Sohail Bahmani

35 papers A 1Misc 1Journal 27Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Fundamental Accuracy-Robustness Trade-off in Regression and Classification. CoRR Sohail Bahmani
2024	J	`jnl`	Max-Linear Regression by Convex Programming. IEEE Trans. Inf. Theory Seonho Kim, Sohail Bahmani, Kiryung Lee
2021	J	`jnl`	Decentralized Feature-Distributed Optimization for Generalized Linear Models. CoRR Brighton Ancelin, Sohail Bahmani, Justin Romberg
2021	J	`jnl`	Low-Rank Matrix Estimation from Rank-One Projections by Unlifted Convex Optimization. SIAM J. Matrix Anal. Appl. Sohail Bahmani, Kiryung Lee
2021	J	`jnl`	Max-Linear Regression by Scalable and Guaranteed Convex Programming. CoRR Seonho Kim, Sohail Bahmani, Kiryung Lee
2020	J	`jnl`	Low-Rank Matrix Estimation From Rank-One Projections by Unlifted Convex Optimization. CoRR Sohail Bahmani, Kiryung Lee
2019	J	`jnl`	Convex Programming for Estimation in Nonlinear Recurrent Models. CoRR Sohail Bahmani, Justin Romberg
2019	J	`jnl`	Phase Retrieval of Low-Rank Matrices by Anchored Regression. CoRR Kiryung Lee, Sohail Bahmani, Yonina C. Eldar, Justin Romberg
2019	J	`jnl`	Solving Equations of Random Convex Functions via Anchored Regression. Found. Comput. Math. Sohail Bahmani, Justin Romberg
2018	J	`jnl`	Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs. IEEE Trans. Netw. Sci. Eng. Sohail Bahmani, Justin Romberg, Prasad Tetali
2018	J	`jnl`	Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression. CoRR Sohail Bahmani
2017	J	`jnl`	Anchored Regression: Solving Random Convex Equations via Convex Programming. CoRR Sohail Bahmani, Justin Romberg
2017	A	`conf`	Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation. AISTATS Sohail Bahmani, Justin Romberg
2016	J	`jnl`	Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs. CoRR Sohail Bahmani, Justin K. Romberg, Prasad Tetali
2016	J	`jnl`	Learning Model-Based Sparsity via Projected Gradient Descent. IEEE Trans. Inf. Theory Sohail Bahmani, Petros T. Boufounos, Bhiksha Raj
2016	J	`jnl`	Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation. CoRR Sohail Bahmani, Justin Romberg
2015	J	`jnl`	Compressive Deconvolution in Random Mask Imaging. IEEE Trans. Computational Imaging Sohail Bahmani, Justin Romberg
2015	—	`conf`	Efficient Compressive Phase Retrieval with Constrained Sensing Vectors. NIPS Sohail Bahmani, Justin K. Romberg
2015	J	`jnl`	Efficient Compressive Phase Retrieval with Constrained Sensing Vectors. CoRR Sohail Bahmani, Justin K. Romberg
2015	J	`jnl`	Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation. CoRR Sohail Bahmani, Justin K. Romberg
2015	J	`jnl`	Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation. SIAM J. Imaging Sci. Sohail Bahmani, Justin K. Romberg
2015	J	`jnl`	Near-Optimal Estimation of Simultaneously Sparse and Low-Rank Matrices from Nested Linear Measurements. CoRR Sohail Bahmani, Justin K. Romberg
2015	J	`jnl`	Sketching for Simultaneously Sparse and Low-Rank Covariance Matrices. CoRR Sohail Bahmani, Justin K. Romberg
2015	—	`conf`	Sketching for simultaneously sparse and low-rank covariance matrices. CAMSAP Sohail Bahmani, Justin K. Romberg
2014	J	`jnl`	Compressive Deconvolution in Random Mask Imaging. CoRR Sohail Bahmani, Justin K. Romberg
2013	—	`conf`	A tightest convex envelope heuristic to row sparse and rank one matrices. GlobalSIP Alireza Aghasi, Sohail Bahmani, Justin K. Romberg
2013	J	`jnl`	Greedy sparsity-constrained optimization. J. Mach. Learn. Res. Sohail Bahmani, Bhiksha Raj, Petros T. Boufounos
2013	J	`jnl`	Robust 1-bit Compressive Sensing via Gradient Support Pursuit CoRR Sohail Bahmani, Petros T. Boufounos, Bhiksha Raj
2012	—	`conf`	Informedia @TRECVID 2012. TRECVID 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
2012	J	`jnl`	Learning Model-Based Sparsity via Projected Gradient Descent CoRR Sohail Bahmani, Petros T. Boufounos, Bhiksha Raj
2011	J	`jnl`	A Unifying Analysis of Projected Gradient Descent for $ell_p$-constrained Least Squares CoRR Sohail Bahmani, Bhiksha Raj
2011	—	`conf`	Greedy sparsity-constrained optimization. ACSCC Sohail Bahmani, Petros Boufounos, Bhiksha Raj
2010	J	`jnl`	Joint Decoding of Unequally Protected JPEG2000 Bitstreams and Reed-Solomon Codes. IEEE Trans. Image Process. Sohail Bahmani, Ivan V. Bajic, Atousa Hajshirmohammadi
2009	—	`conf`	Improved Joint Source-Channel Decoding of JPEG2000 Images and Reed-Solomon Codes. ICC Sohail Bahmani, Ivan V. Bajic, Atousa Hajshirmohammadi
2008	Misc	`conf`	Joint source-chanel decoding of JPEG2000 images with unequal loss protection. ICASSP Sohail Bahmani, Ivan V. Bajic, Atousa Hajshirmohammadi