Search Results - Bahmani, Sohail

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  1. 1
    A flexible convex relaxation for phase retrieval

    A flexible convex relaxation for phase retrieval by Bahmani, Sohail, Romberg, Justin

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  2. 2
    Max-Linear Regression by Convex Programming

    Max-Linear Regression by Convex Programming by Kim, Seonho, Bahmani, Sohail, Lee, Kiryung

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  3. 3
    Low-Rank Matrix Estimation from Rank-One Projections by Unlifted Convex Optimization

    Low-Rank Matrix Estimation from Rank-One Projections by Unlifted Convex Optimization by Bahmani, Sohail, Lee, Kiryung

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  4. 4
    Estimation from nonlinear observations via convex programming with application to bilinear regression

    Estimation from nonlinear observations via convex programming with application to bilinear regression by Bahmani, Sohail

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  5. 5
    Solving Equations of Random Convex Functions via Anchored Regression

    Solving Equations of Random Convex Functions via Anchored Regression by Bahmani, Sohail, Romberg, Justin

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  6. 6
    Near-optimal estimation of simultaneously sparse and low-rank matrices from nested linear measurements

    Near-optimal estimation of simultaneously sparse and low-rank matrices from nested linear measurements by Bahmani, Sohail, Romberg, Justin

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  7. 7
    Learning Model-Based Sparsity via Projected Gradient Descent

    Learning Model-Based Sparsity via Projected Gradient Descent by Bahmani, Sohail, Boufounos, Petros T., Raj, Bhiksha

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  8. 8
    Compressive Deconvolution in Random Mask Imaging

    Compressive Deconvolution in Random Mask Imaging by Bahmani, Sohail, Romberg, Justin

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  9. 9
    Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs

    Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs by Bahmani, Sohail, Romberg, Justin, Tetali, Prasad

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  10. 10
    A Fundamental Accuracy--Robustness Trade-off in Regression and Classification

    A Fundamental Accuracy--Robustness Trade-off in Regression and Classification by Bahmani, Sohail

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  11. 11
    Instance-dependent uniform tail bounds for empirical processes

    Instance-dependent uniform tail bounds for empirical processes by Bahmani, Sohail

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  12. 12
    Joint Decoding of Unequally Protected JPEG2000 Bitstreams and Reed-Solomon Codes

    Joint Decoding of Unequally Protected JPEG2000 Bitstreams and Reed-Solomon Codes by Bahmani, Sohail, Bajic, Ivan V, HajShirmohammadi, Atousa

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  13. 13
    Nearly Optimal Robust Mean Estimation via Empirical Characteristic Function

    Nearly Optimal Robust Mean Estimation via Empirical Characteristic Function by Bahmani, Sohail

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  14. 14
    Greedy sparsity-constrained optimization

    Greedy sparsity-constrained optimization by Bahmani, S., Boufounos, P., Raj, B.

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  15. 15
    Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression

    Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression by Bahmani, Sohail

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  16. 16
    Low-Rank Matrix Estimation From Rank-One Projections by Unlifted Convex Optimization

    Low-Rank Matrix Estimation From Rank-One Projections by Unlifted Convex Optimization by Bahmani, Sohail, Lee, Kiryung

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  17. 17
    Max-Linear Regression by Convex Programming

    Max-Linear Regression by Convex Programming by Kim, Seonho, Bahmani, Sohail, Lee, Kiryung

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  18. 18
    Compressive Deconvolution in Random Mask Imaging

    Compressive Deconvolution in Random Mask Imaging by Bahmani, Sohail, Romberg, Justin

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  19. 19
    Convex Programming for Estimation in Nonlinear Recurrent Models

    Convex Programming for Estimation in Nonlinear Recurrent Models by Bahmani, Sohail, Romberg, Justin

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  20. 20
    Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation

    Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation by Bahmani, Sohail, Romberg, Justin

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