S. Oymak, and M. Soltanolkotabi, ``Fast and Reliable Parameter Estimation from Nonlinear Observations,'' manuscript Oct. 2016.
S. Oymak, B. Recht, and M. Soltanolkotabi, ``Sharp Time-Data Tradeoffs for Linear Inverse Problems,'' under revision Nov 2016.
C. Thrampoulidis, S. Oymak, and B. Hassibi. "Recovering Structured Signals in Noise: Least-Squares Meets Compressed Sensing." book chapter in ``Compressed Sensing and its Applications'' 2014.
C. Thrampoulidis, S. Oymak, and B. Hassibi, ``Regularized Linear Regression: A Precise Analysis of the Estimation Error,''
COLT 2015.
C. Thrampoulidis, S. Oymak, and B. Hassibi, ``Simple Error Bounds for Regularized Noisy Linear Inverse Problems,'' ISIT 2014,
arXiv:1401.6578.
S. Oymak, C. Thrampoulidis, and B. Hassibi, ``Simple Bounds for Noisy Linear Inverse Problems with Exact Side Information,'' technical report,
arXiv:1312.0641.
S. Oymak, C. Thrampoulidis, and B. Hassibi, ``The Squared-Error of Generalized LASSO: A Precise Analysis,'' in submission, short version appeared at Allerton 2013,
arXiv:1311.0830, code.
S. Oymak, A. Jalali, M. Fazel, and B. Hassibi, ``Noisy estimation of simultaneously structured models:
Limitations of convex relaxation,'' appeared in
CDC 2013.
S. Oymak, A. Jalali, M. Fazel, Y. C. Eldar, and B. Hassibi, ``Simultaneously Structured Models with Application to Sparse and Low-rank Matrices,'' Trans. on Info. Theory, arXiv:1212.3753.
S. Oymak and B. Hassibi, ``Sharp MSE Bounds for Proximal Denoising,'' Foundations of Computational Mathematics Oct 2015, partial results appeared in Allerton 2012, arXiv:1305.2714.
S. Oymak, A. Khajehnejad and B. Hassibi, ``Recovery Threshold for Optimal Weight $\ell_1$ Minimization,'' International Symposium on Information Theory (ISIT) 2012, Cambridge, MA, PDF.
A. K. Krishnaswamy, , S. Oymak, and B. Hassibi. "A simpler approach to weighted ℓ 1 minimization." ICASSP 2012.
C. T. Li, S. Oymak, and B. Hassibi. "Deterministic phase guarantees for robust recovery in incoherent dictionaries." Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on. IEEE, 2012.
S. Oymak, K. Mohan, M. Fazel, and B. Hassibi, ``A Simplified Approach to Recovery Conditions for Low Rank Matrices,'' ISIT 2011, St. Petersburg, Russia, arXiv:1103.1178.
Samet Oymak, M. Amin Khajehnejad, and B. Hassibi. ``Weighted compressed sensing and rank minimization.'' ICASSP 2011.
M. Chowdhury, S. Oymak, M. A. Khajehnejad, & B. Hassibi Robustness Analysis of a List Decoding Algorithm for Compressed Sensing ICASSP 2011.
Dimensionality reduction and Embedding techniques
S. Oymak, ``Near-optimal sample complexity bounds for circulant binary embedding,'' Feb. 2016 short version to appear at ICASSP 2017.
S. Oymak, and J. Tropp, ``Universality laws for randomized dimension reduction, with applications,'' manuscript Dec 2015.
S. Oymak, B. Recht, and M. Soltanolkotabi, ``Isometric sketching of any set via the Restricted Isometry Property,'' under revision Dec 2016.
S. Oymak and Ben Recht, ``Near optimal bounds for binary embeddings of arbitrary sets,'' manuscript Dec 2015.
S. Oymak and B. Hassibi, ``The proportional mean decomposition: A bridge between the Gaussian and bernoulli ensembles'' ICASSP 2015.
S. Oymak, A. Khajehnejad, and B. Hassibi, ``Subspace Expanders and Matrix Rank Minimization,'' ISIT 2011, PDF.
S. Oymak and B. Hassibi, ``New Null Space Results and Recovery Thresholds for Matrix Rank Minimization,'' partial results appeared in ISIT 2011, technical report arXiv:1011.6326.
Graph processing
X. Pan, D. Papailiopoulos, S. Oymak, B. Recht, K. Ramchandran, & M. I. Jordan ``Parallel Correlation Clustering on Big Graphs,'' NIPS 2015.
R. Korlakai Vinayak, S. Oymak, and B. Hassibi, ``Sharp Performance Bounds for Graph Clustering via Convex Optimization,'' ICASSP 2014, full report.
R. Korlakai Vinayak, S. Oymak, and B. Hassibi, ``Graph Clustering With Missing Data: Convex Algorithms and Analysis.,'' NIPS 2014.
S. Oymak and B. Hassibi, ``Finding Dense Clusters via Low Rank + Sparse Decomposition,'' related results appeared at ICASSP 2014, NIPS 2014 technical report.
Nonlinear models / Phase retrieval
K. Jaganathan, S. Oymak, and B. Hassibi, ``Sparse Phase Retrieval: Uniqueness Guarantees and Recovery Algorithms,'' accepted to Transactions on Signal Processing Aug. 2016, arXiv:1311.2745.
K. Jaganathan, S. Oymak, and B. Hassibi, ``Sparse Phase Retrieval: Convex Algorithms and Limitations,'' appeared in ISIT 2013, arXiv:1303.4128, code.
K. Jaganathan, S. Oymak, and B. Hassibi, ``On Robust Phase Retrieval for Sparse Signals,'' Allerton 2012, UIUC, Monticello, IL, PDF.
K. Jaganathan, S. Oymak, and B. Hassibi, ``Recovery of Sparse 1-D Signals from the Magnitudes of their Fourier Transform,'' ISIT 2012, arXiv:1206.1405, code.
K. Jaganathan, S. Oymak, and B. Hassibi, ``Phase Retrieval for Sparse Signals Using Rank Minimization,'' ICASSP 2012, PDF.