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 |