Sohail Bahmani

Kiryung Lee

IEEE Trans. Inf. Theory, 2024

A Fundamental Accuracy-Robustness Trade-off in Regression and Classification.

[BibT_eX]

[DOI]

CoRR, 2024

2021

Low-Rank Matrix Estimation from Rank-One Projections by Unlifted Convex Optimization.

[BibT_eX]

[DOI]

Kiryung Lee

SIAM J. Matrix Anal. Appl., 2021

Decentralized Feature-Distributed Optimization for Generalized Linear Models.

[BibT_eX]

[DOI]

Brighton Ancelin

CoRR, 2021

Max-Linear Regression by Scalable and Guaranteed Convex Programming.

[BibT_eX]

[DOI]

Seonho Kim

Kiryung Lee

CoRR, 2021

2019

Solving Equations of Random Convex Functions via Anchored Regression.

[BibT_eX]

[DOI]

Found. Comput. Math., 2019

Phase Retrieval of Low-Rank Matrices by Anchored Regression.

[BibT_eX]

[DOI]

CoRR, 2019

Convex Programming for Estimation in Nonlinear Recurrent Models.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs.

[BibT_eX]

[DOI]

Prasad Tetali

IEEE Trans. Netw. Sci. Eng., 2018

Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Anchored Regression: Solving Random Convex Equations via Convex Programming.

[BibT_eX]

[DOI]

CoRR, 2017

Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Learning Model-Based Sparsity via Projected Gradient Descent.

[BibT_eX]

[DOI]

Petros T. Boufounos

IEEE Trans. Inf. Theory, 2016

2015

Compressive Deconvolution in Random Mask Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2015

Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

Near-Optimal Estimation of Simultaneously Sparse and Low-Rank Matrices from Nested Linear Measurements.

[BibT_eX]

[DOI]

CoRR, 2015

Efficient Compressive Phase Retrieval with Constrained Sensing Vectors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Sketching for simultaneously sparse and low-rank covariance matrices.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2013

Robust 1-bit Compressive Sensing via Gradient Support Pursuit

[BibT_eX]

[DOI]

Petros T. Boufounos

CoRR, 2013

A tightest convex envelope heuristic to row sparse and rank one matrices.

[BibT_eX]

[DOI]

Alireza Aghasi

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Informedia @TRECVID 2012.

[BibT_eX]

[DOI]

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

2011

A Unifying Analysis of Projected Gradient Descent for $ell_p$-constrained Least Squares

[BibT_eX]

[DOI]

CoRR, 2011

Greedy sparsity-constrained optimization.

[BibT_eX]

[DOI]

Petros Boufounos

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Joint Decoding of Unequally Protected JPEG2000 Bitstreams and Reed-Solomon Codes.

[BibT_eX]

[DOI]

Ivan V. Bajic

Atousa Hajshirmohammadi

IEEE Trans. Image Process., 2010

2009

Improved Joint Source-Channel Decoding of JPEG2000 Images and Reed-Solomon Codes.

[BibT_eX]

[DOI]

Ivan V. Bajic

Atousa Hajshirmohammadi

Proceedings of IEEE International Conference on Communications, 2009

2008

Joint source-chanel decoding of JPEG2000 images with unequal loss protection.

[BibT_eX]

[DOI]