% Key papers for Sparse regression with guarantees (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{icml2016_pd_35941, title = {{PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2016}, url = {https://proceedings.mlr.press/v48/yenb16.html}, } @inproceedings{aaai2017_learning_104443, title = {{Learning Sparse Task Relations in Multi-Task Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10820}, } @inproceedings{aaai2018_sc2net_102454, title = {{SC2Net: Sparse LSTMs for Sparse Coding}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11721}, } @inproceedings{cvpr2016_equiangular_11530, title = {{Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{neurips2016_selective_55988, title = {{Selective inference for group-sparse linear models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2016}, url = {https://nips.cc/virtual/2016/poster/7393}, } @inproceedings{neurips2016_gap_55744, title = {{GAP Safe Screening Rules for Sparse-Group Lasso}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2016}, url = {https://nips.cc/virtual/2016/poster/7112}, } @inproceedings{cvpr2017_low_12443, title = {{Low-Rank-Sparse Subspace Representation for Robust Regression}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{iclr2018_a_28412, title = {{A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018}, url = {https://iclr.cc/virtual/2018/poster/96}, } @inproceedings{icml2016_sparse_35982, title = {{Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2016}, url = {https://proceedings.mlr.press/v48/yangc16.html}, } @inproceedings{icml2019_large_37468, title = {{Large-Scale Sparse Kernel Canonical Correlation Analysis}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2019}, url = {https://icml.cc/virtual/2019/poster/3793}, } @inproceedings{iclr2020_sparse_29372, title = {{Sparse Coding with Gated Learned ISTA}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=BygPO2VKPH}, } @inproceedings{aaai2021_learned_858, title = {{Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/08501-learned-extragradient-ista-with-interpretable-residual-structures-for-sparse-coding/}, } @inproceedings{cvpr2019_low_14483, title = {{Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{neurips2016_exact_55715, title = {{Exact Recovery of Hard Thresholding Pursuit}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2016}, url = {https://nips.cc/virtual/2016/poster/7296}, } @inproceedings{neurips2016_learning_55835, title = {{Learning brain regions via large-scale online structured sparse dictionary learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2016}, url = {https://nips.cc/virtual/2016/poster/7005}, } @inproceedings{neurips2019_fast_58262, title = {{Fast Sparse Group Lasso}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13379}, } @inproceedings{cvpr2016_subspace_11902, title = {{Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{aaai2017_mpgl_104442, title = {{MPGL: An Efficient Matching Pursuit Method for Generalized LASSO}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10819}, } @inproceedings{icml2018_signal_36987, title = {{Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2018}, url = {https://icml.cc/virtual/2018/poster/2315}, } @inproceedings{icml2016_experimental_35827, title = {{Experimental Design on a Budget for Sparse Linear Models and Applications}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2016}, url = {https://proceedings.mlr.press/v48/ravi16.html}, } @inproceedings{aaai2024_secure_7277, title = {{Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29357}, } @inproceedings{neurips2024_block_72806, title = {{Block Sparse Bayesian Learning: A Diversified Scheme}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94591}, } @inproceedings{aaai2024_efficient_5808, title = {{Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29356}, } @inproceedings{icml2024_fast_45631, title = {{Fast White-Box Adversarial Streaming Without a Random Oracle}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/32821}, } @inproceedings{icml2026_toward_54182, title = {{Toward Identifiable Sparse Autoencoders}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=miLK9YcxtA}, } @inproceedings{neurips2024_adversarially_71766, title = {{Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95523}, } @inproceedings{neurips2024_the_74172, title = {{The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93373}, } @inproceedings{neurips2025_foundations_76151, title = {{Foundations of Top-\$k\$ Decoding for Language Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=G7CiAs8xyw}, } @inproceedings{iclr2025_global_80775, title = {{Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/30993}, } @inproceedings{neurips2026_winning_94176, title = {{Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical Algorithm}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/149134}, } @inproceedings{aaai2026_positive_107101, title = {{Positive Definite Sparse Covariance Estimation via Dual Space Optimization}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/39453}, } @inproceedings{icml2024_an_43514, title = {{An Iterative Min-Min Optimization Method for Sparse Bayesian Learning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34938}, } @inproceedings{icml2024_sparse_45636, title = {{Sparse Dimensionality Reduction Revisited}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/32816}, } @inproceedings{icml2026_column_54101, title = {{Column Thresholding for Sparse Spiked Wigner Models: Improved Signal Strength Requirements}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=lsnjzAuTZj}, } @inproceedings{neurips2024_distributed_70830, title = {{Distributed Sparse Regression via Penalization}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/98302}, } @inproceedings{neurips2026_can_90530, title = {{Can Metadata Fix the Gauge? Calibration Turns Sparse Multi-Source Learning from Sparse PCA into Sparse Mean Recovery}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/152833}, }