Max-Linear Regression by Convex Programming - Seonho Kim; Sohail Bahmani; Kiryung Lee (IEEE Trans. Inf. Theory, 2024)

A Fundamental Accuracy-Robustness Trade-off in Regression and Classification - Sohail Bahmani (CoRR, 2024)

Low-Rank Matrix Estimation from Rank-One Projections by Unlifted Convex Optimization - Sohail Bahmani; Kiryung Lee (SIAM J. Matrix Anal. Appl., 2021)

Max-Linear Regression by Scalable and Guaranteed Convex Programming - Seonho Kim; Sohail Bahmani; Kiryung Lee (CoRR, 2021)

Decentralized Feature-Distributed Optimization for Generalized Linear Models - Brighton Ancelin; Sohail Bahmani; Justin Romberg (CoRR, 2021)

Low-Rank Matrix Estimation From Rank-One Projections by Unlifted Convex Optimization - Sohail Bahmani; Kiryung Lee (CoRR, 2020)

Solving Equations of Random Convex Functions via Anchored Regression - Sohail Bahmani; Justin Romberg (Found. Comput. Math., 2019)

Convex Programming for Estimation in Nonlinear Recurrent Models - Sohail Bahmani; Justin Romberg (CoRR, 2019)

Phase Retrieval of Low-Rank Matrices by Anchored Regression - Kiryung Lee; Sohail Bahmani; Yonina C. Eldar; Justin Romberg (CoRR, 2019)

Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs - Sohail Bahmani; Justin Romberg; Prasad Tetali (IEEE Trans. Netw. Sci. Eng., 2018)

Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression - Sohail Bahmani (CoRR, 2018)

Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation - Sohail Bahmani; Justin Romberg (Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, 2017)

Anchored Regression: Solving Random Convex Equations via Convex Programming - Sohail Bahmani; Justin Romberg (CoRR, 2017)

Learning Model-Based Sparsity via Projected Gradient Descent - Sohail Bahmani; Petros T. Boufounos; Bhiksha Raj (IEEE Trans. Inf. Theory, 2016)

Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation - Sohail Bahmani; Justin Romberg (CoRR, 2016)

Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs - Sohail Bahmani; Justin K. Romberg; Prasad Tetali (CoRR, 2016)

Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation - Sohail Bahmani; Justin K. Romberg (SIAM J. Imaging Sci., 2015)

Compressive Deconvolution in Random Mask Imaging - Sohail Bahmani; Justin Romberg (IEEE Trans. Computational Imaging, 2015)

Sketching for simultaneously sparse and low-rank covariance matrices - Sohail Bahmani; Justin K. Romberg (6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015, Cancun, Mexico, December 13-16, 2015, 2015)

Efficient Compressive Phase Retrieval with Constrained Sensing Vectors - Sohail Bahmani; Justin K. Romberg (Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, 2015)

Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation - Sohail Bahmani; Justin K. Romberg (CoRR, 2015)

Near-Optimal Estimation of Simultaneously Sparse and Low-Rank Matrices from Nested Linear Measurements - Sohail Bahmani; Justin K. Romberg (CoRR, 2015)

Efficient Compressive Phase Retrieval with Constrained Sensing Vectors - Sohail Bahmani; Justin K. Romberg (CoRR, 2015)

Sketching for Simultaneously Sparse and Low-Rank Covariance Matrices - Sohail Bahmani; Justin K. Romberg (CoRR, 2015)

Compressive Deconvolution in Random Mask Imaging - Sohail Bahmani; Justin K. Romberg (CoRR, 2014)

Greedy sparsity-constrained optimization - Sohail Bahmani; Bhiksha Raj; Petros T. Boufounos (J. Mach. Learn. Res., 2013)

A tightest convex envelope heuristic to row sparse and rank one matrices - Alireza Aghasi; Sohail Bahmani; Justin K. Romberg (IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013, Austin, TX, USA, December 3-5, 2013, 2013)

Robust 1-bit Compressive Sensing via Gradient Support Pursuit - Sohail Bahmani; Petros T. Boufounos; Bhiksha Raj (CoRR, 2013)

Informedia @TRECVID 2012 - Shoou-I Yu; Zhongwen Xu; Duo Ding; Waito Sze; Francisco Vicente; Zhenzhong Lan; Yang Cai; Shourabh Rawat; Peter F. Schulam; Nisarga Markandaiah; Sohail Bahmani; Antonio Juárez; et al. (2012 TREC Video Retrieval Evaluation, TRECVID 2012, Gaithersburg, MD, USA, November 26-28, 2012, 2012)

Learning Model-Based Sparsity via Projected Gradient Descent - Sohail Bahmani; Petros T. Boufounos; Bhiksha Raj (CoRR, 2012)

Greedy sparsity-constrained optimization - Sohail Bahmani; Petros Boufounos; Bhiksha Raj (Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers, ACSCC 2011, Pacific Grove, CA, USA, November 6-9, 2011, 2011)

A Unifying Analysis of Projected Gradient Descent for ell_p-constrained Least Squares - Sohail Bahmani; Bhiksha Raj (CoRR, 2011)

Joint Decoding of Unequally Protected JPEG2000 Bitstreams and Reed-Solomon Codes - Sohail Bahmani; Ivan V. Bajic; Atousa Hajshirmohammadi (IEEE Trans. Image Process., 2010)

Improved Joint Source-Channel Decoding of JPEG2000 Images and Reed-Solomon Codes - Sohail Bahmani; Ivan V. Bajic; Atousa Hajshirmohammadi (Proceedings of IEEE International Conference on Communications, ICC 2009, Dresden, Germany, 14-18 June 2009, 2009)

Joint source-chanel decoding of JPEG2000 images with unequal loss protection - Sohail Bahmani; Ivan V. Bajic; Atousa Hajshirmohammadi (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, 2008)