| Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing | Zhiqi Bu · Jason Klusowski · Cynthia Rush · Weijie Su |
| Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors | Gauri Jagatap · Chinmay Hegde |
| Block Coordinate Regularization by Denoising | Yu Sun · Jiaming Liu · Ulugbek Kamilov |
| Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso | Quentin Bertrand · Mathurin Massias · Alexandre Gramfort · Joseph Salmon |
| Efficiently Learning Fourier Sparse Set Functions | Andisheh Amrollahi · Amir Zandieh · Michael Kapralov · Andreas Krause |
| Fast Sparse Group Lasso | Yasutoshi Ida · Yasuhiro Fujiwara · Hisashi Kashima |
| Global Guarantees for Blind Demodulation with Generative Priors | Paul Hand · Babhru Joshi |
| Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space | Shuo Yang · Yanyao Shen · Sujay Sanghavi |
| Inverting Deep Generative models, One layer at a time | Qi Lei · Ajil Jalal · Inderjit S Dhillon · Alexandros Dimakis |
| Manifold denoising by Nonlinear Robust Principal Component Analysis | He Lyu · Ningyu Sha · Shuyang Qin · Ming Yan · Yuying Xie · Rongrong Wang |
| Rethinking the CSC Model for Natural Images | Dror Simon · Michael Elad |
| Sample Complexity of Learning Mixture of Sparse Linear Regressions | Akshay Krishnamurthy · Arya Mazumdar · Andrew McGregor · Soumyabrata Pal |
| Sampling Sketches for Concave Sublinear Functions of Frequencies | Edith Cohen · Ofir Geri |
| Screening Sinkhorn Algorithm for Regularized Optimal Transport | Mokhtar Z. Alaya · Maxime Berar · Gilles Gasso · Alain Rakotomamonjy |
| Solving graph compression via optimal transport | Vikas Garg · Tommi Jaakkola |
| Superset Technique for Approximate Recovery in One-Bit Compressed Sensing | Larkin Flodin · Venkata Gandikota · Arya Mazumdar |
| Universality in Learning from Linear Measurements | Ehsan Abbasi · Fariborz Salehi · Babak Hassibi |