024_optimizing_6875,
  title = {{Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28651},
}

@inproceedings{aaai2024_runtime_7192,
  title = {{Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30055},
}

@inproceedings{neurips2024_minimum_72716,
  title = {{Minimum Entropy Coupling with Bottleneck}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94672},
}

@inproceedings{aaai2025_b2opt_8208,
  title = {{B2Opt: Learning to Optimize Black-box Optimization with Little Budget}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34036},
}

@inproceedings{neurips2024_differentiable_71333,
  title = {{Differentiable Quantum Computing for Large-scale Linear Control}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95915},
}

@inproceedings{aaai2024_sample_7252,
  title = {{Sample-Constrained Black Box Optimization for Audio Personalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28881},
}

@inproceedings{aaai2025_scalable_10671,
  title = {{Scalable Acceleration for Classification-Based Derivative-Free Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33874},
}

@inproceedings{neurips2024_fast_70771,
  title = {{Fast Channel Simulation via Error-Correcting Codes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96356},
}

@inproceedings{neurips2024_conformal_72659,
  title = {{Conformal Inverse Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94725},
}

@inproceedings{neurips2024_small_73533,
  title = {{Small coresets via negative dependence: DPPs, linear statistics, and concentration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93945},
}

@inproceedings{aaai2025_revelations_10547,
  title = {{Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34845},
}

@inproceedings{iclr2024_relaxing_34822,
  title = {{Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18252},
}

@inproceedings{icml2026_an_53324,
  title = {{An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=eTUljZ6e8c},
}

@inproceedings{neurips2024_computation_74200,
  title = {{Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93350},
}

@inproceedings{aaai2025_generalized_9318,
  title = {{Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33704},
}

@inproceedings{icml2024_position_44210,
  title = {{Position: Optimization in SciML Should Employ the Function Space Geometry}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34242},
}

@inproceedings{icml2025_efficiently_47053,
  title = {{Efficiently Vectorized MCMC on Modern Accelerators}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45532},
}

@inproceedings{icml2025_unified_47141,
  title = {{Unified Breakdown Analysis for Byzantine Robust Gossip}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45446},
}

@inproceedings{icml2025_a_47392,
  title = {{A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45200},
}

@inproceedings{icml2025_fully_48908,
  title = {{Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43715},
}