Sohail Bahmani

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 15

Top Topics

Convex Programming

Top Venues

IEEE Trans. Inf. Theory

Publications

Seonho Kim, Sohail Bahmani, Kiryung Lee
Max-Linear Regression by Convex Programming. IEEE Trans. Inf. Theory 70 (3) (2024)
Seonho Kim, Sohail Bahmani, Kiryung Lee
Max-Linear Regression by Scalable and Guaranteed Convex Programming. CoRR (2021)
Sohail Bahmani, Kiryung Lee
Low-Rank Matrix Estimation from Rank-One Projections by Unlifted Convex Optimization. SIAM J. Matrix Anal. Appl. 42 (3) (2021)
Brighton Ancelin, Sohail Bahmani, Justin Romberg
Decentralized Feature-Distributed Optimization for Generalized Linear Models. CoRR (2021)
Sohail Bahmani, Kiryung Lee
Low-Rank Matrix Estimation From Rank-One Projections by Unlifted Convex Optimization. CoRR (2020)
Kiryung Lee, Sohail Bahmani, Yonina C. Eldar, Justin Romberg
Phase Retrieval of Low-Rank Matrices by Anchored Regression. CoRR (2019)
Sohail Bahmani, Justin Romberg
Solving Equations of Random Convex Functions via Anchored Regression. Found. Comput. Math. 19 (4) (2019)
Sohail Bahmani, Justin Romberg
Convex Programming for Estimation in Nonlinear Recurrent Models. CoRR (2019)
Sohail Bahmani, Justin Romberg, Prasad Tetali
Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs. IEEE Trans. Netw. Sci. Eng. 5 (2) (2018)
Sohail Bahmani
Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression. CoRR (2018)
Sohail Bahmani, Justin Romberg
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation. AISTATS (2017)
Sohail Bahmani, Justin Romberg
Anchored Regression: Solving Random Convex Equations via Convex Programming. CoRR (2017)
Sohail Bahmani, Justin Romberg
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation. CoRR (2016)
Sohail Bahmani, Justin K. Romberg, Prasad Tetali
Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs. CoRR (2016)
Sohail Bahmani, Petros T. Boufounos, Bhiksha Raj
Learning Model-Based Sparsity via Projected Gradient Descent. IEEE Trans. Inf. Theory 62 (4) (2016)
Sohail Bahmani, Justin K. Romberg
Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation. CoRR (2015)
Sohail Bahmani, Justin K. Romberg
Near-Optimal Estimation of Simultaneously Sparse and Low-Rank Matrices from Nested Linear Measurements. CoRR (2015)
Sohail Bahmani, Justin K. Romberg
Sketching for Simultaneously Sparse and Low-Rank Covariance Matrices. CoRR (2015)
Sohail Bahmani, Justin K. Romberg
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors. CoRR (2015)
Sohail Bahmani, Justin Romberg
Compressive Deconvolution in Random Mask Imaging. IEEE Trans. Computational Imaging 1 (4) (2015)
Sohail Bahmani, Justin K. Romberg
Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation. SIAM J. Imaging Sci. 8 (4) (2015)
Sohail Bahmani, Justin K. Romberg
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors. NIPS (2015)
Sohail Bahmani, Justin K. Romberg
Sketching for simultaneously sparse and low-rank covariance matrices. CAMSAP (2015)
Sohail Bahmani, Justin K. Romberg
Compressive Deconvolution in Random Mask Imaging. CoRR (2014)
Sohail Bahmani, Petros T. Boufounos, Bhiksha Raj
Robust 1-bit Compressive Sensing via Gradient Support Pursuit CoRR (2013)
Alireza Aghasi, Sohail Bahmani, Justin K. Romberg
A tightest convex envelope heuristic to row sparse and rank one matrices. GlobalSIP (2013)
Sohail Bahmani, Bhiksha Raj, Petros T. Boufounos
Greedy sparsity-constrained optimization. J. Mach. Learn. Res. 14 (1) (2013)
Sohail Bahmani, Petros T. Boufounos, Bhiksha Raj
Learning Model-Based Sparsity via Projected Gradient Descent CoRR (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, Wei Tong, Yi Yang, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Richard M. Stern, Teruko Mitamura, Eric Nyberg, Lu Jiang, Qiang Chen, Lisa M. Brown, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Shuicheng Yan, Alexander G. Hauptmann, Sharath Pankanti
Informedia @TRECVID 2012. TRECVID (2012)
Sohail Bahmani, Petros Boufounos, Bhiksha Raj
Greedy sparsity-constrained optimization. ACSCC (2011)
Sohail Bahmani, Bhiksha Raj
A Unifying Analysis of Projected Gradient Descent for $ell_p$-constrained Least Squares CoRR (2011)
Sohail Bahmani, Ivan V. Bajic, Atousa Hajshirmohammadi
Joint Decoding of Unequally Protected JPEG2000 Bitstreams and Reed-Solomon Codes. IEEE Trans. Image Process. 19 (10) (2010)
Sohail Bahmani, Ivan V. Bajic, Atousa Hajshirmohammadi
Improved Joint Source-Channel Decoding of JPEG2000 Images and Reed-Solomon Codes. ICC (2009)
Sohail Bahmani, Ivan V. Bajic, Atousa Hajshirmohammadi
Joint source-chanel decoding of JPEG2000 images with unequal loss protection. ICASSP (2008)